read_video() 代码语言:txt 复制 import cv2 as cv # 调用笔记本内置镜头 cap = cv.VideoCapture(0, cv.CAP_DSHOW) while True: ret, frame = cap.read() frame = cv.flip(frame, 1) cv.imshow('video', frame) # 显示镜头捕获的每一帧 if cv.waitKey(100) & 0xff == ord('q'): # 按q退...
os.makedirs(folder_name, exist_ok=True) vc = cv2.VideoCapture(video_path + video_name) # 读入视频文件 c = 1 if vc.isOpened(): # 判断是否正常打开 rval, frame = vc.read() else: rval = False timeF = 300 # 视频帧计数间隔频率 while rval: # 循环读取视频帧 rval, frame = vc.read(...
defvideo_demo():#0是代表摄像头编号,只有一个的话默认为0capture=cv.VideoCapture(0)while(True):ref,frame=capture.read()cv.imshow("1",frame)# 等待30ms显示图像,若过程中按“Esc”退出 c=cv.waitKey(30)&0xffifc==27:capture.release()breakvideo_demo()cv.waitKey()cv.destroyAllWindows() 代码...
cv2.namedWindow('video', cv2.WINDOW_NORMAL); cv2.resizeWindow('video', 640, 480); # 获取视频设备 cap = cv2.VideoCapture(0); while True: # 从摄像头读取视频帧 ret, frame = cap.read(); # 将视频帧在窗口中显示 cv2.imshow('video', frame); # 等待键盘事件,如果q,退出 waitKey(1)帧率越...
if videoc.isOpened(): open, frame = videoc.read() else: open = False # 逐帧显示实现视频播放 while open: ret, frame = videoc.read() # 读取 if frame is None: break if ret == True: gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) ...
// get total number of video frames int num_frames = int(capture.get(CAP_PROP_FRAME_COUNT)); 2.读取第一帧 由于算法的特殊性,该算法使用两帧进行计算,因此我们需要先读取第一帧,然后再继续。还需要一些预处理,例如调整大小并转换为灰度: // read the first frame ...
video_capture = cv2.VideoCapture(0)flag = 0while True:ret, frame = video_capture.read() gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) rects = face_detect(gray, 1) for (i, rect) in enumerate(rects): (x, y, w, h) = face_utils.rect_to_bb(rect) cv2.rectangle(frame, (x, ...
std::cout<<"Read video Failed !"<<std::endl;return0; } cv::Mat frame; cv::namedWindow("video test");intframe_num =800;for(inti =0; i < frame_num -1; ++i) { capture>>frame;//capture.read(frame);imshow("video test", frame);if(cv::waitKey(30) =='q') ...
le = pickle.loads(open(args["le"], "rb").read()) # initialize the video stream and allow the camera sensor to warmup print("[INFO] starting video stream...") vs = VideoStream(src=0).start() time.sleep(2.0) 在第27-30 行加载 OpenCV 的人脸检测器。 在此基础上,我们加载了序列化...
VideoReadWriteDisplay VideoStabilization Vision_Transformer_PyTorch WarpTriangle WeChat-QRCode-Scanner-OpenCV Weighted-Boxes-Fusion-in-Object-Detection What-is-EXIF-Data-in-Images XeusCling YOLO-Loss-Functions-Part1 YOLO-Loss-Functions-Part2 YOLO-NAS-Pose YOLO-NAS_Introduction YOLO11...