diff --git a/06检测多个.py b/06检测多个.py
new file mode 100644
index 0000000..7dd9509
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+++ b/06检测多个.py
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+#导入cv模块
+import cv2 as cv
+#检测函数
+def face_detect_demo():
+    #将图片转换为灰度图片
+    gary = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
+    #自带的分类器
+    face_detect = cv.CascadeClassifier('D:/PyCharm 2024.1.1/opencv/sources/data/haarcascades/haarcascade_frontalface_default.xml')
+    face = face_detect.detectMultiScale(gary,1.1,5,0,(10,10),(300,300))
+    for (x,y,w,h) in face:
+        cv.rectangle(img,(x,y),(x+w,y+h),color = (0,0,255),thickness = 2)
+    # 显示图像
+    cv.imshow("Demo", img)
+#读入图像
+img = cv.imread("pic/img13.jpg")
+#窗口名字
+cv.namedWindow("Demo",0)
+#规定图片大小
+cv.resizeWindow("Demo",600,600)
+#图片位置坐标
+cv.moveWindow("Demo",300,150)
+#调用检测函数
+face_detect_demo()
+
+#等待
+while True:
+    if ord('q') == cv.waitKey(0):
+        break
+#>0 等待delay毫秒 =0 无限等待 <0 等待键盘单击
+#释放内存
+cv.destroyAllWindows() #删除所以窗口
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diff --git a/07 视频检测.py b/07 视频检测.py
new file mode 100644
index 0000000..df65b13
--- /dev/null
+++ b/07 视频检测.py	
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+#导入cv模块
+import cv2 as cv
+#检测函数
+def face_detect_demo(img):
+    #将图片转换为灰度图片
+    gary = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
+    #自带的分类器
+    face_detect = cv.CascadeClassifier('D:/PyCharm 2024.1.1/opencv/sources/data/haarcascades/haarcascade_frontalface_default.xml')
+    face = face_detect.detectMultiScale(gary)
+    for (x,y,w,h) in face:
+        cv.rectangle(img,(x,y),(x+w,y+h),color=(0,0,255),thickness=2)
+    # 显示图像
+    cv.imshow('result', img)
+
+#读取摄像头
+#cap = cv.VideoCapture(0)
+cap = cv.VideoCapture("output/1.mp4")
+
+#循环
+#等待
+while True:
+    flag,frame = cap.read()
+    if not flag:
+        break
+    face_detect_demo(frame)
+    if ord('q') == cv.waitKey(0):
+        break
+#>0 等待delay毫秒 =0 无限等待 <0 等待键盘单击
+#释放内存
+cv.destroyAllWindows() #删除所以窗口
+cap.release()
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