代码提供

src/YOLOv8face1/.VSCodeCounter/2025-07-13_22-39-37/details.md

@@ -0,0 +1,65 @@
+# Details
+
+Date : 2025-07-13 22:39:37
+
+Directory d:\\codes\\YOLOv8face1
+
+Total : 50 files,  1044944 codes, 269 comments, 6297 blanks, all 1051510 lines
+
+[Summary](results.md) / Details / [Diff Summary](diff.md) / [Diff Details](diff-details.md)
+
+## Files
+| filename | language | code | comment | blank | total |
+| :--- | :--- | ---: | ---: | ---: | ---: |
+| [.idea/YOLOv8face.iml](/.idea/YOLOv8face.iml) | XML | 12 | 0 | 0 | 12 |
+| [.idea/inspectionProfiles/Project\_Default.xml](/.idea/inspectionProfiles/Project_Default.xml) | XML | 20 | 0 | 0 | 20 |
+| [.idea/inspectionProfiles/profiles\_settings.xml](/.idea/inspectionProfiles/profiles_settings.xml) | XML | 6 | 0 | 0 | 6 |
+| [.idea/misc.xml](/.idea/misc.xml) | XML | 4 | 0 | 0 | 4 |
+| [.idea/modules.xml](/.idea/modules.xml) | XML | 8 | 0 | 0 | 8 |
+| [CITATION.cff](/CITATION.cff) | YAML | 19 | 1 | 1 | 21 |
+| [CameraTest.py](/CameraTest.py) | Python | 25 | 12 | 9 | 46 |
+| [Config.py](/Config.py) | Python | 4 | 3 | 3 | 10 |
+| [MainProgram.py](/MainProgram.py) | Python | 442 | 99 | 84 | 625 |
+| [UIProgram/QssLoader.py](/UIProgram/QssLoader.py) | Python | 7 | 0 | 1 | 8 |
+| [UIProgram/UiMain.py](/UIProgram/UiMain.py) | Python | 505 | 7 | 8 | 520 |
+| [UIProgram/\_\_init\_\_.py](/UIProgram/__init__.py) | Python | 0 | 0 | 1 | 1 |
+| [UIProgram/precess\_bar.py](/UIProgram/precess_bar.py) | Python | 32 | 3 | 12 | 47 |
+| [UIProgram/style.css](/UIProgram/style.css) | PostCSS | 12 | 0 | 4 | 16 |
+| [UIProgram/ui\_sources.py](/UIProgram/ui_sources.py) | Python | 0 | 7 | 4 | 11 |
+| [UIProgram/ui\_sources\_rc.py](/UIProgram/ui_sources_rc.py) | Python | 33,449 | 6 | 11 | 33,466 |
+| [VideoTest.py](/VideoTest.py) | Python | 18 | 12 | 7 | 37 |
+| [datasets/count\_size.py](/datasets/count_size.py) | Python | 79 | 32 | 19 | 130 |
+| [datasets/faceData/data.yaml](/datasets/faceData/data.yaml) | YAML | 5 | 2 | 4 | 11 |
+| [datasets/micai/data.yaml](/datasets/micai/data.yaml) | YAML | 5 | 0 | 3 | 8 |
+| [detect\_tools.py](/detect_tools.py) | Python | 132 | 55 | 36 | 223 |
+| [imgTest.py](/imgTest.py) | Python | 9 | 8 | 4 | 21 |
+| [installPackages.py](/installPackages.py) | Python | 5 | 0 | 3 | 8 |
+| [main.py](/main.py) | Python | 5 | 0 | 0 | 5 |
+| [models/best.pt](/models/best.pt) | XML | 35,549 | 0 | 123 | 35,672 |
+| [requirements.txt](/requirements.txt) | pip requirements | 30 | 1 | 0 | 31 |
+| [runs/detect/train10/args.yaml](/runs/detect/train10/args.yaml) | YAML | 105 | 0 | 1 | 106 |
+| [runs/detect/train11/args.yaml](/runs/detect/train11/args.yaml) | YAML | 105 | 0 | 1 | 106 |
+| [runs/detect/train11/weights/best.pt](/runs/detect/train11/weights/best.pt) | XML | 32,298 | 0 | 82 | 32,380 |
+| [runs/detect/train11/weights/last.pt](/runs/detect/train11/weights/last.pt) | XML | 32,298 | 0 | 82 | 32,380 |
+| [runs/detect/train2/args.yaml](/runs/detect/train2/args.yaml) | YAML | 105 | 0 | 1 | 106 |
+| [runs/detect/train3/args.yaml](/runs/detect/train3/args.yaml) | YAML | 105 | 0 | 1 | 106 |
+| [runs/detect/train4/args.yaml](/runs/detect/train4/args.yaml) | YAML | 105 | 0 | 1 | 106 |
+| [runs/detect/train5/args.yaml](/runs/detect/train5/args.yaml) | YAML | 105 | 0 | 1 | 106 |
+| [runs/detect/train6/args.yaml](/runs/detect/train6/args.yaml) | YAML | 105 | 0 | 1 | 106 |
+| [runs/detect/train6/weights/best.pt](/runs/detect/train6/weights/best.pt) | XML | 29,917 | 0 | 49 | 29,966 |
+| [runs/detect/train6/weights/last.pt](/runs/detect/train6/weights/last.pt) | XML | 30,047 | 0 | 50 | 30,097 |
+| [runs/detect/train7/args.yaml](/runs/detect/train7/args.yaml) | YAML | 105 | 0 | 1 | 106 |
+| [runs/detect/train8/args.yaml](/runs/detect/train8/args.yaml) | YAML | 105 | 0 | 1 | 106 |
+| [runs/detect/train9/args.yaml](/runs/detect/train9/args.yaml) | YAML | 105 | 0 | 1 | 106 |
+| [runs/detect/train/args.yaml](/runs/detect/train/args.yaml) | YAML | 98 | 0 | 1 | 99 |
+| [runs/detect/train/weights/best.pt](/runs/detect/train/weights/best.pt) | XML | 35,549 | 0 | 123 | 35,672 |
+| [runs/detect/train/weights/last.pt](/runs/detect/train/weights/last.pt) | XML | 35,408 | 0 | 102 | 35,510 |
+| [setup.py](/setup.py) | Python | 77 | 17 | 12 | 106 |
+| [test\_CUDA.py](/test_CUDA.py) | Python | 7 | 0 | 1 | 8 |
+| [train.py](/train.py) | Python | 16 | 4 | 3 | 23 |
+| [yolo11n.pt](/yolo11n.pt) | XML | 35,992 | 0 | 174 | 36,166 |
+| [yolov8m.pt](/yolov8m.pt) | XML | 520,050 | 0 | 4,022 | 524,072 |
+| [yolov8n.pt](/yolov8n.pt) | XML | 43,044 | 0 | 229 | 43,273 |
+| [yolov8s.pt](/yolov8s.pt) | XML | 178,711 | 0 | 1,020 | 179,731 |
+
+[Summary](results.md) / Details / [Diff Summary](diff.md) / [Diff Details](diff-details.md)

src/YOLOv8face1/.VSCodeCounter/2025-07-13_22-39-37/diff-details.md

@@ -0,0 +1,15 @@
+# Diff Details
+
+Date : 2025-07-13 22:39:37
+
+Directory d:\\codes\\YOLOv8face1
+
+Total : 0 files,  0 codes, 0 comments, 0 blanks, all 0 lines
+
+[Summary](results.md) / [Details](details.md) / [Diff Summary](diff.md) / Diff Details
+
+## Files
+| filename | language | code | comment | blank | total |
+| :--- | :--- | ---: | ---: | ---: | ---: |
+
+[Summary](results.md) / [Details](details.md) / [Diff Summary](diff.md) / Diff Details

src/YOLOv8face1/.VSCodeCounter/2025-07-13_22-39-37/diff.csv

@@ -0,0 +1,2 @@
+"filename", "language", "", "comment", "blank", "total"
+"Total", "-", , 0, 0, 0

src/YOLOv8face1/.VSCodeCounter/2025-07-13_22-39-37/diff.md

@@ -0,0 +1,19 @@
+# Diff Summary
+
+Date : 2025-07-13 22:39:37
+
+Directory d:\\codes\\YOLOv8face1
+
+Total : 0 files,  0 codes, 0 comments, 0 blanks, all 0 lines
+
+[Summary](results.md) / [Details](details.md) / Diff Summary / [Diff Details](diff-details.md)
+
+## Languages
+| language | files | code | comment | blank | total |
+| :--- | ---: | ---: | ---: | ---: | ---: |
+
+## Directories
+| path | files | code | comment | blank | total |
+| :--- | ---: | ---: | ---: | ---: | ---: |
+
+[Summary](results.md) / [Details](details.md) / Diff Summary / [Diff Details](diff-details.md)

src/YOLOv8face1/.VSCodeCounter/2025-07-13_22-39-37/diff.txt

@@ -0,0 +1,22 @@
+Date : 2025-07-13 22:39:37
+Directory : d:\codes\YOLOv8face1
+Total : 0 files,  0 codes, 0 comments, 0 blanks, all 0 lines
+
+Languages
++----------+------------+------------+------------+------------+------------+
+| language | files      | code       | comment    | blank      | total      |
++----------+------------+------------+------------+------------+------------+
++----------+------------+------------+------------+------------+------------+
+
+Directories
++------+------------+------------+------------+------------+------------+
+| path | files      | code       | comment    | blank      | total      |
++------+------------+------------+------------+------------+------------+
++------+------------+------------+------------+------------+------------+
+
+Files
++----------+----------+------------+------------+------------+------------+
+| filename | language | code       | comment    | blank      | total      |
++----------+----------+------------+------------+------------+------------+
+| Total    |          |          0 |          0 |          0 |          0 |
++----------+----------+------------+------------+------------+------------+

src/YOLOv8face1/.VSCodeCounter/2025-07-13_22-39-37/results.csv

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+"d:\codes\YOLOv8face1\UIProgram\QssLoader.py", "Python", 7, 0, 0, 0, 0, 0, 1, 8
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+"d:\codes\YOLOv8face1\VideoTest.py", "Python", 18, 0, 0, 0, 0, 12, 7, 37
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src/YOLOv8face1/.VSCodeCounter/2025-07-13_22-39-37/results.md

@@ -0,0 +1,54 @@
+# Summary
+
+Date : 2025-07-13 22:39:37
+
+Directory d:\\codes\\YOLOv8face1
+
+Total : 50 files,  1044944 codes, 269 comments, 6297 blanks, all 1051510 lines
+
+Summary / [Details](details.md) / [Diff Summary](diff.md) / [Diff Details](diff-details.md)
+
+## Languages
+| language | files | code | comment | blank | total |
+| :--- | ---: | ---: | ---: | ---: | ---: |
+| XML | 16 | 1,008,913 | 0 | 6,056 | 1,014,969 |
+| Python | 18 | 34,812 | 265 | 218 | 35,295 |
+| YAML | 14 | 1,177 | 3 | 19 | 1,199 |
+| pip requirements | 1 | 30 | 1 | 0 | 31 |
+| PostCSS | 1 | 12 | 0 | 4 | 16 |
+
+## Directories
+| path | files | code | comment | blank | total |
+| :--- | ---: | ---: | ---: | ---: | ---: |
+| . | 50 | 1,044,944 | 269 | 6,297 | 1,051,510 |
+| . (Files) | 17 | 778,586 | 212 | 5,608 | 784,406 |
+| .idea | 5 | 50 | 0 | 0 | 50 |
+| .idea (Files) | 3 | 24 | 0 | 0 | 24 |
+| .idea\\inspectionProfiles | 2 | 26 | 0 | 0 | 26 |
+| UIProgram | 7 | 34,005 | 23 | 41 | 34,069 |
+| datasets | 3 | 89 | 34 | 26 | 149 |
+| datasets (Files) | 1 | 79 | 32 | 19 | 130 |
+| datasets\\faceData | 1 | 5 | 2 | 4 | 11 |
+| datasets\\micai | 1 | 5 | 0 | 3 | 8 |
+| models | 1 | 35,549 | 0 | 123 | 35,672 |
+| runs | 17 | 196,665 | 0 | 499 | 197,164 |
+| runs\\detect | 17 | 196,665 | 0 | 499 | 197,164 |
+| runs\\detect\\train | 3 | 71,055 | 0 | 226 | 71,281 |
+| runs\\detect\\train (Files) | 1 | 98 | 0 | 1 | 99 |
+| runs\\detect\\train10 | 1 | 105 | 0 | 1 | 106 |
+| runs\\detect\\train11 | 3 | 64,701 | 0 | 165 | 64,866 |
+| runs\\detect\\train11 (Files) | 1 | 105 | 0 | 1 | 106 |
+| runs\\detect\\train11\\weights | 2 | 64,596 | 0 | 164 | 64,760 |
+| runs\\detect\\train2 | 1 | 105 | 0 | 1 | 106 |
+| runs\\detect\\train3 | 1 | 105 | 0 | 1 | 106 |
+| runs\\detect\\train4 | 1 | 105 | 0 | 1 | 106 |
+| runs\\detect\\train5 | 1 | 105 | 0 | 1 | 106 |
+| runs\\detect\\train6 | 3 | 60,069 | 0 | 100 | 60,169 |
+| runs\\detect\\train6 (Files) | 1 | 105 | 0 | 1 | 106 |
+| runs\\detect\\train6\\weights | 2 | 59,964 | 0 | 99 | 60,063 |
+| runs\\detect\\train7 | 1 | 105 | 0 | 1 | 106 |
+| runs\\detect\\train8 | 1 | 105 | 0 | 1 | 106 |
+| runs\\detect\\train9 | 1 | 105 | 0 | 1 | 106 |
+| runs\\detect\\train\\weights | 2 | 70,957 | 0 | 225 | 71,182 |
+
+Summary / [Details](details.md) / [Diff Summary](diff.md) / [Diff Details](diff-details.md)

src/YOLOv8face1/.VSCodeCounter/2025-07-13_22-39-37/results.txt

@@ -0,0 +1,107 @@
+Date : 2025-07-13 22:39:37
+Directory : d:\codes\YOLOv8face1
+Total : 50 files,  1044944 codes, 269 comments, 6297 blanks, all 1051510 lines
+
+Languages
++------------------+------------+------------+------------+------------+------------+
+| language         | files      | code       | comment    | blank      | total      |
++------------------+------------+------------+------------+------------+------------+
+| XML              |         16 |  1,008,913 |          0 |      6,056 |  1,014,969 |
+| Python           |         18 |     34,812 |        265 |        218 |     35,295 |
+| YAML             |         14 |      1,177 |          3 |         19 |      1,199 |
+| pip requirements |          1 |         30 |          1 |          0 |         31 |
+| PostCSS          |          1 |         12 |          0 |          4 |         16 |
++------------------+------------+------------+------------+------------+------------+
+
+Directories
++---------------------------------------------------------------------+------------+------------+------------+------------+------------+
+| path                                                                | files      | code       | comment    | blank      | total      |
++---------------------------------------------------------------------+------------+------------+------------+------------+------------+
+| .                                                                   |         50 |  1,044,944 |        269 |      6,297 |  1,051,510 |
+| . (Files)                                                           |         17 |    778,586 |        212 |      5,608 |    784,406 |
+| .idea                                                               |          5 |         50 |          0 |          0 |         50 |
+| .idea (Files)                                                       |          3 |         24 |          0 |          0 |         24 |
+| .idea\inspectionProfiles                                            |          2 |         26 |          0 |          0 |         26 |
+| UIProgram                                                           |          7 |     34,005 |         23 |         41 |     34,069 |
+| datasets                                                            |          3 |         89 |         34 |         26 |        149 |
+| datasets (Files)                                                    |          1 |         79 |         32 |         19 |        130 |
+| datasets\faceData                                                   |          1 |          5 |          2 |          4 |         11 |
+| datasets\micai                                                      |          1 |          5 |          0 |          3 |          8 |
+| models                                                              |          1 |     35,549 |          0 |        123 |     35,672 |
+| runs                                                                |         17 |    196,665 |          0 |        499 |    197,164 |
+| runs\detect                                                         |         17 |    196,665 |          0 |        499 |    197,164 |
+| runs\detect\train                                                   |          3 |     71,055 |          0 |        226 |     71,281 |
+| runs\detect\train (Files)                                           |          1 |         98 |          0 |          1 |         99 |
+| runs\detect\train10                                                 |          1 |        105 |          0 |          1 |        106 |
+| runs\detect\train11                                                 |          3 |     64,701 |          0 |        165 |     64,866 |
+| runs\detect\train11 (Files)                                         |          1 |        105 |          0 |          1 |        106 |
+| runs\detect\train11\weights                                         |          2 |     64,596 |          0 |        164 |     64,760 |
+| runs\detect\train2                                                  |          1 |        105 |          0 |          1 |        106 |
+| runs\detect\train3                                                  |          1 |        105 |          0 |          1 |        106 |
+| runs\detect\train4                                                  |          1 |        105 |          0 |          1 |        106 |
+| runs\detect\train5                                                  |          1 |        105 |          0 |          1 |        106 |
+| runs\detect\train6                                                  |          3 |     60,069 |          0 |        100 |     60,169 |
+| runs\detect\train6 (Files)                                          |          1 |        105 |          0 |          1 |        106 |
+| runs\detect\train6\weights                                          |          2 |     59,964 |          0 |         99 |     60,063 |
+| runs\detect\train7                                                  |          1 |        105 |          0 |          1 |        106 |
+| runs\detect\train8                                                  |          1 |        105 |          0 |          1 |        106 |
+| runs\detect\train9                                                  |          1 |        105 |          0 |          1 |        106 |
+| runs\detect\train\weights                                           |          2 |     70,957 |          0 |        225 |     71,182 |
++---------------------------------------------------------------------+------------+------------+------------+------------+------------+
+
+Files
++---------------------------------------------------------------------+------------------+------------+------------+------------+------------+
+| filename                                                            | language         | code       | comment    | blank      | total      |
++---------------------------------------------------------------------+------------------+------------+------------+------------+------------+
+| d:\codes\YOLOv8face1\.idea\YOLOv8face.iml                           | XML              |         12 |          0 |          0 |         12 |
+| d:\codes\YOLOv8face1\.idea\inspectionProfiles\Project_Default.xml   | XML              |         20 |          0 |          0 |         20 |
+| d:\codes\YOLOv8face1\.idea\inspectionProfiles\profiles_settings.xml | XML              |          6 |          0 |          0 |          6 |
+| d:\codes\YOLOv8face1\.idea\misc.xml                                 | XML              |          4 |          0 |          0 |          4 |
+| d:\codes\YOLOv8face1\.idea\modules.xml                              | XML              |          8 |          0 |          0 |          8 |
+| d:\codes\YOLOv8face1\CITATION.cff                                   | YAML             |         19 |          1 |          1 |         21 |
+| d:\codes\YOLOv8face1\CameraTest.py                                  | Python           |         25 |         12 |          9 |         46 |
+| d:\codes\YOLOv8face1\Config.py                                      | Python           |          4 |          3 |          3 |         10 |
+| d:\codes\YOLOv8face1\MainProgram.py                                 | Python           |        442 |         99 |         84 |        625 |
+| d:\codes\YOLOv8face1\UIProgram\QssLoader.py                         | Python           |          7 |          0 |          1 |          8 |
+| d:\codes\YOLOv8face1\UIProgram\UiMain.py                            | Python           |        505 |          7 |          8 |        520 |
+| d:\codes\YOLOv8face1\UIProgram\__init__.py                          | Python           |          0 |          0 |          1 |          1 |
+| d:\codes\YOLOv8face1\UIProgram\precess_bar.py                       | Python           |         32 |          3 |         12 |         47 |
+| d:\codes\YOLOv8face1\UIProgram\style.css                            | PostCSS          |         12 |          0 |          4 |         16 |
+| d:\codes\YOLOv8face1\UIProgram\ui_sources.py                        | Python           |          0 |          7 |          4 |         11 |
+| d:\codes\YOLOv8face1\UIProgram\ui_sources_rc.py                     | Python           |     33,449 |          6 |         11 |     33,466 |
+| d:\codes\YOLOv8face1\VideoTest.py                                   | Python           |         18 |         12 |          7 |         37 |
+| d:\codes\YOLOv8face1\datasets\count_size.py                         | Python           |         79 |         32 |         19 |        130 |
+| d:\codes\YOLOv8face1\datasets\faceData\data.yaml                    | YAML             |          5 |          2 |          4 |         11 |
+| d:\codes\YOLOv8face1\datasets\micai\data.yaml                       | YAML             |          5 |          0 |          3 |          8 |
+| d:\codes\YOLOv8face1\detect_tools.py                                | Python           |        132 |         55 |         36 |        223 |
+| d:\codes\YOLOv8face1\imgTest.py                                     | Python           |          9 |          8 |          4 |         21 |
+| d:\codes\YOLOv8face1\installPackages.py                             | Python           |          5 |          0 |          3 |          8 |
+| d:\codes\YOLOv8face1\main.py                                        | Python           |          5 |          0 |          0 |          5 |
+| d:\codes\YOLOv8face1\models\best.pt                                 | XML              |     35,549 |          0 |        123 |     35,672 |
+| d:\codes\YOLOv8face1\requirements.txt                               | pip requirements |         30 |          1 |          0 |         31 |
+| d:\codes\YOLOv8face1\runs\detect\train10\args.yaml                  | YAML             |        105 |          0 |          1 |        106 |
+| d:\codes\YOLOv8face1\runs\detect\train11\args.yaml                  | YAML             |        105 |          0 |          1 |        106 |
+| d:\codes\YOLOv8face1\runs\detect\train11\weights\best.pt            | XML              |     32,298 |          0 |         82 |     32,380 |
+| d:\codes\YOLOv8face1\runs\detect\train11\weights\last.pt            | XML              |     32,298 |          0 |         82 |     32,380 |
+| d:\codes\YOLOv8face1\runs\detect\train2\args.yaml                   | YAML             |        105 |          0 |          1 |        106 |
+| d:\codes\YOLOv8face1\runs\detect\train3\args.yaml                   | YAML             |        105 |          0 |          1 |        106 |
+| d:\codes\YOLOv8face1\runs\detect\train4\args.yaml                   | YAML             |        105 |          0 |          1 |        106 |
+| d:\codes\YOLOv8face1\runs\detect\train5\args.yaml                   | YAML             |        105 |          0 |          1 |        106 |
+| d:\codes\YOLOv8face1\runs\detect\train6\args.yaml                   | YAML             |        105 |          0 |          1 |        106 |
+| d:\codes\YOLOv8face1\runs\detect\train6\weights\best.pt             | XML              |     29,917 |          0 |         49 |     29,966 |
+| d:\codes\YOLOv8face1\runs\detect\train6\weights\last.pt             | XML              |     30,047 |          0 |         50 |     30,097 |
+| d:\codes\YOLOv8face1\runs\detect\train7\args.yaml                   | YAML             |        105 |          0 |          1 |        106 |
+| d:\codes\YOLOv8face1\runs\detect\train8\args.yaml                   | YAML             |        105 |          0 |          1 |        106 |
+| d:\codes\YOLOv8face1\runs\detect\train9\args.yaml                   | YAML             |        105 |          0 |          1 |        106 |
+| d:\codes\YOLOv8face1\runs\detect\train\args.yaml                    | YAML             |         98 |          0 |          1 |         99 |
+| d:\codes\YOLOv8face1\runs\detect\train\weights\best.pt              | XML              |     35,549 |          0 |        123 |     35,672 |
+| d:\codes\YOLOv8face1\runs\detect\train\weights\last.pt              | XML              |     35,408 |          0 |        102 |     35,510 |
+| d:\codes\YOLOv8face1\setup.py                                       | Python           |         77 |         17 |         12 |        106 |
+| d:\codes\YOLOv8face1\test_CUDA.py                                   | Python           |          7 |          0 |          1 |          8 |
+| d:\codes\YOLOv8face1\train.py                                       | Python           |         16 |          4 |          3 |         23 |
+| d:\codes\YOLOv8face1\yolo11n.pt                                     | XML              |     35,992 |          0 |        174 |     36,166 |
+| d:\codes\YOLOv8face1\yolov8m.pt                                     | XML              |    520,050 |          0 |      4,022 |    524,072 |
+| d:\codes\YOLOv8face1\yolov8n.pt                                     | XML              |     43,044 |          0 |        229 |     43,273 |
+| d:\codes\YOLOv8face1\yolov8s.pt                                     | XML              |    178,711 |          0 |      1,020 |    179,731 |
+| Total                                                               |                  |  1,044,944 |        269 |      6,297 |  1,051,510 |
++---------------------------------------------------------------------+------------------+------------+------------+------------+------------+

src/YOLOv8face1/.idea/.gitignore

@@ -0,0 +1,8 @@
+# 默认忽略的文件
+/shelf/
+/workspace.xml
+# 基于编辑器的 HTTP 客户端请求
+/httpRequests/
+# Datasource local storage ignored files
+/dataSources/
+/dataSources.local.xml

src/YOLOv8face1/.idea/YOLOv8face.iml

@@ -0,0 +1,12 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<module type="PYTHON_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <content url="file://$MODULE_DIR$" />
+    <orderEntry type="jdk" jdkName="py39" jdkType="Python SDK" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+  <component name="PyDocumentationSettings">
+    <option name="format" value="GOOGLE" />
+    <option name="myDocStringFormat" value="Google" />
+  </component>
+</module>

src/YOLOv8face1/.idea/inspectionProfiles/Project_Default.xml

@@ -0,0 +1,20 @@
+<component name="InspectionProjectProfileManager">
+  <profile version="1.0">
+    <option name="myName" value="Project Default" />
+    <inspection_tool class="PyPackageRequirementsInspection" enabled="true" level="WARNING" enabled_by_default="true">
+      <option name="ignoredPackages">
+        <value>
+          <list size="7">
+            <item index="0" class="java.lang.String" itemvalue="torch" />
+            <item index="1" class="java.lang.String" itemvalue="torchvision" />
+            <item index="2" class="java.lang.String" itemvalue="seaborn" />
+            <item index="3" class="java.lang.String" itemvalue="thop" />
+            <item index="4" class="java.lang.String" itemvalue="matplotlib" />
+            <item index="5" class="java.lang.String" itemvalue="pyqt5-tools" />
+            <item index="6" class="java.lang.String" itemvalue="ultralytics" />
+          </list>
+        </value>
+      </option>
+    </inspection_tool>
+  </profile>
+</component>

src/YOLOv8face1/.idea/inspectionProfiles/profiles_settings.xml

@@ -0,0 +1,6 @@
+<component name="InspectionProjectProfileManager">
+  <settings>
+    <option name="USE_PROJECT_PROFILE" value="false" />
+    <version value="1.0" />
+  </settings>
+</component>

src/YOLOv8face1/.idea/misc.xml

@@ -0,0 +1,4 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectRootManager" version="2" project-jdk-name="py39" project-jdk-type="Python SDK" />
+</project>

src/YOLOv8face1/.idea/modules.xml

@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/YOLOv8face.iml" filepath="$PROJECT_DIR$/.idea/YOLOv8face.iml" />
+    </modules>
+  </component>
+</project>

src/YOLOv8face1/CITATION.cff

@@ -0,0 +1,20 @@
+cff-version: 1.2.0
+preferred-citation:
+  type: software
+  message: If you use this software, please cite it as below.
+  authors:
+  - family-names: Jocher
+    given-names: Glenn
+    orcid: "https://orcid.org/0000-0001-5950-6979"
+  - family-names: Chaurasia
+    given-names: Ayush
+    orcid: "https://orcid.org/0000-0002-7603-6750"
+  - family-names: Qiu
+    given-names: Jing
+    orcid: "https://orcid.org/0000-0003-3783-7069"
+  title: "YOLO by Ultralytics"
+  version: 8.0.0
+  # doi: 10.5281/zenodo.3908559  # TODO
+  date-released: 2023-1-10
+  license: AGPL-3.0
+  url: "https://github.com/ultralytics/ultralytics"

src/YOLOv8face1/CameraTest.py

@@ -0,0 +1,46 @@
+#coding:utf-8
+import cv2
+from ultralytics import YOLO
+
+# 所需加载的模型目录
+path = 'models/best.pt'
+
+# Load the YOLOv8 model
+model = YOLO(path)
+
+ID = 0
+while(ID<10):
+    cap = cv2.VideoCapture(ID)
+    # get a frame
+    ret, frame = cap.read()
+    if ret == False:
+        ID += 1
+    else:
+        print('摄像头ID:',ID)
+        break
+
+# Loop through the video frames
+while cap.isOpened():
+    # Read a frame from the video
+    success, frame = cap.read()
+
+    if success:
+        # Run YOLOv8 inference on the frame
+        results = model(frame)
+
+        # Visualize the results on the frame
+        annotated_frame = results[0].plot()
+
+        # Display the annotated frame
+        cv2.imshow("YOLOv8 Inference", annotated_frame)
+
+        # Break the loop if 'q' is pressed
+        if cv2.waitKey(1) & 0xFF == ord("q"):
+            break
+    else:
+        # Break the loop if the end of the video is reached
+        break
+
+# Release the video capture object and close the display window
+cap.release()
+cv2.destroyAllWindows()

src/YOLOv8face1/Config.py

@@ -0,0 +1,9 @@
+#coding:utf-8
+
+# 图片及视频检测结果保存路径
+save_path = 'save_data'
+
+# 使用的模型路径
+model_path = 'runs/detect/train6/weights/best.pt'
+names = {0: 'face'}
+CH_names = ['迷彩']

src/YOLOv8face1/MainProgram.py

@@ -0,0 +1,624 @@
+# -*- coding: utf-8 -*-
+import time
+from PyQt5.QtWidgets import QApplication , QMainWindow, QFileDialog, \
+    QMessageBox,QWidget,QHeaderView,QTableWidgetItem, QAbstractItemView
+import sys
+import os
+from PIL import ImageFont
+from ultralytics import YOLO
+sys.path.append('UIProgram')
+from UIProgram.UiMain import Ui_MainWindow
+import sys
+from PyQt5.QtCore import QTimer, Qt, QThread, pyqtSignal,QCoreApplication
+import detect_tools as tools
+import cv2
+import Config
+from UIProgram.QssLoader import QSSLoader
+from UIProgram.precess_bar import ProgressBar
+import numpy as np
+# import torch
+
+class MainWindow(QMainWindow):
+    def __init__(self, parent=None):
+        # 调用父类 QMainWindow 的构造函数，初始化当前窗口实例
+        super(QMainWindow, self).__init__(parent)
+        # 创建 Ui_MainWindow 类的实例，该类用于管理界面元素
+        self.ui = Ui_MainWindow()
+        # 调用 setupUi 方法，将界面元素设置到当前窗口
+        self.ui.setupUi(self)
+        # 调用 initMain 方法，进行窗口的初始化操作
+        self.initMain()
+        # 调用 signalconnect 方法，连接界面元素的信号与相应的槽函数
+        self.signalconnect()
+
+        # 加载css渲染效果
+        # 指定 CSS 样式文件的路径
+        style_file = 'UIProgram/style.css'
+        # 调用 QSSLoader 类的 read_qss_file 方法，读取 CSS 样式文件内容
+        qssStyleSheet = QSSLoader.read_qss_file(style_file)
+        # 将读取到的 CSS 样式应用到当前窗口
+        self.setStyleSheet(qssStyleSheet)
+
+    #设置输入源的按钮（图片、视频、摄像头等等）
+    def signalconnect(self):
+        self.ui.PicBtn.clicked.connect(self.open_img)
+        self.ui.comboBox.activated.connect(self.combox_change)
+        self.ui.VideoBtn.clicked.connect(self.vedio_show)
+        self.ui.CapBtn.clicked.connect(self.camera_show)
+        self.ui.SaveBtn.clicked.connect(self.save_detect_video)
+        self.ui.ExitBtn.clicked.connect(QCoreApplication.quit)
+        self.ui.FilesBtn.clicked.connect(self.detact_batch_imgs)
+
+    def initMain(self):
+        self.show_width = 770
+        self.show_height = 480
+
+        self.org_path = None
+
+        self.is_camera_open = False
+        self.cap = None
+
+        # self.device = 0 if torch.cuda.is_available() else 'cpu'
+
+        # 加载检测模型
+        self.model = YOLO(Config.model_path, task='detect')
+        self.model(np.zeros((48, 48, 3)))  #预先加载推理模型
+        self.fontC = ImageFont.truetype("Font/platech.ttf", 25, 0)
+
+        # 用于绘制不同颜色矩形框
+        self.colors = tools.Colors()
+
+        # 更新视频图像
+        self.timer_camera = QTimer()
+
+        # 更新检测信息表格
+        # self.timer_info = QTimer()
+        # 保存视频
+        self.timer_save_video = QTimer()
+
+        # 表格
+        self.ui.tableWidget.verticalHeader().setSectionResizeMode(QHeaderView.Fixed)
+        self.ui.tableWidget.verticalHeader().setDefaultSectionSize(40)
+        self.ui.tableWidget.setColumnWidth(0, 80)  # 设置列宽
+        self.ui.tableWidget.setColumnWidth(1, 200)
+        self.ui.tableWidget.setColumnWidth(2, 150)
+        self.ui.tableWidget.setColumnWidth(3, 90)
+        self.ui.tableWidget.setColumnWidth(4, 230)
+        self.ui.tableWidget.setSelectionBehavior(QAbstractItemView.SelectRows)  # 设置表格整行选中
+        self.ui.tableWidget.verticalHeader().setVisible(False)  # 隐藏列标题
+        self.ui.tableWidget.setAlternatingRowColors(True)  # 表格背景交替
+
+
+    def open_img(self):
+        if self.cap:
+            # 打开图片前关闭摄像头
+            self.video_stop()
+            self.is_camera_open = False
+            self.ui.CaplineEdit.setText('摄像头未开启')
+            self.cap = None
+
+        # 弹出的窗口名称：'打开图片'
+        # 默认打开的目录：'./'
+        # 只能打开.jpg与.gif结尾的图片文件
+        # file_path, _ = QFileDialog.getOpenFileName(self.ui.centralwidget, '打开图片', './', "Image files (*.jpg *.gif)")
+        file_path, _ = QFileDialog.getOpenFileName(None, '打开图片', './', "Image files (*.jpg *.jepg *.png)")
+        if not file_path:
+            return
+
+        self.ui.comboBox.setDisabled(False)
+        self.org_path = file_path
+        self.org_img = tools.img_cvread(self.org_path)
+
+        # 目标检测
+        t1 = time.time()
+        self.results = self.model(self.org_path)[0]
+        t2 = time.time()
+        take_time_str = '{:.3f} s'.format(t2 - t1)
+        self.ui.time_lb.setText(take_time_str)
+
+        location_list = self.results.boxes.xyxy.tolist()
+        self.location_list = [list(map(int, e)) for e in location_list]
+        cls_list = self.results.boxes.cls.tolist()
+        self.cls_list = [int(i) for i in cls_list]
+        self.conf_list = self.results.boxes.conf.tolist()
+        self.conf_list = ['%.2f %%' % (each*100) for each in self.conf_list]
+
+        # now_img = self.cv_img.copy()
+        # for loacation, type_id, conf in zip(self.location_list, self.cls_list, self.conf_list):
+        #     type_id = int(type_id)
+        #     color = self.colors(int(type_id), True)
+        #     # cv2.rectangle(now_img, (int(x1), int(y1)), (int(x2), int(y2)), colors(int(type_id), True), 3)
+        #     now_img = tools.drawRectBox(now_img, loacation, Config.CH_names[type_id], self.fontC, color)
+        now_img = self.results.plot()
+        self.draw_img = now_img
+        # 获取缩放后的图片尺寸
+        self.img_width, self.img_height = self.get_resize_size(now_img)
+        resize_cvimg = cv2.resize(now_img,(self.img_width, self.img_height))
+        pix_img = tools.cvimg_to_qpiximg(resize_cvimg)
+        self.ui.label_show.setPixmap(pix_img)
+        self.ui.label_show.setAlignment(Qt.AlignCenter)
+        # 设置路径显示
+        self.ui.PiclineEdit.setText(self.org_path)
+
+        # 目标数目
+        target_nums = len(self.cls_list)
+        self.ui.label_nums.setText(str(target_nums))
+
+        # 设置目标选择下拉框
+        choose_list = ['全部']
+        target_names = [Config.names[id]+ '_'+ str(index) for index,id in enumerate(self.cls_list)]
+        # object_list = sorted(set(self.cls_list))
+        # for each in object_list:
+        #     choose_list.append(Config.CH_names[each])
+        choose_list = choose_list + target_names
+
+        self.ui.comboBox.clear()
+        self.ui.comboBox.addItems(choose_list)
+
+        if target_nums >= 1:
+            self.ui.type_lb.setText(Config.CH_names[self.cls_list[0]])
+            self.ui.label_conf.setText(str(self.conf_list[0]))
+        #   默认显示第一个目标框坐标
+        #   设置坐标位置值
+            self.ui.label_xmin.setText(str(self.location_list[0][0]))
+            self.ui.label_ymin.setText(str(self.location_list[0][1]))
+            self.ui.label_xmax.setText(str(self.location_list[0][2]))
+            self.ui.label_ymax.setText(str(self.location_list[0][3]))
+        else:
+            self.ui.type_lb.setText('')
+            self.ui.label_conf.setText('')
+            self.ui.label_xmin.setText('')
+            self.ui.label_ymin.setText('')
+            self.ui.label_xmax.setText('')
+            self.ui.label_ymax.setText('')
+
+        # # 删除表格所有行
+        self.ui.tableWidget.setRowCount(0)
+        self.ui.tableWidget.clearContents()
+        self.tabel_info_show(self.location_list, self.cls_list, self.conf_list,path=self.org_path)
+
+
+    def detact_batch_imgs(self):
+        if self.cap:
+            # 打开图片前关闭摄像头
+            self.video_stop()
+            self.is_camera_open = False
+            self.ui.CaplineEdit.setText('摄像头未开启')
+            self.cap = None
+        directory = QFileDialog.getExistingDirectory(self,
+                                                      "选取文件夹",
+                                                      "./")  # 起始路径
+        if not  directory:
+            return
+        self.org_path = directory
+        img_suffix = ['jpg','png','jpeg','bmp']
+        for file_name in os.listdir(directory):
+            full_path = os.path.join(directory,file_name)
+            if os.path.isfile(full_path) and file_name.split('.')[-1].lower() in img_suffix:
+                # self.ui.comboBox.setDisabled(False)
+                img_path = full_path
+                self.org_img = tools.img_cvread(img_path)
+                # 目标检测
+                t1 = time.time()
+                self.results = self.model(img_path)[0]
+                t2 = time.time()
+                take_time_str = '{:.3f} s'.format(t2 - t1)
+                self.ui.time_lb.setText(take_time_str)
+
+                location_list = self.results.boxes.xyxy.tolist()
+                self.location_list = [list(map(int, e)) for e in location_list]
+                cls_list = self.results.boxes.cls.tolist()
+                self.cls_list = [int(i) for i in cls_list]
+                self.conf_list = self.results.boxes.conf.tolist()
+                self.conf_list = ['%.2f %%' % (each * 100) for each in self.conf_list]
+
+                now_img = self.results.plot()
+
+                self.draw_img = now_img
+                # 获取缩放后的图片尺寸
+                self.img_width, self.img_height = self.get_resize_size(now_img)
+                resize_cvimg = cv2.resize(now_img, (self.img_width, self.img_height))
+                pix_img = tools.cvimg_to_qpiximg(resize_cvimg)
+                self.ui.label_show.setPixmap(pix_img)
+                self.ui.label_show.setAlignment(Qt.AlignCenter)
+                # 设置路径显示
+                self.ui.PiclineEdit.setText(img_path)
+
+                # 目标数目
+                target_nums = len(self.cls_list)
+                self.ui.label_nums.setText(str(target_nums))
+
+                # 设置目标选择下拉框
+                choose_list = ['全部']
+                target_names = [Config.names[id] + '_' + str(index) for index, id in enumerate(self.cls_list)]
+                choose_list = choose_list + target_names
+
+                self.ui.comboBox.clear()
+                self.ui.comboBox.addItems(choose_list)
+
+                if target_nums >= 1:
+                    self.ui.type_lb.setText(Config.CH_names[self.cls_list[0]])
+                    self.ui.label_conf.setText(str(self.conf_list[0]))
+                    #   默认显示第一个目标框坐标
+                    #   设置坐标位置值
+                    self.ui.label_xmin.setText(str(self.location_list[0][0]))
+                    self.ui.label_ymin.setText(str(self.location_list[0][1]))
+                    self.ui.label_xmax.setText(str(self.location_list[0][2]))
+                    self.ui.label_ymax.setText(str(self.location_list[0][3]))
+                else:
+                    self.ui.type_lb.setText('')
+                    self.ui.label_conf.setText('')
+                    self.ui.label_xmin.setText('')
+                    self.ui.label_ymin.setText('')
+                    self.ui.label_xmax.setText('')
+                    self.ui.label_ymax.setText('')
+
+                # # 删除表格所有行
+                # self.ui.tableWidget.setRowCount(0)
+                # self.ui.tableWidget.clearContents()
+                self.tabel_info_show(self.location_list, self.cls_list, self.conf_list, path=img_path)
+                self.ui.tableWidget.scrollToBottom()
+                QApplication.processEvents()  #刷新页面
+
+    def draw_rect_and_tabel(self, results, img):
+        now_img = img.copy()
+        location_list = results.boxes.xyxy.tolist()
+        self.location_list = [list(map(int, e)) for e in location_list]
+        cls_list = results.boxes.cls.tolist()
+        self.cls_list = [int(i) for i in cls_list]
+        self.conf_list = results.boxes.conf.tolist()
+        self.conf_list = ['%.2f %%' % (each * 100) for each in self.conf_list]
+
+        for loacation, type_id, conf in zip(self.location_list, self.cls_list, self.conf_list):
+            type_id = int(type_id)
+            color = self.colors(int(type_id), True)
+            # cv2.rectangle(now_img, (int(x1), int(y1)), (int(x2), int(y2)), colors(int(type_id), True), 3)
+            now_img = tools.drawRectBox(now_img, loacation, Config.CH_names[type_id], self.fontC, color)
+
+        # 获取缩放后的图片尺寸
+        self.img_width, self.img_height = self.get_resize_size(now_img)
+        resize_cvimg = cv2.resize(now_img, (self.img_width, self.img_height))
+        pix_img = tools.cvimg_to_qpiximg(resize_cvimg)
+        self.ui.label_show.setPixmap(pix_img)
+        self.ui.label_show.setAlignment(Qt.AlignCenter)
+        # 设置路径显示
+        self.ui.PiclineEdit.setText(self.org_path)
+
+        # 目标数目
+        target_nums = len(self.cls_list)
+        self.ui.label_nums.setText(str(target_nums))
+        if target_nums >= 1:
+            self.ui.type_lb.setText(Config.CH_names[self.cls_list[0]])
+            self.ui.label_conf.setText(str(self.conf_list[0]))
+            self.ui.label_xmin.setText(str(self.location_list[0][0]))
+            self.ui.label_ymin.setText(str(self.location_list[0][1]))
+            self.ui.label_xmax.setText(str(self.location_list[0][2]))
+            self.ui.label_ymax.setText(str(self.location_list[0][3]))
+        else:
+            self.ui.type_lb.setText('')
+            self.ui.label_conf.setText('')
+            self.ui.label_xmin.setText('')
+            self.ui.label_ymin.setText('')
+            self.ui.label_xmax.setText('')
+            self.ui.label_ymax.setText('')
+
+        # 删除表格所有行
+        self.ui.tableWidget.setRowCount(0)
+        self.ui.tableWidget.clearContents()
+        self.tabel_info_show(self.location_list, self.cls_list, self.conf_list, path=self.org_path)
+        return now_img
+
+    def combox_change(self):
+        com_text = self.ui.comboBox.currentText()
+        if com_text == '全部':
+            cur_box = self.location_list
+            cur_img = self.results.plot()
+            self.ui.type_lb.setText(Config.CH_names[self.cls_list[0]])
+            self.ui.label_conf.setText(str(self.conf_list[0]))
+        else:
+            index = int(com_text.split('_')[-1])
+            cur_box = [self.location_list[index]]
+            cur_img = self.results[index].plot()
+            self.ui.type_lb.setText(Config.CH_names[self.cls_list[index]])
+            self.ui.label_conf.setText(str(self.conf_list[index]))
+
+        # 设置坐标位置值
+        self.ui.label_xmin.setText(str(cur_box[0][0]))
+        self.ui.label_ymin.setText(str(cur_box[0][1]))
+        self.ui.label_xmax.setText(str(cur_box[0][2]))
+        self.ui.label_ymax.setText(str(cur_box[0][3]))
+
+        resize_cvimg = cv2.resize(cur_img, (self.img_width, self.img_height))
+        pix_img = tools.cvimg_to_qpiximg(resize_cvimg)
+        self.ui.label_show.clear()
+        self.ui.label_show.setPixmap(pix_img)
+        self.ui.label_show.setAlignment(Qt.AlignCenter)
+
+
+    def get_video_path(self):
+        file_path, _ = QFileDialog.getOpenFileName(None, '打开视频', './', "Image files (*.avi *.mp4 *.jepg *.png)")
+        if not file_path:
+            return None
+        self.org_path = file_path
+        self.ui.VideolineEdit.setText(file_path)
+        return file_path
+
+    def video_start(self):
+        # 删除表格所有行
+        self.ui.tableWidget.setRowCount(0)
+        self.ui.tableWidget.clearContents()
+
+        # 清空下拉框
+        self.ui.comboBox.clear()
+
+        # 定时器开启，每隔一段时间，读取一帧
+        self.timer_camera.start(1)
+        self.timer_camera.timeout.connect(self.open_frame)
+
+    def tabel_info_show(self, locations, clses, confs, path=None):
+        path = path
+        for location, cls, conf in zip(locations, clses, confs):
+            row_count = self.ui.tableWidget.rowCount()  # 返回当前行数(尾部)
+            self.ui.tableWidget.insertRow(row_count)  # 尾部插入一行
+            item_id = QTableWidgetItem(str(row_count+1))  # 序号
+            item_id.setTextAlignment(Qt.AlignHCenter | Qt.AlignVCenter)  # 设置文本居中
+            item_path = QTableWidgetItem(str(path))  # 路径
+            # item_path.setTextAlignment(Qt.AlignHCenter | Qt.AlignVCenter)
+
+            item_cls = QTableWidgetItem(str(Config.CH_names[cls]))
+            item_cls.setTextAlignment(Qt.AlignHCenter | Qt.AlignVCenter)  # 设置文本居中
+
+            item_conf = QTableWidgetItem(str(conf))
+            item_conf.setTextAlignment(Qt.AlignHCenter | Qt.AlignVCenter)  # 设置文本居中
+
+            item_location = QTableWidgetItem(str(location)) # 目标框位置
+            # item_location.setTextAlignment(Qt.AlignHCenter | Qt.AlignVCenter)  # 设置文本居中
+
+            self.ui.tableWidget.setItem(row_count, 0, item_id)
+            self.ui.tableWidget.setItem(row_count, 1, item_path)
+            self.ui.tableWidget.setItem(row_count, 2, item_cls)
+            self.ui.tableWidget.setItem(row_count, 3, item_conf)
+            self.ui.tableWidget.setItem(row_count, 4, item_location)
+        self.ui.tableWidget.scrollToBottom()
+
+    def video_stop(self):
+        self.cap.release()
+        self.timer_camera.stop()
+        # self.timer_info.stop()
+
+    def open_frame(self):
+        ret, now_img = self.cap.read()
+        if ret:
+            # 目标检测
+            t1 = time.time()
+            results = self.model(now_img)[0]
+            t2 = time.time()
+            take_time_str = '{:.3f} s'.format(t2 - t1)
+            self.ui.time_lb.setText(take_time_str)
+
+            location_list = results.boxes.xyxy.tolist()
+            self.location_list = [list(map(int, e)) for e in location_list]
+            cls_list = results.boxes.cls.tolist()
+            self.cls_list = [int(i) for i in cls_list]
+            self.conf_list = results.boxes.conf.tolist()
+            self.conf_list = ['%.2f %%' % (each * 100) for each in self.conf_list]
+
+            now_img = results.plot()
+
+            # 获取缩放后的图片尺寸
+            self.img_width, self.img_height = self.get_resize_size(now_img)
+            resize_cvimg = cv2.resize(now_img, (self.img_width, self.img_height))
+            pix_img = tools.cvimg_to_qpiximg(resize_cvimg)
+            self.ui.label_show.setPixmap(pix_img)
+            self.ui.label_show.setAlignment(Qt.AlignCenter)
+
+            # 目标数目
+            target_nums = len(self.cls_list)
+            self.ui.label_nums.setText(str(target_nums))
+
+            # 设置目标选择下拉框
+            choose_list = ['全部']
+            target_names = [Config.names[id] + '_' + str(index) for index, id in enumerate(self.cls_list)]
+            # object_list = sorted(set(self.cls_list))
+            # for each in object_list:
+            #     choose_list.append(Config.CH_names[each])
+            choose_list = choose_list + target_names
+
+            self.ui.comboBox.clear()
+            self.ui.comboBox.addItems(choose_list)
+
+            if target_nums >= 1:
+                self.ui.type_lb.setText(Config.CH_names[self.cls_list[0]])
+                self.ui.label_conf.setText(str(self.conf_list[0]))
+                #   默认显示第一个目标框坐标
+                #   设置坐标位置值
+                self.ui.label_xmin.setText(str(self.location_list[0][0]))
+                self.ui.label_ymin.setText(str(self.location_list[0][1]))
+                self.ui.label_xmax.setText(str(self.location_list[0][2]))
+                self.ui.label_ymax.setText(str(self.location_list[0][3]))
+            else:
+                self.ui.type_lb.setText('')
+                self.ui.label_conf.setText('')
+                self.ui.label_xmin.setText('')
+                self.ui.label_ymin.setText('')
+                self.ui.label_xmax.setText('')
+                self.ui.label_ymax.setText('')
+
+
+            # 删除表格所有行
+            # self.ui.tableWidget.setRowCount(0)
+            # self.ui.tableWidget.clearContents()
+            self.tabel_info_show(self.location_list, self.cls_list, self.conf_list, path=self.org_path)
+
+        else:
+            self.cap.release()
+            self.timer_camera.stop()
+
+    def vedio_show(self):
+        if self.is_camera_open:
+            self.is_camera_open = False
+            self.ui.CaplineEdit.setText('摄像头未开启')
+
+        video_path = self.get_video_path()
+        if not video_path:
+            return None
+        self.cap = cv2.VideoCapture(video_path)
+        self.video_start()
+        self.ui.comboBox.setDisabled(True)
+
+    def camera_show(self):
+        self.is_camera_open = not self.is_camera_open
+        if self.is_camera_open:
+            self.ui.CaplineEdit.setText('摄像头开启')
+            self.cap = cv2.VideoCapture(0)
+            self.video_start()
+            self.ui.comboBox.setDisabled(True)
+        else:
+            self.ui.CaplineEdit.setText('摄像头未开启')
+            self.ui.label_show.setText('')
+            if self.cap:
+                self.cap.release()
+                cv2.destroyAllWindows()
+            self.ui.label_show.clear()
+
+    def get_resize_size(self, img):
+        _img = img.copy()
+        img_height, img_width , depth= _img.shape
+        ratio = img_width / img_height
+        if ratio >= self.show_width / self.show_height:
+            self.img_width = self.show_width
+            self.img_height = int(self.img_width / ratio)
+        else:
+            self.img_height = self.show_height
+            self.img_width = int(self.img_height * ratio)
+        return self.img_width, self.img_height
+
+    def save_detect_video(self):
+        if self.cap is None and not self.org_path:
+            QMessageBox.about(self, '提示', '当前没有可保存信息，请先打开图片或视频！')
+            return
+
+        if self.is_camera_open:
+            QMessageBox.about(self, '提示', '摄像头视频无法保存!')
+            return
+
+        if self.cap:
+            res = QMessageBox.information(self, '提示', '保存视频检测结果可能需要较长时间，请确认是否继续保存？',QMessageBox.Yes | QMessageBox.No ,  QMessageBox.Yes)
+            if res == QMessageBox.Yes:
+                self.video_stop()
+                com_text = self.ui.comboBox.currentText()
+                self.btn2Thread_object = btn2Thread(self.org_path, self.model, com_text)
+                self.btn2Thread_object.start()
+                self.btn2Thread_object.update_ui_signal.connect(self.update_process_bar)
+            else:
+                return
+        else:
+            if os.path.isfile(self.org_path):
+                fileName = os.path.basename(self.org_path)
+                name , end_name= fileName.rsplit(".",1)
+                save_name = name + '_detect_result.' + end_name
+                save_img_path = os.path.join(Config.save_path, save_name)
+                # 保存图片
+                cv2.imwrite(save_img_path, self.draw_img)
+                QMessageBox.about(self, '提示', '图片保存成功!\n文件路径:{}'.format(save_img_path))
+            else:
+                img_suffix = ['jpg', 'png', 'jpeg', 'bmp']
+                for file_name in os.listdir(self.org_path):
+                    full_path = os.path.join(self.org_path, file_name)
+                    if os.path.isfile(full_path) and file_name.split('.')[-1].lower() in img_suffix:
+                        name, end_name = file_name.rsplit(".",1)
+                        save_name = name + '_detect_result.' + end_name
+                        save_img_path = os.path.join(Config.save_path, save_name)
+                        results = self.model(full_path)[0]
+                        now_img = results.plot()
+                        # 保存图片
+                        cv2.imwrite(save_img_path, now_img)
+
+                QMessageBox.about(self, '提示', '图片保存成功!\n文件路径:{}'.format(Config.save_path))
+
+
+    def update_process_bar(self,cur_num, total):
+        if cur_num == 1:
+            self.progress_bar = ProgressBar(self)
+            self.progress_bar.show()
+        if cur_num >= total:
+            self.progress_bar.close()
+            QMessageBox.about(self, '提示', '视频保存成功!\n文件在{}目录下'.format(Config.save_path))
+            return
+        if self.progress_bar.isVisible() is False:
+            # 点击取消保存时，终止进程
+            self.btn2Thread_object.stop()
+            return
+        value = int(cur_num / total *100)
+        self.progress_bar.setValue(cur_num, total, value)
+        QApplication.processEvents()
+
+
+class btn2Thread(QThread):
+    """
+    进行检测后的视频保存
+    """
+    # 声明一个信号
+    update_ui_signal = pyqtSignal(int,int)
+
+    def __init__(self, path, model, com_text):
+        super(btn2Thread, self).__init__()
+        self.org_path = path
+        self.model = model
+        self.com_text = com_text
+        # 用于绘制不同颜色矩形框
+        self.colors = tools.Colors()
+        self.is_running = True  # 标志位，表示线程是否正在运行
+
+    def run(self):
+        # VideoCapture方法是cv2库提供的读取视频方法
+        cap = cv2.VideoCapture(self.org_path)
+        # 设置需要保存视频的格式“xvid”
+        # 该参数是MPEG-4编码类型，文件名后缀为.avi
+        fourcc = cv2.VideoWriter_fourcc(*'XVID')
+        # 设置视频帧频
+        fps = cap.get(cv2.CAP_PROP_FPS)
+        # 设置视频大小
+        size = (int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)), int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)))
+        # VideoWriter方法是cv2库提供的保存视频方法
+        # 按照设置的格式来out输出
+        fileName = os.path.basename(self.org_path)
+        name, end_name = fileName.split('.')
+        save_name = name + '_detect_result.avi'
+        save_video_path = os.path.join(Config.save_path, save_name)
+        out = cv2.VideoWriter(save_video_path, fourcc, fps, size)
+
+        prop = cv2.CAP_PROP_FRAME_COUNT
+        total = int(cap.get(prop))
+        print("[INFO] 视频总帧数：{}".format(total))
+        cur_num = 0
+
+        # 确定视频打开并循环读取
+        while (cap.isOpened() and self.is_running):
+            cur_num += 1
+            print('当前第{}帧，总帧数{}'.format(cur_num, total))
+            # 逐帧读取，ret返回布尔值
+            # 参数ret为True 或者False,代表有没有读取到图片
+            # frame表示截取到一帧的图片
+            ret, frame = cap.read()
+            if ret == True:
+                # 检测
+                results = self.model(frame)[0]
+                frame = results.plot()
+                out.write(frame)
+                self.update_ui_signal.emit(cur_num, total)
+            else:
+                break
+        # 释放资源
+        cap.release()
+        out.release()
+
+    def stop(self):
+        self.is_running = False
+
+
+if __name__ == "__main__":
+    app = QApplication(sys.argv)
+    win = MainWindow()
+    win.show()
+    sys.exit(app.exec_())

src/YOLOv8face1/UIProgram/QssLoader.py

@@ -0,0 +1,8 @@
+class QSSLoader:
+    def __init__(self):
+        pass
+
+    @staticmethod
+    def read_qss_file(qss_file_name):
+        with open(qss_file_name, 'r',  encoding='UTF-8') as file:
+            return file.read()

src/YOLOv8face1/UIProgram/UiMain.py

@@ -0,0 +1,519 @@
+# -*- coding: utf-8 -*-
+
+# Form implementation generated from reading ui file 'UiMain.ui'
+#
+# Created by: PyQt5 UI code generator 5.15.9
+#
+# WARNING: Any manual changes made to this file will be lost when pyuic5 is
+# run again.  Do not edit this file unless you know what you are doing.
+
+
+from PyQt5 import QtCore, QtGui, QtWidgets
+
+
+class Ui_MainWindow(object):
+    def setupUi(self, MainWindow):
+        MainWindow.setObjectName("MainWindow")
+        MainWindow.resize(1250, 830)
+        MainWindow.setMinimumSize(QtCore.QSize(1250, 830))
+        MainWindow.setMaximumSize(QtCore.QSize(1250, 830))
+        icon = QtGui.QIcon()
+        icon.addPixmap(QtGui.QPixmap("C:/Users/pc/Desktop/YOLOv8face/UIProgram/ui_imgs/icons/目标检测.png"), QtGui.QIcon.Normal, QtGui.QIcon.Off)
+        MainWindow.setWindowIcon(icon)
+        self.centralwidget = QtWidgets.QWidget(MainWindow)
+        self.centralwidget.setObjectName("centralwidget")
+        self.frame = QtWidgets.QFrame(self.centralwidget)
+        self.frame.setGeometry(QtCore.QRect(10, 100, 791, 711))
+        self.frame.setFrameShape(QtWidgets.QFrame.StyledPanel)
+        self.frame.setFrameShadow(QtWidgets.QFrame.Raised)
+        self.frame.setObjectName("frame")
+        self.frame_2 = QtWidgets.QFrame(self.frame)
+        self.frame_2.setGeometry(QtCore.QRect(10, 0, 771, 481))
+        self.frame_2.setFrameShape(QtWidgets.QFrame.StyledPanel)
+        self.frame_2.setFrameShadow(QtWidgets.QFrame.Raised)
+        self.frame_2.setObjectName("frame_2")
+        self.label_show = QtWidgets.QLabel(self.frame_2)
+        self.label_show.setGeometry(QtCore.QRect(0, 0, 770, 480))
+        self.label_show.setMinimumSize(QtCore.QSize(770, 480))
+        self.label_show.setMaximumSize(QtCore.QSize(770, 480))
+        self.label_show.setStyleSheet("border-image: url(C:/Users/pc/Desktop/YOLOv8face/UIProgram/ui_imgs/icons/face.png);")
+        self.label_show.setText("")
+        self.label_show.setObjectName("label_show")
+        self.frame_3 = QtWidgets.QFrame(self.frame)
+        self.frame_3.setGeometry(QtCore.QRect(10, 480, 771, 221))
+        self.frame_3.setFrameShape(QtWidgets.QFrame.StyledPanel)
+        self.frame_3.setFrameShadow(QtWidgets.QFrame.Raised)
+        self.frame_3.setObjectName("frame_3")
+        self.groupBox_3 = QtWidgets.QGroupBox(self.frame_3)
+        self.groupBox_3.setGeometry(QtCore.QRect(0, 10, 771, 221))
+        font = QtGui.QFont()
+        font.setFamily("华文楷体")
+        font.setPointSize(16)
+        self.groupBox_3.setFont(font)
+        self.groupBox_3.setObjectName("groupBox_3")
+        self.tableWidget = QtWidgets.QTableWidget(self.groupBox_3)
+        self.tableWidget.setGeometry(QtCore.QRect(10, 30, 751, 181))
+        font = QtGui.QFont()
+        font.setFamily("华文楷体")
+        font.setPointSize(14)
+        self.tableWidget.setFont(font)
+        self.tableWidget.setObjectName("tableWidget")
+        self.tableWidget.setColumnCount(5)
+        self.tableWidget.setRowCount(0)
+        item = QtWidgets.QTableWidgetItem()
+        self.tableWidget.setHorizontalHeaderItem(0, item)
+        item = QtWidgets.QTableWidgetItem()
+        self.tableWidget.setHorizontalHeaderItem(1, item)
+        item = QtWidgets.QTableWidgetItem()
+        self.tableWidget.setHorizontalHeaderItem(2, item)
+        item = QtWidgets.QTableWidgetItem()
+        self.tableWidget.setHorizontalHeaderItem(3, item)
+        item = QtWidgets.QTableWidgetItem()
+        self.tableWidget.setHorizontalHeaderItem(4, item)
+        self.frame_4 = QtWidgets.QFrame(self.centralwidget)
+        self.frame_4.setGeometry(QtCore.QRect(810, 100, 431, 711))
+        self.frame_4.setFrameShape(QtWidgets.QFrame.StyledPanel)
+        self.frame_4.setFrameShadow(QtWidgets.QFrame.Raised)
+        self.frame_4.setObjectName("frame_4")
+        self.groupBox = QtWidgets.QGroupBox(self.frame_4)
+        self.groupBox.setGeometry(QtCore.QRect(0, 0, 431, 171))
+        font = QtGui.QFont()
+        font.setFamily("华文楷体")
+        font.setPointSize(16)
+        self.groupBox.setFont(font)
+        self.groupBox.setObjectName("groupBox")
+        self.PiclineEdit = QtWidgets.QLineEdit(self.groupBox)
+        self.PiclineEdit.setGeometry(QtCore.QRect(70, 40, 311, 31))
+        self.PiclineEdit.setInputMask("")
+        self.PiclineEdit.setObjectName("PiclineEdit")
+        self.VideolineEdit = QtWidgets.QLineEdit(self.groupBox)
+        self.VideolineEdit.setGeometry(QtCore.QRect(70, 80, 311, 31))
+        self.VideolineEdit.setObjectName("VideolineEdit")
+        self.CapBtn = QtWidgets.QPushButton(self.groupBox)
+        self.CapBtn.setGeometry(QtCore.QRect(30, 120, 30, 30))
+        self.CapBtn.setStyleSheet("border-image: url(C:/Users/pc/Desktop/YOLOv8face/UIProgram/ui_imgs/icons/camera.png);")
+        self.CapBtn.setText("")
+        self.CapBtn.setObjectName("CapBtn")
+        self.PicBtn = QtWidgets.QPushButton(self.groupBox)
+        self.PicBtn.setGeometry(QtCore.QRect(30, 40, 30, 30))
+        self.PicBtn.setStyleSheet("border-image: url(C:/Users/pc/Desktop/YOLOv8face/UIProgram/ui_imgs/icons/img.png);")
+        self.PicBtn.setText("")
+        self.PicBtn.setObjectName("PicBtn")
+        self.VideoBtn = QtWidgets.QPushButton(self.groupBox)
+        self.VideoBtn.setGeometry(QtCore.QRect(30, 80, 30, 30))
+        self.VideoBtn.setStyleSheet("border-image: url(C:/Users/pc/Desktop/YOLOv8face/UIProgram/ui_imgs/icons/video.png);")
+        self.VideoBtn.setText("")
+        self.VideoBtn.setObjectName("VideoBtn")
+        self.CaplineEdit = QtWidgets.QLineEdit(self.groupBox)
+        self.CaplineEdit.setGeometry(QtCore.QRect(70, 120, 311, 31))
+        self.CaplineEdit.setObjectName("CaplineEdit")
+        self.FilesBtn = QtWidgets.QPushButton(self.groupBox)
+        self.FilesBtn.setGeometry(QtCore.QRect(390, 40, 30, 30))
+        self.FilesBtn.setStyleSheet("border-image: url(C:/Users/pc/Desktop/YOLOv8face/UIProgram/ui_imgs/icons/folder.png);")
+        self.FilesBtn.setText("")
+        self.FilesBtn.setObjectName("FilesBtn")
+        self.groupBox_2 = QtWidgets.QGroupBox(self.frame_4)
+        self.groupBox_2.setGeometry(QtCore.QRect(0, 180, 431, 371))
+        font = QtGui.QFont()
+        font.setFamily("华文楷体")
+        font.setPointSize(16)
+        self.groupBox_2.setFont(font)
+        self.groupBox_2.setObjectName("groupBox_2")
+        self.frame_6 = QtWidgets.QFrame(self.groupBox_2)
+        self.frame_6.setGeometry(QtCore.QRect(0, 190, 431, 171))
+        self.frame_6.setFrameShape(QtWidgets.QFrame.StyledPanel)
+        self.frame_6.setFrameShadow(QtWidgets.QFrame.Raised)
+        self.frame_6.setObjectName("frame_6")
+        self.label_4 = QtWidgets.QLabel(self.frame_6)
+        self.label_4.setGeometry(QtCore.QRect(10, 10, 131, 41))
+        font = QtGui.QFont()
+        font.setFamily("华文楷体")
+        font.setPointSize(16)
+        self.label_4.setFont(font)
+        self.label_4.setStyleSheet("")
+        self.label_4.setObjectName("label_4")
+        self.layoutWidget = QtWidgets.QWidget(self.frame_6)
+        self.layoutWidget.setGeometry(QtCore.QRect(20, 60, 161, 37))
+        self.layoutWidget.setObjectName("layoutWidget")
+        self.horizontalLayout = QtWidgets.QHBoxLayout(self.layoutWidget)
+        self.horizontalLayout.setContentsMargins(0, 0, 0, 0)
+        self.horizontalLayout.setObjectName("horizontalLayout")
+        self.label_6 = QtWidgets.QLabel(self.layoutWidget)
+        font = QtGui.QFont()
+        font.setFamily("华文楷体")
+        font.setPointSize(16)
+        font.setBold(False)
+        font.setWeight(50)
+        self.label_6.setFont(font)
+        self.label_6.setObjectName("label_6")
+        self.horizontalLayout.addWidget(self.label_6)
+        self.label_xmin = QtWidgets.QLabel(self.layoutWidget)
+        palette = QtGui.QPalette()
+        brush = QtGui.QBrush(QtGui.QColor(255, 0, 0))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush)
+        brush = QtGui.QBrush(QtGui.QColor(255, 0, 0))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush)
+        brush = QtGui.QBrush(QtGui.QColor(120, 120, 120))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush)
+        self.label_xmin.setPalette(palette)
+        font = QtGui.QFont()
+        font.setFamily("Arial")
+        font.setPointSize(16)
+        font.setBold(True)
+        font.setWeight(75)
+        self.label_xmin.setFont(font)
+        self.label_xmin.setText("")
+        self.label_xmin.setObjectName("label_xmin")
+        self.horizontalLayout.addWidget(self.label_xmin)
+        self.layoutWidget1 = QtWidgets.QWidget(self.frame_6)
+        self.layoutWidget1.setGeometry(QtCore.QRect(210, 60, 161, 37))
+        self.layoutWidget1.setObjectName("layoutWidget1")
+        self.horizontalLayout_2 = QtWidgets.QHBoxLayout(self.layoutWidget1)
+        self.horizontalLayout_2.setContentsMargins(0, 0, 0, 0)
+        self.horizontalLayout_2.setObjectName("horizontalLayout_2")
+        self.label_8 = QtWidgets.QLabel(self.layoutWidget1)
+        self.label_8.setObjectName("label_8")
+        self.horizontalLayout_2.addWidget(self.label_8)
+        self.label_ymin = QtWidgets.QLabel(self.layoutWidget1)
+        palette = QtGui.QPalette()
+        brush = QtGui.QBrush(QtGui.QColor(255, 0, 0))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush)
+        brush = QtGui.QBrush(QtGui.QColor(255, 0, 0))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush)
+        brush = QtGui.QBrush(QtGui.QColor(120, 120, 120))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush)
+        self.label_ymin.setPalette(palette)
+        font = QtGui.QFont()
+        font.setFamily("Arial")
+        font.setPointSize(16)
+        font.setBold(True)
+        font.setWeight(75)
+        self.label_ymin.setFont(font)
+        self.label_ymin.setText("")
+        self.label_ymin.setObjectName("label_ymin")
+        self.horizontalLayout_2.addWidget(self.label_ymin)
+        self.layoutWidget2 = QtWidgets.QWidget(self.frame_6)
+        self.layoutWidget2.setGeometry(QtCore.QRect(20, 120, 161, 37))
+        self.layoutWidget2.setObjectName("layoutWidget2")
+        self.horizontalLayout_3 = QtWidgets.QHBoxLayout(self.layoutWidget2)
+        self.horizontalLayout_3.setContentsMargins(0, 0, 0, 0)
+        self.horizontalLayout_3.setObjectName("horizontalLayout_3")
+        self.label_7 = QtWidgets.QLabel(self.layoutWidget2)
+        self.label_7.setObjectName("label_7")
+        self.horizontalLayout_3.addWidget(self.label_7)
+        self.label_xmax = QtWidgets.QLabel(self.layoutWidget2)
+        palette = QtGui.QPalette()
+        brush = QtGui.QBrush(QtGui.QColor(255, 0, 0))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush)
+        brush = QtGui.QBrush(QtGui.QColor(255, 0, 0))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush)
+        brush = QtGui.QBrush(QtGui.QColor(120, 120, 120))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush)
+        self.label_xmax.setPalette(palette)
+        font = QtGui.QFont()
+        font.setFamily("Arial")
+        font.setPointSize(16)
+        font.setBold(True)
+        font.setWeight(75)
+        self.label_xmax.setFont(font)
+        self.label_xmax.setText("")
+        self.label_xmax.setObjectName("label_xmax")
+        self.horizontalLayout_3.addWidget(self.label_xmax)
+        self.layoutWidget3 = QtWidgets.QWidget(self.frame_6)
+        self.layoutWidget3.setGeometry(QtCore.QRect(210, 120, 161, 37))
+        self.layoutWidget3.setObjectName("layoutWidget3")
+        self.horizontalLayout_4 = QtWidgets.QHBoxLayout(self.layoutWidget3)
+        self.horizontalLayout_4.setContentsMargins(0, 0, 0, 0)
+        self.horizontalLayout_4.setObjectName("horizontalLayout_4")
+        self.label_9 = QtWidgets.QLabel(self.layoutWidget3)
+        self.label_9.setObjectName("label_9")
+        self.horizontalLayout_4.addWidget(self.label_9)
+        self.label_ymax = QtWidgets.QLabel(self.layoutWidget3)
+        palette = QtGui.QPalette()
+        brush = QtGui.QBrush(QtGui.QColor(255, 0, 0))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush)
+        brush = QtGui.QBrush(QtGui.QColor(255, 0, 0))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush)
+        brush = QtGui.QBrush(QtGui.QColor(120, 120, 120))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush)
+        self.label_ymax.setPalette(palette)
+        font = QtGui.QFont()
+        font.setFamily("Arial")
+        font.setPointSize(16)
+        font.setBold(True)
+        font.setWeight(75)
+        self.label_ymax.setFont(font)
+        self.label_ymax.setText("")
+        self.label_ymax.setObjectName("label_ymax")
+        self.horizontalLayout_4.addWidget(self.label_ymax)
+        self.layoutWidget4 = QtWidgets.QWidget(self.groupBox_2)
+        self.layoutWidget4.setGeometry(QtCore.QRect(208, 40, 211, 37))
+        self.layoutWidget4.setObjectName("layoutWidget4")
+        self.horizontalLayout_5 = QtWidgets.QHBoxLayout(self.layoutWidget4)
+        self.horizontalLayout_5.setContentsMargins(0, 0, 0, 0)
+        self.horizontalLayout_5.setObjectName("horizontalLayout_5")
+        self.label = QtWidgets.QLabel(self.layoutWidget4)
+        self.label.setObjectName("label")
+        self.horizontalLayout_5.addWidget(self.label)
+        self.label_nums = QtWidgets.QLabel(self.layoutWidget4)
+        palette = QtGui.QPalette()
+        brush = QtGui.QBrush(QtGui.QColor(255, 0, 0))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush)
+        brush = QtGui.QBrush(QtGui.QColor(0, 0, 0))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Text, brush)
+        brush = QtGui.QBrush(QtGui.QColor(255, 0, 0, 128))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.PlaceholderText, brush)
+        brush = QtGui.QBrush(QtGui.QColor(255, 0, 0))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush)
+        brush = QtGui.QBrush(QtGui.QColor(0, 0, 0))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Text, brush)
+        brush = QtGui.QBrush(QtGui.QColor(255, 0, 0, 128))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.PlaceholderText, brush)
+        brush = QtGui.QBrush(QtGui.QColor(120, 120, 120))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush)
+        brush = QtGui.QBrush(QtGui.QColor(120, 120, 120))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Text, brush)
+        brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 128))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.PlaceholderText, brush)
+        self.label_nums.setPalette(palette)
+        font = QtGui.QFont()
+        font.setFamily("Arial")
+        font.setPointSize(16)
+        font.setBold(True)
+        font.setWeight(75)
+        self.label_nums.setFont(font)
+        self.label_nums.setText("")
+        self.label_nums.setObjectName("label_nums")
+        self.horizontalLayout_5.addWidget(self.label_nums)
+        self.layoutWidget5 = QtWidgets.QWidget(self.groupBox_2)
+        self.layoutWidget5.setGeometry(QtCore.QRect(10, 90, 291, 38))
+        self.layoutWidget5.setObjectName("layoutWidget5")
+        self.horizontalLayout_6 = QtWidgets.QHBoxLayout(self.layoutWidget5)
+        self.horizontalLayout_6.setContentsMargins(0, 0, 0, 0)
+        self.horizontalLayout_6.setObjectName("horizontalLayout_6")
+        self.label_5 = QtWidgets.QLabel(self.layoutWidget5)
+        self.label_5.setObjectName("label_5")
+        self.horizontalLayout_6.addWidget(self.label_5)
+        self.comboBox = QtWidgets.QComboBox(self.layoutWidget5)
+        self.comboBox.setObjectName("comboBox")
+        self.horizontalLayout_6.addWidget(self.comboBox)
+        self.layoutWidget_2 = QtWidgets.QWidget(self.groupBox_2)
+        self.layoutWidget_2.setGeometry(QtCore.QRect(10, 40, 171, 37))
+        self.layoutWidget_2.setObjectName("layoutWidget_2")
+        self.horizontalLayout_7 = QtWidgets.QHBoxLayout(self.layoutWidget_2)
+        self.horizontalLayout_7.setContentsMargins(0, 0, 0, 0)
+        self.horizontalLayout_7.setObjectName("horizontalLayout_7")
+        self.label_10 = QtWidgets.QLabel(self.layoutWidget_2)
+        self.label_10.setObjectName("label_10")
+        self.horizontalLayout_7.addWidget(self.label_10)
+        self.time_lb = QtWidgets.QLabel(self.layoutWidget_2)
+        palette = QtGui.QPalette()
+        brush = QtGui.QBrush(QtGui.QColor(255, 0, 0))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush)
+        brush = QtGui.QBrush(QtGui.QColor(0, 0, 0))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.Text, brush)
+        brush = QtGui.QBrush(QtGui.QColor(255, 0, 0, 128))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.PlaceholderText, brush)
+        brush = QtGui.QBrush(QtGui.QColor(255, 0, 0))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush)
+        brush = QtGui.QBrush(QtGui.QColor(0, 0, 0))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.Text, brush)
+        brush = QtGui.QBrush(QtGui.QColor(255, 0, 0, 128))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.PlaceholderText, brush)
+        brush = QtGui.QBrush(QtGui.QColor(120, 120, 120))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush)
+        brush = QtGui.QBrush(QtGui.QColor(120, 120, 120))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.Text, brush)
+        brush = QtGui.QBrush(QtGui.QColor(0, 0, 0, 128))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.PlaceholderText, brush)
+        self.time_lb.setPalette(palette)
+        font = QtGui.QFont()
+        font.setFamily("Arial")
+        font.setPointSize(16)
+        font.setBold(True)
+        font.setWeight(75)
+        self.time_lb.setFont(font)
+        self.time_lb.setText("")
+        self.time_lb.setObjectName("time_lb")
+        self.horizontalLayout_7.addWidget(self.time_lb)
+        self.layoutWidget6 = QtWidgets.QWidget(self.groupBox_2)
+        self.layoutWidget6.setGeometry(QtCore.QRect(210, 140, 191, 41))
+        self.layoutWidget6.setObjectName("layoutWidget6")
+        self.horizontalLayout_8 = QtWidgets.QHBoxLayout(self.layoutWidget6)
+        self.horizontalLayout_8.setContentsMargins(0, 0, 0, 0)
+        self.horizontalLayout_8.setObjectName("horizontalLayout_8")
+        self.label_11 = QtWidgets.QLabel(self.layoutWidget6)
+        self.label_11.setObjectName("label_11")
+        self.horizontalLayout_8.addWidget(self.label_11)
+        self.label_conf = QtWidgets.QLabel(self.layoutWidget6)
+        palette = QtGui.QPalette()
+        brush = QtGui.QBrush(QtGui.QColor(255, 0, 0))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush)
+        brush = QtGui.QBrush(QtGui.QColor(255, 0, 0))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush)
+        brush = QtGui.QBrush(QtGui.QColor(120, 120, 120))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush)
+        self.label_conf.setPalette(palette)
+        font = QtGui.QFont()
+        font.setFamily("Arial")
+        font.setPointSize(16)
+        font.setBold(True)
+        font.setWeight(75)
+        self.label_conf.setFont(font)
+        self.label_conf.setText("")
+        self.label_conf.setObjectName("label_conf")
+        self.horizontalLayout_8.addWidget(self.label_conf)
+        self.layoutWidget_3 = QtWidgets.QWidget(self.groupBox_2)
+        self.layoutWidget_3.setGeometry(QtCore.QRect(10, 140, 191, 41))
+        self.layoutWidget_3.setObjectName("layoutWidget_3")
+        self.horizontalLayout_9 = QtWidgets.QHBoxLayout(self.layoutWidget_3)
+        self.horizontalLayout_9.setContentsMargins(0, 0, 0, 0)
+        self.horizontalLayout_9.setObjectName("horizontalLayout_9")
+        self.label_13 = QtWidgets.QLabel(self.layoutWidget_3)
+        self.label_13.setMaximumSize(QtCore.QSize(60, 16777215))
+        self.label_13.setObjectName("label_13")
+        self.horizontalLayout_9.addWidget(self.label_13)
+        self.type_lb = QtWidgets.QLabel(self.layoutWidget_3)
+        palette = QtGui.QPalette()
+        brush = QtGui.QBrush(QtGui.QColor(255, 0, 0))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Active, QtGui.QPalette.WindowText, brush)
+        brush = QtGui.QBrush(QtGui.QColor(255, 0, 0))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Inactive, QtGui.QPalette.WindowText, brush)
+        brush = QtGui.QBrush(QtGui.QColor(120, 120, 120))
+        brush.setStyle(QtCore.Qt.SolidPattern)
+        palette.setBrush(QtGui.QPalette.Disabled, QtGui.QPalette.WindowText, brush)
+        self.type_lb.setPalette(palette)
+        font = QtGui.QFont()
+        font.setFamily("Arial")
+        font.setPointSize(16)
+        font.setBold(True)
+        font.setWeight(75)
+        self.type_lb.setFont(font)
+        self.type_lb.setText("")
+        self.type_lb.setObjectName("type_lb")
+        self.horizontalLayout_9.addWidget(self.type_lb)
+        self.groupBox_4 = QtWidgets.QGroupBox(self.frame_4)
+        self.groupBox_4.setGeometry(QtCore.QRect(0, 560, 431, 141))
+        font = QtGui.QFont()
+        font.setFamily("华文楷体")
+        font.setPointSize(16)
+        self.groupBox_4.setFont(font)
+        self.groupBox_4.setObjectName("groupBox_4")
+        self.SaveBtn = QtWidgets.QPushButton(self.groupBox_4)
+        self.SaveBtn.setGeometry(QtCore.QRect(30, 50, 151, 51))
+        icon1 = QtGui.QIcon()
+        icon1.addPixmap(QtGui.QPixmap(":/icons/ui_imgs/icons/保存.png"), QtGui.QIcon.Normal, QtGui.QIcon.Off)
+        self.SaveBtn.setIcon(icon1)
+        self.SaveBtn.setIconSize(QtCore.QSize(30, 30))
+        self.SaveBtn.setObjectName("SaveBtn")
+        self.ExitBtn = QtWidgets.QPushButton(self.groupBox_4)
+        self.ExitBtn.setGeometry(QtCore.QRect(250, 50, 151, 51))
+        icon2 = QtGui.QIcon()
+        icon2.addPixmap(QtGui.QPixmap(":/icons/ui_imgs/icons/退出.png"), QtGui.QIcon.Normal, QtGui.QIcon.Off)
+        self.ExitBtn.setIcon(icon2)
+        self.ExitBtn.setIconSize(QtCore.QSize(30, 30))
+        self.ExitBtn.setObjectName("ExitBtn")
+        self.frame_5 = QtWidgets.QFrame(self.centralwidget)
+        self.frame_5.setGeometry(QtCore.QRect(10, 10, 1231, 91))
+        self.frame_5.setFrameShape(QtWidgets.QFrame.StyledPanel)
+        self.frame_5.setFrameShadow(QtWidgets.QFrame.Raised)
+        self.frame_5.setObjectName("frame_5")
+        self.label_3 = QtWidgets.QLabel(self.frame_5)
+        self.label_3.setGeometry(QtCore.QRect(240, 0, 811, 51))
+        font = QtGui.QFont()
+        font.setFamily("华文楷体")
+        font.setPointSize(30)
+        self.label_3.setFont(font)
+        self.label_3.setObjectName("label_3")
+        self.label_2 = QtWidgets.QLabel(self.frame_5)
+        self.label_2.setGeometry(QtCore.QRect(20, 60, 311, 21))
+        font = QtGui.QFont()
+        font.setFamily("华文楷体")
+        font.setPointSize(14)
+        font.setUnderline(True)
+        self.label_2.setFont(font)
+        self.label_2.setObjectName("label_2")
+        self.label_12 = QtWidgets.QLabel(self.frame_5)
+        self.label_12.setGeometry(QtCore.QRect(1070, 60, 131, 21))
+        font = QtGui.QFont()
+        font.setFamily("华文楷体")
+        font.setPointSize(14)
+        font.setUnderline(True)
+        self.label_12.setFont(font)
+        self.label_12.setObjectName("label_12")
+        MainWindow.setCentralWidget(self.centralwidget)
+        self.statusbar = QtWidgets.QStatusBar(MainWindow)
+        self.statusbar.setObjectName("statusbar")
+        MainWindow.setStatusBar(self.statusbar)
+
+        self.retranslateUi(MainWindow)
+        QtCore.QMetaObject.connectSlotsByName(MainWindow)
+
+    def retranslateUi(self, MainWindow):
+        _translate = QtCore.QCoreApplication.translate
+        MainWindow.setWindowTitle(_translate("MainWindow", "基于YOLOv8的目标检测系统"))
+        self.groupBox_3.setTitle(_translate("MainWindow", "检测结果与位置信息"))
+        item = self.tableWidget.horizontalHeaderItem(0)
+        item.setText(_translate("MainWindow", "序号"))
+        item = self.tableWidget.horizontalHeaderItem(1)
+        item.setText(_translate("MainWindow", "文件路径"))
+        item = self.tableWidget.horizontalHeaderItem(2)
+        item.setText(_translate("MainWindow", "类别"))
+        item = self.tableWidget.horizontalHeaderItem(3)
+        item.setText(_translate("MainWindow", "置信度"))
+        item = self.tableWidget.horizontalHeaderItem(4)
+        item.setText(_translate("MainWindow", "坐标位置"))
+        self.groupBox.setTitle(_translate("MainWindow", "文件导入"))
+        self.PiclineEdit.setPlaceholderText(_translate("MainWindow", "请选择图片文件"))
+        self.VideolineEdit.setPlaceholderText(_translate("MainWindow", "请选择视频文件"))
+        self.CaplineEdit.setPlaceholderText(_translate("MainWindow", "摄像头未开启"))
+        self.groupBox_2.setTitle(_translate("MainWindow", "检测结果"))
+        self.label_4.setText(_translate("MainWindow", "<html><head/><body><p><span style=\" font-weight:600;\">目标位置：</span></p></body></html>"))
+        self.label_6.setText(_translate("MainWindow", "<html><head/><body><p><span style=\" font-weight:600;\">xmin:</span></p></body></html>"))
+        self.label_8.setText(_translate("MainWindow", "<html><head/><body><p><span style=\" font-weight:600;\">ymin：</span></p></body></html>"))
+        self.label_7.setText(_translate("MainWindow", "<html><head/><body><p><span style=\" font-weight:600;\">xmax：</span></p></body></html>"))
+        self.label_9.setText(_translate("MainWindow", "<html><head/><body><p><span style=\" font-weight:600;\">ymax：</span></p></body></html>"))
+        self.label.setText(_translate("MainWindow", "<html><head/><body><p><span style=\" font-weight:600;\">目标数目：</span></p></body></html>"))
+        self.label_5.setText(_translate("MainWindow", "<html><head/><body><p><span style=\" font-weight:600;\">目标选择：</span></p></body></html>"))
+        self.label_10.setText(_translate("MainWindow", "<html><head/><body><p><span style=\" font-weight:600;\">用时：</span></p></body></html>"))
+        self.label_11.setText(_translate("MainWindow", "<html><head/><body><p><span style=\" font-weight:600;\">置信度：</span></p></body></html>"))
+        self.label_13.setText(_translate("MainWindow", "<html><head/><body><p><span style=\" font-weight:600;\">类型：</span></p></body></html>"))
+        self.groupBox_4.setTitle(_translate("MainWindow", "操作"))
+        self.SaveBtn.setText(_translate("MainWindow", "保存"))
+        self.ExitBtn.setText(_translate("MainWindow", "退出"))
+        self.label_3.setText(_translate("MainWindow", "基于YOLOv8的目标检测系统"))

src/YOLOv8face1/UIProgram/precess_bar.py

@@ -0,0 +1,47 @@
+# -*- coding: utf-8 -*-
+# 进度条
+from PyQt5.QtWidgets import QDialog, QLabel, QProgressBar, QPushButton, QVBoxLayout, QHBoxLayout
+
+
+class ProgressBar(QDialog):
+    def __init__(self, parent=None):
+        super(ProgressBar, self).__init__(parent)
+
+        self.resize(350, 100)
+        self.setWindowTitle(self.tr("视频保存进度信息"))
+
+        self.TipLabel = QLabel(self.tr("当前帧/总帧数:0/0"))
+        self.FeatLabel = QLabel(self.tr("保存进度:"))
+
+        self.FeatProgressBar = QProgressBar(self)
+        self.FeatProgressBar.setMinimum(0)
+        self.FeatProgressBar.setMaximum(100)  # 总进程换算为100
+        self.FeatProgressBar.setValue(0)  # 进度条初始值为0
+
+        TipLayout = QHBoxLayout()
+        TipLayout.addWidget(self.TipLabel)
+
+        FeatLayout = QHBoxLayout()
+        FeatLayout.addWidget(self.FeatLabel)
+        FeatLayout.addWidget(self.FeatProgressBar)
+
+        self.cancelButton = QPushButton('取消保存', self)
+
+        buttonlayout = QHBoxLayout()
+        buttonlayout.addStretch(1)
+        buttonlayout.addWidget(self.cancelButton)
+
+        layout = QVBoxLayout()
+        layout.addLayout(FeatLayout)
+        layout.addLayout(TipLayout)
+        layout.addLayout(buttonlayout)
+        self.setLayout(layout)
+        self.cancelButton.clicked.connect(self.onCancel)
+        # self.show()
+
+    def setValue(self, start, end, progress):
+        self.TipLabel.setText(self.tr("当前帧/总帧数:" + "   " + str(start) + "/" + str(end)))
+        self.FeatProgressBar.setValue(progress)
+
+    def onCancel(self, event):
+        self.close()

src/YOLOv8face1/UIProgram/style.css

@@ -0,0 +1,16 @@
+
+QGroupBox {
+    border: 2px solid gray;
+    }
+
+QPushButton#SaveBtn{color:black;
+            background-color:rgb(255, 130, 71);
+            border-radius:6px}
+QPushButton#ExitBtn{color:black;
+            background-color:rgb(255, 130, 71);
+            border-radius:6px}
+QPushButton:hover{color:red}
+QPushButton:pressed{background-color:rgb(180,180,180);border: None;}
+
+
+#MainWindow{border-image:url(UIProgram/ui_imgs/bg14.png)}

src/YOLOv8face1/UIProgram/ui_sources.py

@@ -0,0 +1,10 @@
+# -*- coding: utf-8 -*-
+
+# Form implementation generated from reading ui file 'ui_sources.qrc'
+#
+# Created by: PyQt5 UI code generator 5.15.9
+#
+# WARNING: Any manual changes made to this file will be lost when pyuic5 is
+# run again.  Do not edit this file unless you know what you are doing.
+
+

src/YOLOv8face1/UIProgram/ui_sources.qrc

@@ -0,0 +1,13 @@
+<RCC>
+  <qresource prefix="icons">
+    <file>ui_imgs/icons/目标检测.png</file>
+    <file>ui_imgs/icons/保存.png</file>
+    <file>ui_imgs/icons/退出.png</file>
+    <file>ui_imgs/huoyan.png</file>
+    <file>ui_imgs/icons/camera.png</file>
+    <file>ui_imgs/icons/folder.png</file>
+    <file>ui_imgs/icons/img.png</file>
+    <file>ui_imgs/icons/video.png</file>
+  </qresource>
+  <qresource prefix="bgs"/>
+</RCC>

src/YOLOv8face1/VideoTest.py

@@ -0,0 +1,37 @@
+#coding:utf-8
+import cv2
+from ultralytics import YOLO
+
+# 所需加载的模型目录
+path = 'models/best.pt'
+# 需要检测的图片地址
+video_path = "TestFiles/1.mp4"
+
+# Load the YOLOv8 model
+model = YOLO(path)
+cap = cv2.VideoCapture(video_path)
+# Loop through the video frames
+while cap.isOpened():
+    # Read a frame from the video
+    success, frame = cap.read()
+
+    if success:
+        # Run YOLOv8 inference on the frame
+        results = model(frame)
+
+        # Visualize the results on the frame
+        annotated_frame = results[0].plot()
+
+        # Display the annotated frame
+        cv2.imshow("YOLOv8 Inference", annotated_frame)
+
+        # Break the loop if 'q' is pressed
+        if cv2.waitKey(1) & 0xFF == ord("q"):
+            break
+    else:
+        # Break the loop if the end of the video is reached
+        break
+
+# Release the video capture object and close the display window
+cap.release()
+cv2.destroyAllWindows()

src/YOLOv8face1/datasets/count_size.py

@@ -0,0 +1,129 @@
+# 1、统计数据集中小、中、大 GT的个数
+# 2、统计某个类别小、中、大 GT的个数
+# 3、统计数据集中ss、sm、sl GT的个数
+import os
+from pathlib import Path
+import matplotlib.pyplot as plt
+
+# 设置中文字体为微软雅黑
+plt.rcParams['font.sans-serif'] = 'SimHei'
+
+
+def getGtAreaAndRatio(label_dir):
+    """
+    得到不同尺度的gt框个数
+    :params label_dir: label文件地址
+    :return data_dict: {dict: 3}  3 x {'类别':{’area':[...]}, {'ratio':[...]}}
+    """
+    data_dict = {}
+    assert Path(label_dir).is_dir(), "label_dir is not exist"
+
+    txts = os.listdir(label_dir)  # 得到label_dir目录下的所有txt GT文件
+
+    for txt in txts:  # 遍历每一个txt文件
+        with open(os.path.join(label_dir, txt), 'r') as f:  # 打开当前txt文件 并读取所有行的数据
+            lines = f.readlines()
+
+        for line in lines:  # 遍历当前txt文件中每一行的数据
+            temp = line.split()  # str to list{5}
+            coor_list = list(map(lambda x: x, temp[1:]))  # [x, y, w, h]
+            area = float(coor_list[2]) * float(coor_list[3])  # 计算出当前txt文件中每一个gt的面积
+            # center = (int(coor_list[0] + 0.5*coor_list[2]),
+            #           int(coor_list[1] + 0.5*coor_list[3]))
+            if float(coor_list[3])!=0:
+                ratio = round(float(coor_list[2]) / float(coor_list[3]), 2)  # 计算出当前txt文件中每一个gt的 w/h
+
+            if temp[0] not in data_dict:
+                data_dict[temp[0]] = {}
+                data_dict[temp[0]]['area'] = []
+                data_dict[temp[0]]['ratio'] = []
+
+            data_dict[temp[0]]['area'].append(area)
+            data_dict[temp[0]]['ratio'].append(ratio)
+
+    return data_dict
+
+
+def getSMLGtNumByClass(data_dict, class_num):
+    """
+    计算某个类别的小物体、中物体、大物体的个数
+    params data_dict: {dict: 3}  3 x {'类别':{’area':[...]}, {'ratio':[...]}}
+    params class_num: 类别  0, 1, 2
+    return s: 该类别小物体的个数  0 < area <= 0.5%
+           m: 该类别中物体的个数  0.5% < area <= 1%
+           l: 该类别大物体的个数  area > 1%
+    """
+    s, m, l = 0, 0, 0
+    # 图片的尺寸大小 注意修改!!!
+    h = 640
+    w = 640
+    for item in data_dict['{}'.format(class_num)]['area']:
+        if item * h * w <= h * w * 0.035:
+            s += 1
+        elif item * h * w <= h * w * 0.165:
+            m += 1
+        else:
+            l += 1
+    return s, m, l
+
+def getAllSMLGtNum(data_dict, isEachClass=False):
+    """
+    数据集所有类别小、中、大GT分布情况
+    isEachClass 控制是否按每个类别输出结构
+    """
+    S, M, L = 0, 0, 0
+    # 需要手动初始化下，有多少个类别就需要写多个
+    classDict = {'0': {'S': 0, 'M': 0, 'L': 0}}
+
+    print(classDict['0']['S'])
+    # range(class_num)类别数 注意修改!!!
+    if isEachClass == False:
+        for i in range(1):
+            s, m, l = getSMLGtNumByClass(data_dict, i)
+            S += s
+            M += m
+            L += l
+        return [S, M, L]
+    else:
+        for i in range(3):
+            S = 0
+            M = 0
+            L = 0
+            s, m, l = getSMLGtNumByClass(data_dict, i)
+            S += s
+            M += m
+            L += l
+            classDict[str(i)]['S'] = S
+            classDict[str(i)]['M'] = M
+            classDict[str(i)]['L'] = L
+        return classDict
+
+
+# 画图函数
+def plotAllSML(SML):
+    x = ['S:[0, 120x120]', 'M:[120x120, 260x260]', 'L:[260*260, 640x640]']
+    fig = plt.figure(figsize=(10, 8))  # 画布大小和像素密度
+    plt.bar(x, SML, width=0.5, align="center", color=['skyblue', 'orange', 'green'])
+    for a, b, i in zip(x, SML, range(len(x))):  # zip 函数
+        plt.text(a, b + 0.01, "%d" % int(SML[i]), ha='center', fontsize=15, color="r")  # plt.text 函数
+    plt.xticks(fontsize=15)
+    plt.yticks(fontsize=15)
+    plt.xlabel('gt大小', fontsize=16)
+    plt.ylabel('数量', fontsize=16)
+    plt.title('人脸检测训练集小、中、大分布情况(640x640)', fontsize=16)
+    plt.show()
+    # 保存到本地
+    # plt.savefig("")
+
+
+if __name__ == '__main__':
+    labeldir = r'C:\Users\pc\Desktop\YOLOv8face\datasets\faceData\train\labels'
+    data_dict = getGtAreaAndRatio(labeldir)
+    # 1、数据集所有类别小、中、大GT分布情况
+    # 控制是否按每个类别输出结构
+    isEachClass = False
+    SML = getAllSMLGtNum(data_dict, isEachClass)
+    # print(SML)
+    if not isEachClass:
+        plotAllSML(SML)
+

src/YOLOv8face1/detect_tools.py

@@ -0,0 +1,222 @@
+# encoding:utf-8
+import cv2
+from PyQt5.QtGui import QPixmap, QImage
+import numpy as np
+from PIL import Image,ImageDraw,ImageFont
+import csv
+import os
+
+# fontC = ImageFont.truetype("Font/platech.ttf", 20, 0)
+
+# 绘图展示
+def cv_show(name,img):
+	cv2.imshow(name, img)
+	cv2.waitKey(0)
+	cv2.destroyAllWindows()
+
+
+def drawRectBox(image, rect, addText, fontC, color):
+    """
+    绘制矩形框与结果
+    :param image: 原始图像
+    :param rect: 矩形框坐标, int类型
+    :param addText: 类别名称
+    :param fontC: 字体
+    :return:
+    """
+    # 绘制位置方框
+    cv2.rectangle(image, (rect[0], rect[1]),
+                 (rect[2], rect[3]),
+                 color, 2)
+
+    # 绘制字体背景框
+    cv2.rectangle(image, (rect[0] - 1, rect[1] - 25), (rect[0] + 60, rect[1]), color, -1, cv2.LINE_AA)
+    # 图片 添加的文字 位置 字体 字体大小 字体颜色 字体粗细
+    # cv2.putText(image, addText, (int(rect[0])+2, int(rect[1])-3), cv2.FONT_HERSHEY_SIMPLEX, 0.8, (255, 255, 255), 2)
+
+    img = Image.fromarray(image)
+    draw = ImageDraw.Draw(img)
+    draw.text((rect[0]+2, rect[1]-27), addText, (255, 255, 255), font=fontC)
+    imagex = np.array(img)
+    return imagex
+
+
+def img_cvread(path):
+    # 读取含中文名的图片文件
+    # img = cv2.imread(path)
+    img = cv2.imdecode(np.fromfile(path, dtype=np.uint8), cv2.IMREAD_COLOR)
+    return img
+
+
+def draw_boxes(img, boxes):
+    for each in boxes:
+        x1 = each[0]
+        y1 = each[1]
+        x2 = each[2]
+        y2 = each[3]
+        cv2.rectangle(img, (x1, y1), (x2, y2), (0, 255, 0), 2)
+    return img
+
+
+
+def cvimg_to_qpiximg(cvimg):
+    height, width, depth = cvimg.shape
+    cvimg = cv2.cvtColor(cvimg, cv2.COLOR_BGR2RGB)
+    qimg = QImage(cvimg.data, width, height, width * depth, QImage.Format_RGB888)
+    qpix_img = QPixmap(qimg)
+    return qpix_img
+
+
+def save_video():
+    # VideoCapture方法是cv2库提供的读取视频方法
+    cap = cv2.VideoCapture('C:\\Users\\xxx\\Desktop\\sweet.mp4')
+    # 设置需要保存视频的格式“xvid”
+    # 该参数是MPEG-4编码类型，文件名后缀为.avi
+    fourcc = cv2.VideoWriter_fourcc(*'XVID')
+    # 设置视频帧频
+    fps = cap.get(cv2.CAP_PROP_FPS)
+    # 设置视频大小
+    size = (int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)), int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)))
+    # VideoWriter方法是cv2库提供的保存视频方法
+    # 按照设置的格式来out输出
+    out = cv2.VideoWriter('C:\\Users\\xxx\\Desktop\\out.avi', fourcc, fps, size)
+
+    # 确定视频打开并循环读取
+    while (cap.isOpened()):
+        # 逐帧读取，ret返回布尔值
+        # 参数ret为True 或者False,代表有没有读取到图片
+        # frame表示截取到一帧的图片
+        ret, frame = cap.read()
+        if ret == True:
+            # 垂直翻转矩阵
+            frame = cv2.flip(frame, 0)
+
+            out.write(frame)
+
+            cv2.imshow('frame', frame)
+            if cv2.waitKey(1) & 0xFF == ord('q'):
+                break
+        else:
+            break
+
+    # 释放资源
+    cap.release()
+    out.release()
+    # 关闭窗口
+    cv2.destroyAllWindows()
+
+
+# 封装函数:图片上显示中文
+def cv2AddChineseText(img, text, position, textColor=(0, 255, 0), textSize=50):
+    if (isinstance(img, np.ndarray)):  # 判断是否OpenCV图片类型
+        img = Image.fromarray(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
+    # 创建一个可以在给定图像上绘图的对象
+    draw = ImageDraw.Draw(img)
+    # 字体的格式
+    fontStyle = ImageFont.truetype(
+        "simsun.ttc", textSize, encoding="utf-8")
+    # 绘制文本
+    draw.text(position, text, textColor, font=fontStyle)
+    # 转换回OpenCV格式
+    return cv2.cvtColor(np.asarray(img), cv2.COLOR_RGB2BGR)
+
+
+def insert_rows(path, lines ,header):
+    """
+    将n行数据写入csv文件
+    :param path:
+    :param lines:
+    :return:
+    """
+    no_header = False
+    if not os.path.exists(path):
+        no_header = True
+        start_num = 1
+    else:
+        start_num = len(open(path).readlines())
+
+    csv_head = header
+    with open(path, 'a', newline='') as f:
+        csv_write = csv.writer(f)
+        if no_header:
+            csv_write.writerow(csv_head)  # 写入表头
+
+        for each_list in lines:
+            # 添加序号
+            each_list = [start_num] + each_list
+            csv_write.writerow(each_list)
+            # 序号 + 1
+            start_num += 1
+
+class Colors:
+    # 用于绘制不同颜色
+    def __init__(self):
+        """Initialize colors as hex = matplotlib.colors.TABLEAU_COLORS.values()."""
+        hexs = ('FF3838', 'FF9D97', 'FF701F', 'FFB21D', 'CFD231', '48F90A', '92CC17', '3DDB86', '1A9334', '00D4BB',
+                '2C99A8', '00C2FF', '344593', '6473FF', '0018EC', '8438FF', '520085', 'CB38FF', 'FF95C8', 'FF37C7')
+        self.palette = [self.hex2rgb(f'#{c}') for c in hexs]
+        self.n = len(self.palette)
+        self.pose_palette = np.array([[255, 128, 0], [255, 153, 51], [255, 178, 102], [230, 230, 0], [255, 153, 255],
+                                      [153, 204, 255], [255, 102, 255], [255, 51, 255], [102, 178, 255], [51, 153, 255],
+                                      [255, 153, 153], [255, 102, 102], [255, 51, 51], [153, 255, 153], [102, 255, 102],
+                                      [51, 255, 51], [0, 255, 0], [0, 0, 255], [255, 0, 0], [255, 255, 255]],
+                                     dtype=np.uint8)
+
+    def __call__(self, i, bgr=False):
+        """Converts hex color codes to rgb values."""
+        c = self.palette[int(i) % self.n]
+        return (c[2], c[1], c[0]) if bgr else c
+
+    @staticmethod
+    def hex2rgb(h):  # rgb order (PIL)
+        return tuple(int(h[1 + i:1 + i + 2], 16) for i in (0, 2, 4))
+
+
+def yolo_to_location(w,h,yolo_data):
+    # yolo文件转两点坐标，注意画图坐标要转换成int格式
+    x_, y_, w_, h_ = yolo_data
+    x1 = int(w * x_ - 0.5 * w * w_)
+    x2 = int(w * x_ + 0.5 * w * w_)
+    y1 = int(h * y_ - 0.5 * h * h_)
+    y2 = int(h * y_ + 0.5 * h * h_)
+    # cv2.rectangle(img, (int(x1), int(y1)), (int(x2), int(y2)), (255, 0, 0))
+    return [x1,y1,x2,y2]
+
+def location_to_yolo(w, h, locations):
+    # x1,y1左上角坐标，x2,y2右上角坐标
+    x1, y1, x2, y2 = locations
+    x_ = (x1 + x2) / 2 / w
+    x_ = float('%.5f' % x_)
+    y_ = (y1 + y2) / 2 / h
+    y_ = float('%.5f' % y_)
+    w_ = (x2 - x1) / w
+    w_ = float('%.5f' % w_)
+    h_ = (y2 - y1) / h
+    h_ = float('%.5f' % h_)
+    return [x_,y_,w_,h_]
+
+def draw_yolo_data(img_path, yolo_file_path):
+    # 读取yolo标注数据并显示
+    img = cv2.imread(img_path)
+    h, w, _ = img.shape
+    print(img.shape)
+    # yolo标注数据文件名为786_rgb_0616.txt
+    with open(yolo_file_path, 'r') as f:
+        data = f.readlines()
+        for each in data:
+            temp = each.split()
+            # ['1', '0.43906', '0.52083', '0.34687', '0.15']
+            # YOLO转换为两点坐标x1, x2, y1, y2
+            x_, y_, w_, h_ = eval(temp[1]), eval(temp[2]), eval(temp[3]), eval(temp[4])
+            x1, y1, x2, y2 = yolo_to_location(w,h,[x_, y_, w_, h_])
+            # 画图验证框是否正确
+            cv2.rectangle(img, (x1, y1), (x2, y2), (0, 0, 255))
+
+    cv2.imshow('windows', img)
+    cv2.waitKey(0)
+
+if __name__ == '__main__':
+    img_path = 'TestFiles/1.jpg'
+    yolo_file_path = 'save_data/yolo_labels/1.txt'
+    draw_yolo_data(img_path, yolo_file_path)
+

src/YOLOv8face1/imgTest.py

@@ -0,0 +1,21 @@
+#coding:utf-8
+from ultralytics import YOLO
+import cv2
+
+# 所需加载的模型目录
+path = 'models/best.pt'
+# 需要检测的图片地址
+img_path = "TestFiles/test4.jpg"
+
+# 加载预训练模型
+# conf	0.25	object confidence threshold for detection
+# iou	0.7	intersection over union (IoU) threshold for NMS
+model = YOLO(path, task='detect')
+# model = YOLO(path, task='detect',conf=0.5)
+
+
+# 检测图片
+results = model(img_path)
+res = results[0].plot()
+cv2.imshow("YOLOv8 Detection", res)
+cv2.waitKey(0)

src/YOLOv8face1/installPackages.py

@@ -0,0 +1,7 @@
+import os
+
+pkgs = ['ultralytics','PyQt5==5.15.2','pyqt5-tools==5.15.2.3.1']
+
+for each in pkgs:
+    cmd_line = f"pip install {each} -i https://pypi.tuna.tsinghua.edu.cn/simple"
+    os.system(cmd_line)

src/YOLOv8face1/main.py

@@ -0,0 +1,5 @@
+import torch
+print(torch.cuda.is_available())
+print(torch.backends.cudnn.is_available())
+print(torch.cuda_version)
+print(torch.backends.cudnn.version())

src/YOLOv8face1/requirements.txt

@@ -0,0 +1,31 @@
+certifi==2023.7.22
+charset-normalizer==3.3.0
+colorama==0.4.6
+contourpy==1.1.1
+cycler==0.12.1
+fonttools==4.43.1
+idna==3.4
+importlib-resources==6.1.0
+kiwisolver==1.4.5
+matplotlib==3.8.0
+numpy==1.26.1
+opencv-python==4.8.1.78
+packaging==23.2
+psutil==5.9.6
+py-cpuinfo==9.0.0
+pyparsing==3.1.1
+python-dateutil==2.8.2
+pyyaml==6.0.1
+requests==2.31.0
+scipy==1.11.3
+seaborn==0.13.0
+six==1.16.0
+thop==0.1.1-2209072238
+# torch==1.9.0
+tqdm==4.66.1
+typing-extensions==4.8.0
+ultralytics==8.0.199
+urllib3==2.0.6
+zipp==3.17.0
+PyQt5==5.15.2
+pyqt5-tools==5.15.2.3.1

src/YOLOv8face1/runs/detect/train/args.yaml

@@ -0,0 +1,98 @@
+task: detect
+mode: train
+model: yolov8n.pt
+data: datasets/faceData/data.yaml
+epochs: 300
+patience: 50
+batch: 4
+imgsz: 640
+save: true
+save_period: -1
+cache: true
+device: 0
+workers: 12
+project: null
+name: train
+exist_ok: false
+pretrained: true
+optimizer: auto
+verbose: true
+seed: 0
+deterministic: true
+single_cls: false
+rect: false
+cos_lr: false
+close_mosaic: 10
+resume: false
+amp: true
+fraction: 1.0
+profile: false
+freeze: null
+overlap_mask: true
+mask_ratio: 4
+dropout: 0.0
+val: true
+split: val
+save_json: false
+save_hybrid: false
+conf: null
+iou: 0.7
+max_det: 300
+half: false
+dnn: false
+plots: true
+source: null
+show: false
+save_txt: false
+save_conf: false
+save_crop: false
+show_labels: true
+show_conf: true
+vid_stride: 1
+stream_buffer: false
+line_width: null
+visualize: false
+augment: false
+agnostic_nms: false
+classes: null
+retina_masks: false
+boxes: true
+format: torchscript
+keras: false
+optimize: false
+int8: false
+dynamic: false
+simplify: false
+opset: null
+workspace: 4
+nms: false
+lr0: 0.01
+lrf: 0.01
+momentum: 0.937
+weight_decay: 0.0005
+warmup_epochs: 3.0
+warmup_momentum: 0.8
+warmup_bias_lr: 0.1
+box: 7.5
+cls: 0.5
+dfl: 1.5
+pose: 12.0
+kobj: 1.0
+label_smoothing: 0.0
+nbs: 64
+hsv_h: 0.015
+hsv_s: 0.7
+hsv_v: 0.4
+degrees: 0.0
+translate: 0.1
+scale: 0.5
+shear: 0.0
+perspective: 0.0
+flipud: 0.0
+fliplr: 0.5
+mosaic: 1.0
+mixup: 0.0
+copy_paste: 0.0
+cfg: null
+tracker: botsort.yaml
+save_dir: runs\detect\train

src/YOLOv8face1/runs/detect/train/results.csv

@@ -0,0 +1,301 @@
+                  epoch,         train/box_loss,         train/cls_loss,         train/dfl_loss,   metrics/precision(B),      metrics/recall(B),       metrics/mAP50(B),    metrics/mAP50-95(B),           val/box_loss,           val/cls_loss,           val/dfl_loss,                 lr/pg0,                 lr/pg1,                 lr/pg2
+                      1,                 1.8366,                 1.6172,                   1.23,                0.73216,                 0.4057,                0.45729,                0.22342,                 1.6173,                 1.0335,                 1.1176,              0.0033324,              0.0033324,              0.0033324
+                      2,                 1.6996,                 1.1415,                 1.1168,                0.74462,                0.42432,                0.48077,                0.23546,                 1.5982,                 0.9299,                 1.0967,              0.0066437,              0.0066437,              0.0066437
+                      3,                 1.6942,                 1.0916,                 1.1144,                0.75214,                0.41787,                0.48389,                0.24459,                 1.5876,                0.91869,                 1.1124,               0.009933,               0.009933,               0.009933
+                      4,                 1.7002,                 1.0721,                 1.1165,                 0.7459,                0.43503,                0.49319,                0.24855,                 1.5479,                0.88047,                 1.0963,               0.009901,               0.009901,               0.009901
+                      5,                 1.6564,                 1.0036,                 1.1029,                0.75251,                0.44131,                0.50205,                0.25468,                  1.526,                0.86462,                 1.0938,               0.009901,               0.009901,               0.009901
+                      6,                 1.6158,                0.96155,                 1.0948,                0.77936,                0.44961,                0.51763,                0.26644,                 1.5144,                0.82764,                  1.092,               0.009868,               0.009868,               0.009868
+                      7,                 1.6037,                0.94048,                 1.0802,                0.77111,                0.46326,                0.52994,                0.27099,                 1.5069,                0.79548,                 1.0745,               0.009835,               0.009835,               0.009835
+                      8,                 1.5843,                0.92476,                 1.0833,                 0.7791,                0.46007,                0.52712,                0.27167,                 1.4899,                0.78321,                  1.079,               0.009802,               0.009802,               0.009802
+                      9,                 1.5674,                0.89715,                 1.0711,                0.77923,                0.46449,                0.53776,                0.28055,                   1.47,                0.76636,                  1.068,               0.009769,               0.009769,               0.009769
+                     10,                 1.5512,                0.87952,                 1.0653,                0.77521,                0.47389,                0.54483,                0.28164,                 1.4713,                 0.7573,                 1.0651,               0.009736,               0.009736,               0.009736
+                     11,                 1.5439,                0.87521,                 1.0637,                0.77805,                0.48045,                0.55307,                0.28919,                 1.4537,                0.74462,                 1.0681,               0.009703,               0.009703,               0.009703
+                     12,                 1.5349,                0.86626,                 1.0638,                0.79144,                0.48473,                0.55704,                 0.2906,                 1.4447,                0.74001,                 1.0585,                0.00967,                0.00967,                0.00967
+                     13,                 1.5389,                 0.8634,                 1.0593,                0.79582,                0.48468,                0.55985,                0.29173,                 1.4378,                0.72863,                 1.0536,               0.009637,               0.009637,               0.009637
+                     14,                  1.527,                0.85232,                 1.0575,                0.79959,                0.48924,                0.56194,                0.29369,                 1.4325,                0.72248,                 1.0529,               0.009604,               0.009604,               0.009604
+                     15,                 1.5167,                0.83858,                 1.0472,                0.79612,                0.50162,                0.57528,                0.30143,                 1.4291,                0.70915,                 1.0517,               0.009571,               0.009571,               0.009571
+                     16,                  1.511,                0.84003,                 1.0572,                0.79682,                0.49903,                0.57238,                0.29949,                 1.4255,                0.70613,                 1.0467,               0.009538,               0.009538,               0.009538
+                     17,                 1.5004,                0.82738,                 1.0452,                0.80276,                0.50093,                0.57732,                0.30315,                 1.4102,                0.70162,                   1.04,               0.009505,               0.009505,               0.009505
+                     18,                 1.4945,                0.82371,                  1.046,                0.80777,                    0.5,                0.57768,                0.30523,                 1.4061,                0.69825,                 1.0444,               0.009472,               0.009472,               0.009472
+                     19,                 1.4989,                0.82164,                  1.049,                0.80186,                0.50044,                0.57537,                 0.3031,                 1.4107,                0.69426,                 1.0475,               0.009439,               0.009439,               0.009439
+                     20,                 1.4915,                0.81587,                 1.0433,                0.80456,                0.51095,                0.58619,                0.30709,                 1.4054,                0.68744,                 1.0408,               0.009406,               0.009406,               0.009406
+                     21,                 1.4793,                0.80911,                 1.0439,                0.80117,                0.50482,                0.58149,                0.30702,                 1.4053,                0.68784,                 1.0416,               0.009373,               0.009373,               0.009373
+                     22,                 1.4898,                0.81082,                  1.045,                0.80043,                0.50707,                 0.5833,                0.30586,                 1.4035,                0.67973,                 1.0387,                0.00934,                0.00934,                0.00934
+                     23,                 1.4828,                0.80697,                 1.0414,                0.80335,                0.51238,                0.58912,                0.31067,                 1.3903,                0.67495,                 1.0341,               0.009307,               0.009307,               0.009307
+                     24,                 1.4826,                0.80751,                 1.0396,                0.79396,                0.51665,                0.58972,                0.31185,                 1.3907,                0.67116,                 1.0299,               0.009274,               0.009274,               0.009274
+                     25,                  1.469,                0.79728,                  1.037,                0.80462,                0.51567,                0.59328,                0.31328,                 1.3887,                0.66722,                 1.0345,               0.009241,               0.009241,               0.009241
+                     26,                 1.4824,                0.80153,                 1.0417,                 0.8068,                0.51665,                0.59521,                0.31561,                  1.385,                0.66532,                 1.0326,               0.009208,               0.009208,               0.009208
+                     27,                 1.4735,                0.79673,                 1.0361,                0.81817,                0.51434,                0.59627,                 0.3157,                 1.3824,                 0.6601,                 1.0295,               0.009175,               0.009175,               0.009175
+                     28,                 1.4669,                0.79048,                 1.0345,                0.80737,                0.51793,                0.59457,                0.31481,                 1.3863,                 0.6613,                 1.0321,               0.009142,               0.009142,               0.009142
+                     29,                  1.478,                0.79455,                 1.0352,                0.80684,                0.51922,                0.59626,                0.31542,                 1.3801,                0.65883,                 1.0294,               0.009109,               0.009109,               0.009109
+                     30,                 1.4666,                0.78563,                 1.0305,                0.81345,                0.51743,                0.59667,                0.31766,                 1.3758,                0.64901,                 1.0265,               0.009076,               0.009076,               0.009076
+                     31,                 1.4614,                  0.785,                 1.0308,                0.80573,                0.52441,                0.60194,                0.31961,                 1.3724,                 0.6502,                 1.0264,               0.009043,               0.009043,               0.009043
+                     32,                 1.4634,                0.78495,                   1.03,                0.81169,                0.51881,                0.59713,                0.31653,                 1.3714,                0.64888,                 1.0239,                0.00901,                0.00901,                0.00901
+                     33,                 1.4562,                 0.7776,                 1.0319,                0.80824,                 0.5239,                0.60092,                0.31811,                 1.3725,                 0.6479,                 1.0243,               0.008977,               0.008977,               0.008977
+                     34,                 1.4608,                0.78239,                 1.0343,                 0.8152,                 0.5246,                0.60352,                0.32082,                 1.3738,                0.64521,                 1.0266,               0.008944,               0.008944,               0.008944
+                     35,                 1.4568,                0.77935,                 1.0331,                0.81581,                0.52456,                0.60224,                0.31993,                 1.3704,                0.64374,                 1.0275,               0.008911,               0.008911,               0.008911
+                     36,                 1.4511,                0.76946,                 1.0274,                 0.8176,                0.52902,                0.60728,                0.32229,                  1.366,                0.64142,                 1.0232,               0.008878,               0.008878,               0.008878
+                     37,                   1.45,                0.76984,                 1.0284,                 0.8169,                0.52652,                0.60466,                0.32245,                 1.3641,                0.63698,                 1.0221,               0.008845,               0.008845,               0.008845
+                     38,                 1.4495,                0.76749,                 1.0282,                 0.8147,                0.52902,                0.60759,                0.32213,                 1.3639,                0.63651,                 1.0216,               0.008812,               0.008812,               0.008812
+                     39,                  1.447,                0.76387,                 1.0268,                0.82156,                0.52726,                0.60757,                0.32386,                 1.3625,                0.63241,                 1.0208,               0.008779,               0.008779,               0.008779
+                     40,                 1.4438,                0.76333,                 1.0252,                0.81094,                 0.5334,                0.61003,                0.32494,                 1.3625,                0.63078,                 1.0217,               0.008746,               0.008746,               0.008746
+                     41,                 1.4421,                0.76169,                 1.0255,                0.81466,                0.53125,                0.60807,                0.32363,                  1.361,                0.63154,                 1.0219,               0.008713,               0.008713,               0.008713
+                     42,                 1.4381,                0.76428,                 1.0251,                 0.8128,                0.53541,                0.61123,                0.32527,                 1.3571,                0.63195,                 1.0211,                0.00868,                0.00868,                0.00868
+                     43,                 1.4432,                0.76062,                 1.0273,                  0.809,                0.53595,                0.61143,                0.32473,                  1.359,                0.62995,                 1.0218,               0.008647,               0.008647,               0.008647
+                     44,                 1.4449,                0.76623,                 1.0273,                0.80624,                0.53644,                0.61108,                0.32432,                 1.3596,                0.62857,                 1.0207,               0.008614,               0.008614,               0.008614
+                     45,                 1.4417,                0.76109,                 1.0217,                0.81111,                0.53605,                 0.6127,                0.32521,                 1.3593,                0.62836,                 1.0198,               0.008581,               0.008581,               0.008581
+                     46,                 1.4321,                0.75374,                 1.0216,                0.81368,                 0.5364,                0.61196,                0.32574,                 1.3587,                0.62687,                 1.0201,               0.008548,               0.008548,               0.008548
+                     47,                  1.446,                 0.7608,                 1.0226,                0.80926,                0.53914,                0.61401,                0.32651,                 1.3554,                0.62499,                 1.0183,               0.008515,               0.008515,               0.008515
+                     48,                 1.4349,                0.75259,                 1.0236,                 0.8108,                0.53845,                0.61365,                0.32693,                 1.3533,                0.62398,                 1.0167,               0.008482,               0.008482,               0.008482
+                     49,                 1.4363,                0.75445,                 1.0237,                0.81126,                0.53949,                0.61408,                0.32765,                 1.3524,                0.62248,                 1.0177,               0.008449,               0.008449,               0.008449
+                     50,                 1.4324,                0.74858,                 1.0226,                0.81467,                0.53841,                0.61406,                0.32794,                  1.352,                0.62139,                 1.0183,               0.008416,               0.008416,               0.008416
+                     51,                 1.4338,                0.75026,                 1.0216,                0.81477,                 0.5388,                0.61559,                 0.3293,                 1.3514,                0.62012,                 1.0187,               0.008383,               0.008383,               0.008383
+                     52,                 1.4261,                0.74897,                 1.0223,                0.81789,                0.53772,                0.61498,                0.32866,                 1.3509,                0.61872,                 1.0174,                0.00835,                0.00835,                0.00835
+                     53,                 1.4313,                0.74894,                  1.021,                0.81446,                0.53791,                 0.6149,                0.32906,                 1.3498,                 0.6189,                 1.0167,               0.008317,               0.008317,               0.008317
+                     54,                 1.4374,                0.75515,                 1.0203,                0.81533,                0.53649,                0.61463,                0.32942,                 1.3488,                0.61815,                 1.0159,               0.008284,               0.008284,               0.008284
+                     55,                 1.4341,                0.75004,                   1.02,                0.81816,                0.53693,                0.61413,                0.32926,                  1.348,                0.61723,                 1.0161,               0.008251,               0.008251,               0.008251
+                     56,                 1.4227,                0.74446,                 1.0193,                0.82126,                0.53624,                0.61425,                 0.3296,                 1.3484,                0.61657,                 1.0171,               0.008218,               0.008218,               0.008218
+                     57,                 1.4275,                 0.7423,                 1.0168,                0.82008,                0.53633,                0.61454,                0.33001,                 1.3468,                0.61503,                 1.0164,               0.008185,               0.008185,               0.008185
+                     58,                 1.4282,                0.74306,                 1.0176,                0.81829,                0.53909,                0.61599,                0.33017,                 1.3465,                0.61423,                 1.0163,               0.008152,               0.008152,               0.008152
+                     59,                 1.4247,                0.73917,                  1.015,                 0.8196,                0.53988,                0.61715,                0.33048,                 1.3466,                0.61296,                 1.0165,               0.008119,               0.008119,               0.008119
+                     60,                 1.4332,                0.74758,                  1.017,                0.82261,                0.53908,                0.61859,                0.33099,                 1.3464,                0.61228,                 1.0161,               0.008086,               0.008086,               0.008086
+                     61,                 1.4205,                0.74213,                 1.0188,                0.82373,                0.53919,                0.61875,                0.33134,                 1.3464,                0.61194,                 1.0162,               0.008053,               0.008053,               0.008053
+                     62,                  1.425,                0.74274,                 1.0166,                0.82279,                0.53968,                0.61843,                0.33131,                  1.347,                0.61144,                 1.0159,                0.00802,                0.00802,                0.00802
+                     63,                 1.4291,                0.74075,                  1.017,                0.81851,                0.54154,                0.61889,                 0.3315,                 1.3469,                0.61152,                 1.0161,               0.007987,               0.007987,               0.007987
+                     64,                 1.4219,                0.74298,                 1.0177,                0.82097,                0.54026,                0.61851,                0.33164,                 1.3466,                0.61163,                  1.016,               0.007954,               0.007954,               0.007954
+                     65,                 1.4266,                0.73952,                  1.017,                0.81926,                0.54022,                 0.6187,                0.33209,                 1.3463,                0.61171,                 1.0163,               0.007921,               0.007921,               0.007921
+                     66,                 1.4278,                0.74037,                 1.0147,                0.81862,                0.54081,                0.61909,                0.33213,                 1.3457,                0.61062,                 1.0158,               0.007888,               0.007888,               0.007888
+                     67,                 1.4183,                0.73243,                 1.0126,                0.81686,                0.54248,                0.61944,                0.33257,                 1.3448,                0.60959,                 1.0152,               0.007855,               0.007855,               0.007855
+                     68,                 1.4215,                0.73568,                 1.0146,                0.81829,                0.54322,                0.62038,                0.33265,                 1.3439,                0.60876,                  1.015,               0.007822,               0.007822,               0.007822
+                     69,                 1.4224,                 0.7344,                 1.0136,                0.81864,                0.54334,                0.62044,                  0.333,                 1.3438,                0.60831,                  1.015,               0.007789,               0.007789,               0.007789
+                     70,                  1.416,                 0.7341,                 1.0113,                0.81974,                0.54415,                0.62089,                0.33331,                 1.3433,                0.60708,                 1.0146,               0.007756,               0.007756,               0.007756
+                     71,                 1.4174,                 0.7324,                 1.0141,                0.82096,                 0.5444,                0.62096,                0.33341,                 1.3424,                0.60636,                 1.0143,               0.007723,               0.007723,               0.007723
+                     72,                 1.4189,                0.73294,                  1.011,                0.81981,                0.54518,                0.62188,                0.33355,                 1.3424,                0.60576,                 1.0144,                0.00769,                0.00769,                0.00769
+                     73,                 1.4138,                0.73535,                 1.0157,                0.81997,                0.54377,                0.62134,                0.33364,                  1.342,                0.60532,                 1.0143,               0.007657,               0.007657,               0.007657
+                     74,                 1.4145,                 0.7302,                 1.0136,                0.81922,                0.54459,                0.62154,                0.33371,                 1.3424,                0.60538,                 1.0144,               0.007624,               0.007624,               0.007624
+                     75,                 1.4123,                0.72954,                 1.0118,                0.81753,                0.54651,                0.62168,                0.33367,                 1.3424,                0.60525,                 1.0142,               0.007591,               0.007591,               0.007591
+                     76,                 1.4134,                0.73017,                 1.0138,                0.81633,                0.54607,                0.62139,                0.33364,                 1.3417,                0.60494,                 1.0138,               0.007558,               0.007558,               0.007558
+                     77,                 1.4047,                 0.7226,                  1.009,                0.81883,                0.54415,                0.62148,                0.33379,                 1.3417,                0.60449,                 1.0139,               0.007525,               0.007525,               0.007525
+                     78,                 1.4129,                0.73034,                 1.0152,                0.81776,                0.54474,                0.62172,                0.33386,                 1.3414,                0.60429,                 1.0137,               0.007492,               0.007492,               0.007492
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src/YOLOv8face1/runs/detect/train10/args.yaml

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src/YOLOv8face1/runs/detect/train11/args.yaml

@@ -0,0 +1,105 @@
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src/YOLOv8face1/runs/detect/train11/results.csv

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