diff --git a/imageProcess/actionDrive/__init__.py b/imageProcess/actionDrive/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/imageProcess/actionDrive/admin.py b/imageProcess/actionDrive/admin.py deleted file mode 100644 index 8c38f3f3..00000000 --- a/imageProcess/actionDrive/admin.py +++ /dev/null @@ -1,3 +0,0 @@ -from django.contrib import admin - -# Register your models here. diff --git a/imageProcess/actionDrive/apps.py b/imageProcess/actionDrive/apps.py deleted file mode 100644 index d807f7ab..00000000 --- a/imageProcess/actionDrive/apps.py +++ /dev/null @@ -1,6 +0,0 @@ -from django.apps import AppConfig - - -class ActiondriveConfig(AppConfig): - default_auto_field = 'django.db.models.BigAutoField' - name = 'actionDrive' diff --git a/imageProcess/actionDrive/migrations/__init__.py b/imageProcess/actionDrive/migrations/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/imageProcess/actionDrive/models.py b/imageProcess/actionDrive/models.py deleted file mode 100644 index 71a83623..00000000 --- a/imageProcess/actionDrive/models.py +++ /dev/null @@ -1,3 +0,0 @@ -from django.db import models - -# Create your models here. diff --git a/imageProcess/actionDrive/tests.py b/imageProcess/actionDrive/tests.py deleted file mode 100644 index 7ce503c2..00000000 --- a/imageProcess/actionDrive/tests.py +++ /dev/null @@ -1,3 +0,0 @@ -from django.test import TestCase - -# Create your tests here. diff --git a/imageProcess/actionDrive/views.py b/imageProcess/actionDrive/views.py deleted file mode 100644 index 91ea44a2..00000000 --- a/imageProcess/actionDrive/views.py +++ /dev/null @@ -1,3 +0,0 @@ -from django.shortcuts import render - -# Create your views here. diff --git a/imageProcess/ageTransfer/__init__.py b/imageProcess/ageTransfer/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/imageProcess/ageTransfer/admin.py b/imageProcess/ageTransfer/admin.py deleted file mode 100644 index 8c38f3f3..00000000 --- a/imageProcess/ageTransfer/admin.py +++ /dev/null @@ -1,3 +0,0 @@ -from django.contrib import admin - -# Register your models here. diff --git a/imageProcess/ageTransfer/apps.py b/imageProcess/ageTransfer/apps.py deleted file mode 100644 index e652c7e9..00000000 --- a/imageProcess/ageTransfer/apps.py +++ /dev/null @@ -1,6 +0,0 @@ -from django.apps import AppConfig - - -class AgetransferConfig(AppConfig): - default_auto_field = 'django.db.models.BigAutoField' - name = 'ageTransfer' diff --git a/imageProcess/ageTransfer/migrations/__init__.py b/imageProcess/ageTransfer/migrations/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/imageProcess/ageTransfer/models.py b/imageProcess/ageTransfer/models.py deleted file mode 100644 index 71a83623..00000000 --- a/imageProcess/ageTransfer/models.py +++ /dev/null @@ -1,3 +0,0 @@ -from django.db import models - -# Create your models here. diff --git a/imageProcess/ageTransfer/tests.py b/imageProcess/ageTransfer/tests.py deleted file mode 100644 index 7ce503c2..00000000 --- a/imageProcess/ageTransfer/tests.py +++ /dev/null @@ -1,3 +0,0 @@ -from django.test import TestCase - -# Create your tests here. diff --git a/imageProcess/ageTransfer/views.py b/imageProcess/ageTransfer/views.py deleted file mode 100644 index 91ea44a2..00000000 --- a/imageProcess/ageTransfer/views.py +++ /dev/null @@ -1,3 +0,0 @@ -from django.shortcuts import render - -# Create your views here. diff --git a/imageProcess/basicFunction/no-bg.png b/imageProcess/basicFunction/no-bg.png new file mode 100644 index 00000000..737c0400 Binary files /dev/null and b/imageProcess/basicFunction/no-bg.png differ diff --git a/imageProcess/basicFunction/views.py b/imageProcess/basicFunction/views.py index cf67cca0..3d0f0cfa 100644 --- a/imageProcess/basicFunction/views.py +++ b/imageProcess/basicFunction/views.py @@ -1,16 +1,18 @@ -import cv2 -import numpy as np -from django.core.files.uploadedfile import InMemoryUploadedFile -from django.http import HttpResponse + +from removebg import RemoveBg from django.http import JsonResponse from django.views.decorators.http import require_POST,require_GET +from matplotlib import pyplot as plt import sys -sys.path.append("..") +import imutils +from PIL import Image +sys.path.append("../") import urllib.request import base64 import cv2 import numpy as np - +import numba as nb +from pyzbar.pyzbar import decode # base64转cv def base64tocv(imagecode): strList = str(imagecode).split(',') @@ -23,14 +25,14 @@ def base64tocv(imagecode): # image = cv2.imdecode(nparr, cv2.IMREAD_COLOR) return image -#cv 转 base64 -def cvtobase64(img): - # - # image = cv2.imencode('.jpg', img)[1] - # res_bs64 = str(base64.b64encode(image))[2:-1] - res_b = cv2.imencode('.jpg', img)[1].tostring() - res_bs64 = base64.b64encode(res_b) - return res_bs64 +# #cv 转 base64 +# def cvtobase64(img): +# # +# # image = cv2.imencode('.jpg', img)[1] +# # res_bs64 = str(base64.b64encode(image))[2:-1] +# res_b = cv2.imencode('.jpg', img)[1].tostring() +# res_bs64 = base64.b64encode(res_b) +# return res_bs64 #InMemoryUploadedFile 转 ndarray def getNdarraybyInMemoryUploadedFile(uploaded_file): @@ -97,12 +99,171 @@ def rotatePicture(request): image = request.POST.get('files') cv_image = base64tocv(image) rows, cols, depth = cv_image.shape + (cX, cY) = (cols // 2, rows // 2) direction=request.POST.get('direction') if(direction=='left'): M = cv2.getRotationMatrix2D((cols / 2, rows / 2), 90, 1) - cv_image = cv2.warpAffine(cv_image, M, (cols, rows)) + cos = np.abs(M[0, 0]) + sin = np.abs(M[0, 1]) + nW = int((rows * sin) + (cols * cos)) + nH = int((rows * cos) + (cols * sin)) + M[0, 2] += (nW / 2) - cX + M[1, 2] += (nH / 2) - cY + cv_image = cv2.warpAffine(cv_image, M, (nW, nH),borderValue=(255,255,255)) elif(direction=='right'): M = cv2.getRotationMatrix2D((cols / 2, rows / 2), -90, 1) - cv_image = cv2.warpAffine(cv_image, M, (cols, rows)) + cos = np.abs(M[0, 0]) + sin = np.abs(M[0, 1]) + nW = int((rows * sin) + (cols * cos)) + nH = int((rows * cos) + (cols * sin)) + M[0, 2] += (nW / 2) - cX + M[1, 2] += (nH / 2) - cY + cv_image = cv2.warpAffine(cv_image, M, (nW, nH),borderValue=(255,255,255)) rotate_image=getbase64byndarray(cv_image) - return JsonResponse(data={"image": rotate_image}, json_dumps_params={'ensure_ascii': False}) \ No newline at end of file + return JsonResponse(data={"image": rotate_image}, json_dumps_params={'ensure_ascii': False}) + +#抠图 +@require_POST +def keying(request): + rmbg = RemoveBg("XHfvSY3phCVna4NZj8Tr8Wnz", "error.log") + image = request.POST.get('files') + rmbg.remove_background_from_base64_img(image,new_file_name="output.jpg",bg_color=(0,0,0)) + result=cv2.imread("output.jpg") + result=getbase64byndarray(result) + return JsonResponse(data={"image": result}, json_dumps_params={'ensure_ascii': False}) + +#图像平滑 +@require_POST +def smooth(request): + base_image = request.POST.get('files') + cv_image=base64tocv(base_image) + imgarray = np.array(cv_image) + height, width = imgarray.shape[0], imgarray.shape[1] + + edge = int((3 - 1) / 2) + if height - 1 - edge <= edge or width - 1 - edge <= edge: + print("the kenerl is to long") + return None + for i in range(height): + for j in range(width): + if i <= edge - 1 or i >= height - 1 - edge or j <= edge - 1 or j >= height - 1 - edge: + imgarray[i][j] = imgarray[i][j] + else: + num = [] + for m in range(i - edge, i + edge + 1): + for n in range(j - edge, j + edge + 1): + num.append((imgarray[m][n])[0]) # 这里通过彩色图像第一个值计算中值也可以改为第二个或者第三个 + temp = np.median(num) + idex_tem = num.index(temp) # 获取中值在数组中的坐标 + l1 = int((idex_tem / 3)) - edge + i # 根据进制转换反推出中值在图像中的坐标 + l2 = (idex_tem % 3) - edge + j + imgarray[i][j] = imgarray[l1][l2] # 赋值 + # num1 = np.sort(num)[int(self.k * self.k / 2)] + # print(idex_tem) + # temp = np.median(imgarray[i][j], imgarray[i - edge][j], imgarray[i - edge][j]) + # imgarray[i][j] = np.median(imgarray[i - edge:i + edge + 1, j -edge:j+edge + 1]) + + + new_img = Image.fromarray(imgarray) + result=getbase64byndarray(imgarray) + return JsonResponse(data={"image": result}, json_dumps_params={'ensure_ascii': False}) + + +#曝光调整 +def exposure(request): + img = request.POST.get('files') + image = base64tocv(img) + # chans = cv2.split(image) + # colors = ("b", "g", "r") + # for (chan, color) in zip(chans, colors): + # hist = cv2.calcHist([chan], [0], None, [256], [0, 256]) + # # plt.plot(hist, color=color) + # # plt.xlim([0, 256]) + + # plt.subplot(4, 2, 5) + equalizeOver = np.zeros(image.shape, image.dtype) + equalizeOver[:, :, 0] = cv2.equalizeHist(image[:, :, 0]) + equalizeOver[:, :, 1] = cv2.equalizeHist(image[:, :, 1]) + equalizeOver[:, :, 2] = cv2.equalizeHist(image[:, :, 2]) + + output = getbase64byndarray(equalizeOver) + return JsonResponse(data={"image": output}, json_dumps_params={'ensure_ascii': False}) + +#锐化 +def sharpen(request): + img = request.POST.get('files') + image = base64tocv(img) + + sharpen_op = np.array([[0, -1, 0], [-1, 5, -1], [0, -1, 0]], dtype=np.float32) + # sharpen_op = np.array([[0, -1, 0], [-1, 4, -1], [0, -1, 0]], dtype=np.float32) + sharpen_image = cv2.filter2D(image, cv2.CV_32F, sharpen_op) + sharpen_image = cv2.convertScaleAbs(sharpen_image) + + output = getbase64byndarray(sharpen_image) + return JsonResponse(data={"image": output}, json_dumps_params={'ensure_ascii': False}) + +#识别条形码 +def barCode(request): + img = request.POST.get('files') + image = base64tocv(img) + gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) + cv2.imshow("Image", gray) + cv2.waitKey(0) + + # 计算图片x和y方向的Scharr梯度大小 + ddepth = cv2.cv.CV_32F if imutils.is_cv2() else cv2.CV_32F + gradX = cv2.Sobel(gray, ddepth=ddepth, dx=1, dy=0, ksize=-1) + gradY = cv2.Sobel(gray, ddepth=ddepth, dx=0, dy=1, ksize=-1) + + # 用x方向的梯度减去y方向的梯度 + gradient = cv2.subtract(gradX, gradY) + gradient = cv2.convertScaleAbs(gradient) + cv2.imshow("gradient", gradient) + cv2.waitKey(0) + + blurred = cv2.blur(gradient, (9, 9)) + (_, thresh) = cv2.threshold(blurred, 180, 255, cv2.THRESH_BINARY) + cv2.imshow("blur", blurred) + cv2.waitKey(0) + cv2.imshow("thresh", thresh) + cv2.waitKey(0) + # 　构造一个闭合核并应用于阈值图片 + kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (21, 10)) + closed = cv2.morphologyEx(thresh, cv2.MORPH_CLOSE, kernel) + cv2.imshow("closed", closed) + cv2.waitKey(0) + + # 执行一系列的腐蚀和膨胀操作 + closed = cv2.dilate(closed, None, iterations=4) + closed = cv2.erode(closed, None, iterations=4) + cv2.imshow("Image", closed) + cv2.waitKey(0) + + # 找到阈值化后图片中的轮廓，然后进行根据区域进行排序，仅保留最大区域 + cnts = cv2.findContours(closed.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) + cnts = imutils.grab_contours(cnts) + c = sorted(cnts, key=cv2.contourArea, reverse=True)[0] + + # 计算最大轮廓的旋转边界框 + rect = cv2.minAreaRect(c) + box = cv2.cv.BoxPoints(rect) if imutils.is_cv2() else cv2.boxPoints(rect) + box = np.int0(box) + + # 在检测到的条形码周围绘制边界框并显示图片 + cv2.drawContours(image, [box], -1, (0, 255, 0), 3) + result=getbase64byndarray(image) + + return JsonResponse(data={"image": result}, json_dumps_params={'ensure_ascii': False}) + +#噪声去除 +def removeNoise(request): + img = request.POST.get('files') + img = base64tocv(img) + + specular = cv2.fastNlMeansDenoisingColored(img, None, 10, 5, 7, 21) + + result = getbase64byndarray(specular) + return JsonResponse(data={"image": result}, json_dumps_params={'ensure_ascii': False}) + + + diff --git a/imageProcess/error.log b/imageProcess/error.log new file mode 100644 index 00000000..f9a768f3 --- /dev/null +++ b/imageProcess/error.log @@ -0,0 +1,179 @@ +INFO:django.utils.autoreload:F:\imageprocess\imageProcess\basicFunction\views.py changed, reloading. +ERROR:django.request:Internal Server Error: /keying/ +Traceback (most recent call last): + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\core\handlers\exception.py", line 47, in inner + response = get_response(request) + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\core\handlers\base.py", line 181, in _get_response + response = wrapped_callback(request, *callback_args, **callback_kwargs) + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\views\decorators\http.py", line 40, in inner + return func(request, *args, **kwargs) + File "F:\imageprocess\imageProcess\basicFunction\views.py", line 131, in keying + result=cvtobase64(image) + File "F:\imageprocess\imageProcess\basicFunction\views.py", line 32, in cvtobase64 + res_b = cv2.imencode('.jpg', img)[1].tostring() +cv2.error: OpenCV(4.6.0) D:\a\opencv-python\opencv-python\opencv\modules\imgcodecs\src\loadsave.cpp:976: error: (-215:Assertion failed) !image.empty() in function 'cv::imencode' + +INFO:django.utils.autoreload:F:\imageprocess\imageProcess\basicFunction\views.py changed, reloading. +ERROR:django.request:Internal Server Error: /keying/ +Traceback (most recent call last): + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\core\handlers\exception.py", line 47, in inner + response = get_response(request) + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\core\handlers\base.py", line 181, in _get_response + response = wrapped_callback(request, *callback_args, **callback_kwargs) + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\views\decorators\http.py", line 40, in inner + return func(request, *args, **kwargs) + File "F:\imageprocess\imageProcess\basicFunction\views.py", line 131, in keying + result=cvtobase64(image) + File "F:\imageprocess\imageProcess\basicFunction\views.py", line 32, in cvtobase64 + res_b = cv2.imencode('.jpg', img)[1].tostring() +cv2.error: OpenCV(4.6.0) D:\a\opencv-python\opencv-python\opencv\modules\imgcodecs\src\loadsave.cpp:976: error: (-215:Assertion failed) !image.empty() in function 'cv::imencode' + +INFO:django.utils.autoreload:F:\imageprocess\imageProcess\basicFunction\views.py changed, reloading. +ERROR:django.request:Internal Server Error: /keying/ +Traceback (most recent call last): + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\core\handlers\exception.py", line 47, in inner + response = get_response(request) + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\core\handlers\base.py", line 181, in _get_response + response = wrapped_callback(request, *callback_args, **callback_kwargs) + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\views\decorators\http.py", line 40, in inner + return func(request, *args, **kwargs) + File "F:\imageprocess\imageProcess\basicFunction\views.py", line 132, in keying + return JsonResponse(data={"image": result}, json_dumps_params={'ensure_ascii': False}) + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\http\response.py", line 603, in __init__ + data = json.dumps(data, cls=encoder, **json_dumps_params) + File "C:\Users\ASUS\anaconda3\lib\json\__init__.py", line 234, in dumps + return cls( + File "C:\Users\ASUS\anaconda3\lib\json\encoder.py", line 199, in encode + chunks = self.iterencode(o, _one_shot=True) + File "C:\Users\ASUS\anaconda3\lib\json\encoder.py", line 257, in iterencode + return _iterencode(o, 0) + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\core\serializers\json.py", line 105, in default + return super().default(o) + File "C:\Users\ASUS\anaconda3\lib\json\encoder.py", line 179, in default + raise TypeError(f'Object of type {o.__class__.__name__} ' +TypeError: Object of type bytes is not JSON serializable +INFO:django.utils.autoreload:F:\imageprocess\imageProcess\basicFunction\views.py changed, reloading. +INFO:django.utils.autoreload:F:\imageprocess\imageProcess\basicFunction\views.py changed, reloading. +ERROR:django.request:Internal Server Error: /keying/ +Traceback (most recent call last): + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\core\handlers\exception.py", line 47, in inner + response = get_response(request) + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\core\handlers\base.py", line 181, in _get_response + response = wrapped_callback(request, *callback_args, **callback_kwargs) + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\views\decorators\http.py", line 40, in inner + return func(request, *args, **kwargs) + File "F:\imageprocess\imageProcess\basicFunction\views.py", line 129, in keying + rmbg.remove_background_from_base64_img(image,bg_color=(0,0,0)) + File "C:\Users\ASUS\anaconda3\lib\site-packages\removebg\removebg.py", line 72, in remove_background_from_base64_img + response.raise_for_status() + File "C:\Users\ASUS\anaconda3\lib\site-packages\requests\models.py", line 943, in raise_for_status + raise HTTPError(http_error_msg, response=self) +requests.exceptions.HTTPError: 400 Client Error: Bad Request for url: https://api.remove.bg/v1.0/removebg +ERROR:django.request:Internal Server Error: /keying/ +Traceback (most recent call last): + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\core\handlers\exception.py", line 47, in inner + response = get_response(request) + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\core\handlers\base.py", line 181, in _get_response + response = wrapped_callback(request, *callback_args, **callback_kwargs) + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\views\decorators\http.py", line 40, in inner + return func(request, *args, **kwargs) + File "F:\imageprocess\imageProcess\basicFunction\views.py", line 129, in keying + rmbg.remove_background_from_base64_img(image,bg_color=(0,0,0)) + File "C:\Users\ASUS\anaconda3\lib\site-packages\removebg\removebg.py", line 72, in remove_background_from_base64_img + response.raise_for_status() + File "C:\Users\ASUS\anaconda3\lib\site-packages\requests\models.py", line 943, in raise_for_status + raise HTTPError(http_error_msg, response=self) +requests.exceptions.HTTPError: 400 Client Error: Bad Request for url: https://api.remove.bg/v1.0/removebg +INFO:django.utils.autoreload:F:\imageprocess\imageProcess\basicFunction\views.py changed, reloading. +ERROR:django.request:Internal Server Error: /keying/ +Traceback (most recent call last): + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\core\handlers\exception.py", line 47, in inner + response = get_response(request) + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\core\handlers\base.py", line 181, in _get_response + response = wrapped_callback(request, *callback_args, **callback_kwargs) + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\views\decorators\http.py", line 40, in inner + return func(request, *args, **kwargs) + File "F:\imageprocess\imageProcess\basicFunction\views.py", line 128, in keying + result=getbase64byndarray(image) + File "F:\imageprocess\imageProcess\basicFunction\views.py", line 42, in getbase64byndarray + retval, buffer = cv2.imencode('.jpg', pic_img) +cv2.error: OpenCV(4.6.0) :-1: error: (-5:Bad argument) in function 'imencode' +> Overload resolution failed: +> - img is not a numpy array, neither a scalar +> - Expected Ptr for argument 'img' + +INFO:django.utils.autoreload:F:\imageprocess\imageProcess\basicFunction\views.py changed, reloading. +ERROR:django.request:Internal Server Error: /keying/ +Traceback (most recent call last): + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\core\handlers\exception.py", line 47, in inner + response = get_response(request) + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\core\handlers\base.py", line 181, in _get_response + response = wrapped_callback(request, *callback_args, **callback_kwargs) + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\views\decorators\http.py", line 40, in inner + return func(request, *args, **kwargs) + File "F:\imageprocess\imageProcess\basicFunction\views.py", line 128, in keying + result=getbase64byndarray(image) + File "F:\imageprocess\imageProcess\basicFunction\views.py", line 42, in getbase64byndarray + retval, buffer = cv2.imencode('.jpg', pic_img) +cv2.error: OpenCV(4.6.0) :-1: error: (-5:Bad argument) in function 'imencode' +> Overload resolution failed: +> - img is not a numpy array, neither a scalar +> - Expected Ptr for argument 'img' + +INFO:django.utils.autoreload:F:\imageprocess\imageProcess\basicFunction\views.py changed, reloading. +ERROR:django.request:Internal Server Error: /keying/ +Traceback (most recent call last): + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\core\handlers\exception.py", line 47, in inner + response = get_response(request) + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\core\handlers\base.py", line 181, in _get_response + response = wrapped_callback(request, *callback_args, **callback_kwargs) + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\views\decorators\http.py", line 40, in inner + return func(request, *args, **kwargs) + File "F:\imageprocess\imageProcess\basicFunction\views.py", line 129, in keying + return JsonResponse(data={"image": result}, json_dumps_params={'ensure_ascii': False}) + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\http\response.py", line 603, in __init__ + data = json.dumps(data, cls=encoder, **json_dumps_params) + File "C:\Users\ASUS\anaconda3\lib\json\__init__.py", line 234, in dumps + return cls( + File "C:\Users\ASUS\anaconda3\lib\json\encoder.py", line 199, in encode + chunks = self.iterencode(o, _one_shot=True) + File "C:\Users\ASUS\anaconda3\lib\json\encoder.py", line 257, in iterencode + return _iterencode(o, 0) + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\core\serializers\json.py", line 105, in default + return super().default(o) + File "C:\Users\ASUS\anaconda3\lib\json\encoder.py", line 179, in default + raise TypeError(f'Object of type {o.__class__.__name__} ' +TypeError: Object of type ndarray is not JSON serializable +INFO:django.utils.autoreload:F:\imageprocess\imageProcess\basicFunction\views.py changed, reloading. +INFO:django.utils.autoreload:F:\imageprocess\imageProcess\basicFunction\views.py changed, reloading. +ERROR:django.request:Internal Server Error: /keying/ +Traceback (most recent call last): + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\core\handlers\exception.py", line 47, in inner + response = get_response(request) + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\core\handlers\base.py", line 181, in _get_response + response = wrapped_callback(request, *callback_args, **callback_kwargs) + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\views\decorators\http.py", line 40, in inner + return func(request, *args, **kwargs) + File "F:\imageprocess\imageProcess\basicFunction\views.py", line 127, in keying + rmbg.remove_background_from_base64_img(image,new_file_name="output.jpg",bg_color=(0,0,0)) + File "C:\Users\ASUS\anaconda3\lib\site-packages\removebg\removebg.py", line 72, in remove_background_from_base64_img + response.raise_for_status() + File "C:\Users\ASUS\anaconda3\lib\site-packages\requests\models.py", line 943, in raise_for_status + raise HTTPError(http_error_msg, response=self) +requests.exceptions.HTTPError: 400 Client Error: Bad Request for url: https://api.remove.bg/v1.0/removebg +ERROR:django.request:Internal Server Error: /keying/ +Traceback (most recent call last): + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\core\handlers\exception.py", line 47, in inner + response = get_response(request) + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\core\handlers\base.py", line 181, in _get_response + response = wrapped_callback(request, *callback_args, **callback_kwargs) + File "C:\Users\ASUS\anaconda3\lib\site-packages\django\views\decorators\http.py", line 40, in inner + return func(request, *args, **kwargs) + File "F:\imageprocess\imageProcess\basicFunction\views.py", line 127, in keying + rmbg.remove_background_from_base64_img(image,new_file_name="output.jpg",bg_color=(0,0,0)) + File "C:\Users\ASUS\anaconda3\lib\site-packages\removebg\removebg.py", line 72, in remove_background_from_base64_img + response.raise_for_status() + File "C:\Users\ASUS\anaconda3\lib\site-packages\requests\models.py", line 943, in raise_for_status + raise HTTPError(http_error_msg, response=self) +requests.exceptions.HTTPError: 400 Client Error: Bad Request for url: https://api.remove.bg/v1.0/removebg +INFO:django.utils.autoreload:F:\imageprocess\imageProcess\basicFunction\views.py changed, reloading. diff --git a/imageProcess/imageProcess/urls.py b/imageProcess/imageProcess/urls.py index 8a7f5169..502cbffb 100644 --- a/imageProcess/imageProcess/urls.py +++ b/imageProcess/imageProcess/urls.py @@ -3,13 +3,21 @@ from django.contrib import admin from django.urls import path from django.conf.urls import url import sys -sys.path.append("..") +sys.path.append("../") from basicFunction import views as basic_function_view - +from styleTransfer import views as style_transfer_view urlpatterns = [ path('admin/', admin.site.urls), path('show/', basic_function_view.getPicture), path('resize/', basic_function_view.resizePicture), path('mirror/', basic_function_view.mirrorPicture), path('rotate/', basic_function_view.rotatePicture), + path('keying/', basic_function_view.keying), + path('styleTransfer/', style_transfer_view.style_transfer), + path('smooth/', basic_function_view.smooth), + path('exposure/', basic_function_view.exposure), + path('sharpen/', basic_function_view.sharpen), + path('barCode/', basic_function_view.barCode), + path('removeNoise/', basic_function_view.removeNoise), + ] diff --git a/imageProcess/output.jpg b/imageProcess/output.jpg new file mode 100644 index 00000000..02627c35 Binary files /dev/null and b/imageProcess/output.jpg differ diff --git a/imageProcess/styleTransfer/constant.py b/imageProcess/styleTransfer/constant.py new file mode 100644 index 00000000..3708b2e5 --- /dev/null +++ b/imageProcess/styleTransfer/constant.py @@ -0,0 +1,36 @@ +#!/usr/bin/env python +# -*- coding: UTF-8 -*- +""" +Copyright (C) 2021. Huawei Technologies Co., Ltd. All rights reserved. + +This program is free software; you can redistribute it and/or modify +it under the terms of the Apache License Version 2.0.You may not use this file + +This program is distributed in the hope that it will be useful, +but WITHOUT ANY WARRANTY; without even the implied warranty of +MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +Apache License for more details at +http://www.apache.org/licenses/LICENSE-2.0 +""" + + +class Constant: + # error code + ACL_ERROR_NONE = 0 + + # rule for mem + ACL_MEM_MALLOC_HUGE_FIRST = 0 + ACL_MEM_MALLOC_HUGE_ONLY = 1 + ACL_MEM_MALLOC_NORMAL_ONLY = 2 + + # rule for memory copy + ACL_MEMCPY_HOST_TO_HOST = 0 + ACL_MEMCPY_HOST_TO_DEVICE = 1 + ACL_MEMCPY_DEVICE_TO_HOST = 2 + ACL_MEMCPY_DEVICE_TO_DEVICE = 3 + + # images format + IMG_EXT = ['.jpg', '.JPG', '.png', '.PNG', '.bmp', '.BMP', '.jpeg', '.JPEG'] + + # numpy data type + NPY_FLOAT32 = 11 diff --git a/imageProcess/styleTransfer/content/grape.jpg b/imageProcess/styleTransfer/content/grape.jpg new file mode 100644 index 00000000..36aa42b1 Binary files /dev/null and b/imageProcess/styleTransfer/content/grape.jpg differ diff --git a/imageProcess/styleTransfer/imagenet-vgg-verydeep-19.mat b/imageProcess/styleTransfer/imagenet-vgg-verydeep-19.mat new file mode 100644 index 00000000..b9f6ecd3 Binary files /dev/null and b/imageProcess/styleTransfer/imagenet-vgg-verydeep-19.mat differ diff --git a/imageProcess/styleTransfer/method.py b/imageProcess/styleTransfer/method.py new file mode 100644 index 00000000..c8e4e23b --- /dev/null +++ b/imageProcess/styleTransfer/method.py @@ -0,0 +1,135 @@ + + + +import numpy as np +import mindspore +# import moxing as mox +from mindspore import numpy +from PIL import Image +from mindspore import ops +import os +import cv2 as cv +import mindspore.dataset as ds +import mindspore.dataset.vision.c_transforms as c_version +import mindspore.dataset.vision.py_transforms as py_vision +from mindspore import Model, context, nn, Tensor, Parameter, load_checkpoint + + +def save_img(i, optimizer, output_path): + if not os.path.exists(output_path): + os.mkdir(output_path) + final_img = optimizer.parameters[0].asnumpy() + final_img = final_img.squeeze(axis=0) + final_img = np.moveaxis(final_img, 0, 2) + dump_img = np.copy(final_img) + dump_img += np.array([123.675, 116.28, 103.53]).reshape((1, 1, 3)) + dump_img = np.clip(dump_img, 0, 255).astype('uint8') + # dump_img = cv.resize(dump_img, (224, 224), interpolation=cv.INTER_CUBIC) + img_path = output_path+"/"+"iter_"+str(i)+".jpg" # imgput_path = ./output_path/content2_to_sty3/lr=0.5/iter_1 + cv.imwrite(img_path, dump_img[:, :, ::-1]) + # mox.file.copy_parallel(img_path, args.train_url+img_path[12:]) + + +def create_dataset(img): + """生成数据集""" + dataset = ds.NumpySlicesDataset(data=img, column_names=['data']) + return dataset + + +def gram_matrix(x, should_normalize=True): + """ + Generate gram matrices of the representations of content and style images. + """ + # 对网络的特征进行矩阵编码 + b, ch, h, w = x.shape # x的形状 + features = x.view(b, ch, w * h) # 将x降维 + transpose = ops.Transpose() + batmatmul = ops.BatchMatMul(transpose_a=False) + features_t = transpose(features, (0, 2, 1)) + gram = batmatmul(features, features_t) # gram 为矩阵相乘计算得新图片的像素 + if should_normalize: # 标准化 + gram /= ch * h * w + return gram + + +def load_image(img_path, target_shape=None): + # 图像预处理 返回 1 * 3 * 400 * x + if not os.path.exists(img_path): + raise Exception(f'Path not found: {img_path}') + img = cv.imread(img_path)[:, :, ::-1] # convert BGR to RGB when reading + if target_shape is not None: + if isinstance(target_shape, int) and target_shape != -1: + current_height, current_width = img.shape[:2] + new_height = target_shape + new_width = int(current_width * (new_height / current_height)) + img = cv.resize(img, (new_width, new_height), interpolation=cv.INTER_CUBIC) + else: + img = cv.resize(img, (target_shape[1], target_shape[0]), interpolation=cv.INTER_CUBIC) + img = img.astype(np.float32) + + to_tensor = py_vision.ToTensor() # channel conversion and pixel value normalization + normalize = c_version.Normalize(mean=[123.675, 116.28, 103.53], std=[1, 1, 1]) + img = normalize(img) # (400, 533, 3) + img = to_tensor(img) * 225 # (3, 400, 533) + img = np.expand_dims(img, axis=0) + # img /= 255 + # transform = transforms.Compose([ + # transforms.ToTensor(), + # transforms.Lambda(lambda x: x.mul(255)), # 乘255 + # transforms.Normalize(mean=[123.675, 116.28, 103.53], std=[1, 1, 1]) + # ]) + # img = transform(img).unsqueeze(0) + # img = img.numpy() + return img + + +class Optim_Loss(nn.Cell): + def __init__(self, net, target_maps): + super(Optim_Loss, self).__init__() + self.net = net + self.target_maps = target_maps[:-1] + self.weight = [100000.0, 30000.0, 1.0] + self.get_style_loss = nn.MSELoss(reduction='sum') + self.get_content_loss = nn.MSELoss(reduction='mean') + self.cast = ops.Cast() # 转换为 mindspore.tensor + self.ct = target_maps[2] + + def construct(self): + optimize_img = self.ct + current_maps = self.net(self.cast(optimize_img, mindspore.float32)) # 6个特征图 + # 当前图片的特征 + current_content_maps = current_maps[4].squeeze(axis=0) # 内容特征 # 4_2的内容map + for i in range(len(current_maps)): # 0, 1, 2, 3, 4, 5 1, 2, 3, 4, 4_2, 5 + if i != 4: + current_maps[i] = gram_matrix(current_maps[i]) + target_content_maps = self.target_maps[0] # 任务的内容特征 + target_content_gram = self.target_maps[1] # 任务的风格特征 + content_loss = self.get_content_loss(current_content_maps, target_content_maps) + style_loss = 0 + for j in range(6): + if j == 5: + style_loss += self.get_style_loss(current_maps[j], target_content_gram[j-1]) + if j < 4: + style_loss += self.get_style_loss(current_maps[j], target_content_gram[j]) + + style_loss /= 5 + tv_loss = numpy.sum(numpy.abs(optimize_img[:, :, :, :-1] - optimize_img[:, :, :, 1:])) \ + + numpy.sum(numpy.abs(optimize_img[:, :, :-1, :] - optimize_img[:, :, 1:, :])) + + total_loss = content_loss * self.weight[0] + style_loss * self.weight[1] + tv_loss * self.weight[2] + return total_loss/130001 + + +def load_parameters(file_name): + param_dict = load_checkpoint(file_name) + param_dict_new = {} + # print(param_dict) + for key, values in param_dict.items(): + if key.startswith('moments.'): + continue + elif key.startswith("layers."): + param_dict_new['l'+key[7:]] = values + else: + param_dict_new[key] = values + return param_dict_new + diff --git a/imageProcess/styleTransfer/models.py b/imageProcess/styleTransfer/models.py deleted file mode 100644 index 71a83623..00000000 --- a/imageProcess/styleTransfer/models.py +++ /dev/null @@ -1,3 +0,0 @@ -from django.db import models - -# Create your models here. diff --git a/imageProcess/styleTransfer/models/candy.t7 b/imageProcess/styleTransfer/models/candy.t7 new file mode 100644 index 00000000..69e37b1f Binary files /dev/null and b/imageProcess/styleTransfer/models/candy.t7 differ diff --git a/imageProcess/styleTransfer/models/la_muse.t7 b/imageProcess/styleTransfer/models/la_muse.t7 new file mode 100644 index 00000000..b8176a77 Binary files /dev/null and b/imageProcess/styleTransfer/models/la_muse.t7 differ diff --git a/imageProcess/styleTransfer/models/mosaic.t7 b/imageProcess/styleTransfer/models/mosaic.t7 new file mode 100644 index 00000000..44aa0a14 Binary files /dev/null and b/imageProcess/styleTransfer/models/mosaic.t7 differ diff --git a/imageProcess/styleTransfer/style/sty_fam.jpg b/imageProcess/styleTransfer/style/sty_fam.jpg new file mode 100644 index 00000000..b077581c Binary files /dev/null and b/imageProcess/styleTransfer/style/sty_fam.jpg differ diff --git a/imageProcess/styleTransfer/train.py b/imageProcess/styleTransfer/train.py new file mode 100644 index 00000000..971fcf9c --- /dev/null +++ b/imageProcess/styleTransfer/train.py @@ -0,0 +1,77 @@ +# coding=utf-8 +import os +# import moxing as mox +import numpy as np +import cv2 as cv +import mindspore +from mindspore import nn, Tensor, Parameter, context +from mindspore import load_checkpoint, load_param_into_net, save_checkpoint +from vgg import Vgg19 +from method import create_dataset, load_image, gram_matrix, Optim_Loss, save_img, load_parameters +# 设置为动态图模式 +import argparse +# parser = argparse.ArgumentParser(description='Training img transfer') +# parser.add_argument('--device_target', type=str, default="Ascend", choices=['Ascend', 'GPU', 'CPU']) +# parser.add_argument('--data_url', required=True, default=None) +# parser.add_argument('--train_url', required=True, default=None) +# # parser.add_argument("model_url", type=str, default=None, help="pretrained checkpoint file path of vgg.") +# args = parser.parse_known_args()[0] +# context.set_context(mode=context.GRAPH_MODE, device_target=args.device_target) + +# if not os.path.exists("./img_data"): +# os.mkdir("./img_data") +# mox.file.copy_parallel(args.data_url, "./img_data") +# +# if not os.path.exists('./output_img'): +# os.mkdir("./output_img") + +vgg = Vgg19() +param_dict = load_parameters("vgg19.ckpt") +print("ckpt load success") +load_param_into_net(vgg, param_dict) +print("param load success") +vgg.set_train(False) # 评估模式 + + +def load_img_ckpt(path): + return load_parameters(path) + + +def optimize_picture(content_path, style_path, iter_num, learning_rate, output_path, mode): + if mode == 0: + optimize_img = load_image(content_path, 400) + content_maps = vgg(Tensor(optimize_img)) + optimizing_param = Parameter(Tensor(optimize_img, mindspore.float32), "optimizing_img") + else: + optimize_img = load_img_ckpt(content_path)["img"] + content_maps = vgg(Tensor(optimize_img)) + optimizing_param = Parameter(Tensor(optimize_img, mindspore.float32), "optimizing_img") + style_img = load_image(style_path, 400) + # 特征图提取（6层） + content_maps = content_maps[4].squeeze(axis=0) # 内容图片vgg19提取的特征 + style_maps = list(vgg(Tensor(style_img))) # 风格图片的特征 + style_maps.pop(4) # 剔除掉不需要的map + style_gram = list(gram_matrix(x) for x in style_maps) + # 要优化的图片 + + num_of_iterations = iter_num + 1 # 迭代的次数 + loss_opt = Optim_Loss(vgg, [content_maps, style_gram, optimizing_param]) + cosine_decay_lr = nn.CosineDecayLR(0.05, 2.0, 2000) + optimizer_n = nn.Adam([optimizing_param], learning_rate=cosine_decay_lr) # 损失优化方法 + # optimizer = nn.Adam([optimizing_param], learning_rate=learning_rate) # 损失优化方法 + train_net = nn.TrainOneStepCell(loss_opt, optimizer_n) + train_net.set_train() + for i in range(num_of_iterations): + if i % 50 == 0: + save_img(i, optimizer_n, output_path) + loss = train_net() + print(str(content_path[-13:-4]) + "_to_" + str(style_path[-8:-4]) + ":iteration_", str(i), ": loss", loss) + final = optimizer_n.parameters + save_checkpoint([{"name": "img", "data": final[0]}], output_path+"/img_1.ckpt") + + +optimize_picture("output_img/iter_19/img.ckpt", + "transfer_img/trans_6/sty_fam_1.jpg", 2000, 0.05, "output_img/iter_19", 1) + +# img = cv.imread("transfer_img/trans_5/style_img.jpg")[:, :, ::-1] +# print(img.shape) diff --git a/imageProcess/styleTransfer/vgg.py b/imageProcess/styleTransfer/vgg.py new file mode 100644 index 00000000..ad00b3e2 --- /dev/null +++ b/imageProcess/styleTransfer/vgg.py @@ -0,0 +1,54 @@ + +from mindspore import load_checkpoint, load_param_into_net +from mindspore import nn, context + + +def load_parameters(file_name): + param_dict = load_checkpoint(file_name) + param_dict_new = {} + # print(param_dict) + for key, values in param_dict.items(): + if key.startswith('moments.'): + continue + elif key.startswith("layers."): + param_dict_new['l'+key[7:]] = values + else: + param_dict_new[key] = values + return param_dict_new + + +class Vgg19(nn.Cell): + def __init__(self): + super().__init__() + self.l0 = nn.Conv2d(3, 64, kernel_size=3, weight_init='ones') + self.l2 = nn.Conv2d(64, 64, kernel_size=3, weight_init='ones') + self.l5 = nn.Conv2d(64, 128, kernel_size=3, weight_init='ones') + self.l7 = nn.Conv2d(128, 128, kernel_size=3, weight_init='ones') + self.l10 = nn.Conv2d(128, 256, kernel_size=3, weight_init='ones') + self.l12 = nn.Conv2d(256, 256, kernel_size=3, weight_init='ones') + self.l14 = nn.Conv2d(256, 256, kernel_size=3, weight_init='ones') + self.l16 = nn.Conv2d(256, 256, kernel_size=3, weight_init='ones') + self.l19 = nn.Conv2d(256, 512, kernel_size=3, weight_init='ones') + self.l21 = nn.Conv2d(512, 512, kernel_size=3, weight_init='ones') + self.l23 = nn.Conv2d(512, 512, kernel_size=3, weight_init='ones') + self.l25 = nn.Conv2d(512, 512, kernel_size=3, weight_init='ones') + self.l28 = nn.Conv2d(512, 512, kernel_size=3, weight_init='ones') + self.l30 = nn.Conv2d(512, 512, kernel_size=3, weight_init='ones') + self.l32 = nn.Conv2d(512, 512, kernel_size=3, weight_init='ones') + self.l34 = nn.Conv2d(512, 512, kernel_size=3, weight_init='ones') + self.relu = nn.ReLU() + self.mp = nn.MaxPool2d(kernel_size=2, stride=2) + self.flatten = nn.Flatten() + + def construct(self, x): + layer_1 = self.relu(self.l0(x)) # 3-64 + layer_2 = self.relu(self.l5(self.mp(self.relu(self.l2(layer_1))))) + layer_3 = self.relu(self.l10(self.relu(self.l7(self.mp(layer_2))))) + layer_4 = self.relu(self.l19(self.mp(self.relu(self.l16(self.relu(self.l14(self.relu(self.l12(layer_3))))))))) + layer_4_2 = self.relu(self.l21(layer_4)) + layer_5 = self.relu(self.l28(self.mp(self.relu(self.l25(self.relu(self.l23(layer_4_2))))))) + return [layer_1, layer_2, layer_3, layer_4, layer_4_2, layer_5] + + + + diff --git a/imageProcess/styleTransfer/views.py b/imageProcess/styleTransfer/views.py index 91ea44a2..a950cf3b 100644 --- a/imageProcess/styleTransfer/views.py +++ b/imageProcess/styleTransfer/views.py @@ -1,3 +1,84 @@ -from django.shortcuts import render +import cv2 +import numpy as np +from django.http import JsonResponse +import base64 +import tensorflow +from django.views.decorators.http import require_POST + +def base64tocv(imagecode): + strList = str(imagecode).split(',') + b64_img = '' + for i in strList[1:]: + b64_img += i + imgString = base64.b64decode(b64_img) + nparr = np.fromstring(imgString, np.uint8) + image = cv2.imdecode(nparr, cv2.COLOR_RGB2BGR) + # image = cv2.imdecode(nparr, cv2.IMREAD_COLOR) + return image + +#ndarray 转 base64 +def getbase64byndarray(pic_img): + retval, buffer = cv2.imencode('.jpg', pic_img) + pic_str = base64.b64encode(buffer) + return pic_str.decode() + + +@require_POST +def style_transfer(request): + ''' + pathIn: 原始图片的路径 + pathOut: 风格化图片的保存路径 + model: 预训练模型的路径 + width: 设置风格化图片的宽度，默认为None, 即原始图片尺寸 + jpg_quality: 0-100，设置输出图片的质量，默认80，越大图片质量越好 + ''' + + ## 读入原始图片，调整图片至所需尺寸，然后获取图片的宽度和高度 + image = request.POST.get('files') + img = base64tocv(image) + (h, w) = img.shape[:2] + + ## 从本地加载预训练模型 + net = get_model_from_style(request.POST.get('style')) + + ## 将图片构建成一个blob：设置图片尺寸，将各通道像素值减去平均值（比如ImageNet所有训练样本各通道统计平均值） + ## 然后执行一次前馈网络计算，并输出计算所需的时间 + blob = cv2.dnn.blobFromImage(img, 1.0, (w, h), (103.939, 116.779, 123.680), swapRB=False, crop=False) + net.setInput(blob) + output = net.forward() + + ## reshape输出结果, 将减去的平均值加回来，并交换各颜色通道 + output = output.reshape((3, output.shape[2], output.shape[3])) + output[0] += 103.939 + output[1] += 116.779 + output[2] += 123.680 + output = output.transpose(1, 2, 0) + output=getbase64byndarray(output) + + return JsonResponse(data={"image": output, "height": h, "width": w}, + json_dumps_params={'ensure_ascii': False}) + + +model_base_dir = "F:\imageprocess\imageProcess\styleTransfer\models\\" +d_model_map = { + 0: "candy", + 1: "udnie", + 2: "la_muse", + 3: "the_scream", + 4: "mosaic", + 5: "feathers", + 6: "starry_night" +} + +def get_model_from_style(style): + """ + 加载指定风格的模型 + :param style: 模型编码 + :return: model + """ + style=int(style) + model_name = d_model_map[style] + model_path = model_base_dir + model_name + ".t7" + model = cv2.dnn.readNetFromTorch(model_path) + return model -# Create your views here. diff --git a/imageProcessFront/src/assets/R-C (1).jpg b/imageProcessFront/src/assets/R-C (1).jpg deleted file mode 100644 index edafa6ba..00000000 Binary files a/imageProcessFront/src/assets/R-C (1).jpg and /dev/null differ diff --git a/imageProcessFront/src/assets/R-C.jpg b/imageProcessFront/src/assets/R-C.jpg deleted file mode 100644 index e17e357b..00000000 Binary files a/imageProcessFront/src/assets/R-C.jpg and /dev/null differ diff --git a/imageProcessFront/src/assets/candy.png b/imageProcessFront/src/assets/candy.png new file mode 100644 index 00000000..8bac2c06 Binary files /dev/null and b/imageProcessFront/src/assets/candy.png differ diff --git a/imageProcessFront/src/assets/frc-838d60f8e2020f11751960d11e7714c7.jpeg b/imageProcessFront/src/assets/frc-838d60f8e2020f11751960d11e7714c7.jpeg deleted file mode 100644 index a66f7625..00000000 Binary files a/imageProcessFront/src/assets/frc-838d60f8e2020f11751960d11e7714c7.jpeg and /dev/null differ diff --git a/imageProcessFront/src/assets/la_muse.png b/imageProcessFront/src/assets/la_muse.png new file mode 100644 index 00000000..68ed37e7 Binary files /dev/null and b/imageProcessFront/src/assets/la_muse.png differ diff --git a/imageProcessFront/src/assets/mosaic.png b/imageProcessFront/src/assets/mosaic.png new file mode 100644 index 00000000..80b6ee54 Binary files /dev/null and b/imageProcessFront/src/assets/mosaic.png differ diff --git a/imageProcessFront/src/assets/starry_night.png b/imageProcessFront/src/assets/starry_night.png new file mode 100644 index 00000000..f641ea4e Binary files /dev/null and b/imageProcessFront/src/assets/starry_night.png differ diff --git a/imageProcessFront/src/assets/udnie.png b/imageProcessFront/src/assets/udnie.png new file mode 100644 index 00000000..7abc9010 Binary files /dev/null and b/imageProcessFront/src/assets/udnie.png differ diff --git a/imageProcessFront/src/views/Home.vue b/imageProcessFront/src/views/Home.vue index 4af79c7f..1f686b7e 100644 --- a/imageProcessFront/src/views/Home.vue +++ b/imageProcessFront/src/views/Home.vue @@ -1,6 +1,7 @@