[h264 @ 000000000ef76940] cabac decode of qscale diff failed at 84 17
[h264 @ 000000000ef76940] error while decoding MB 84 17, bytestream 507ffmpeg
ffmpeg解码h264流出错,由于FFMPEG Lib对在rtsp协议中的H264 videos不支持,最挫的方法是设置IPC编码
另一种方法是再启一个线程接收,
q = queue.Queue() stopFlagQueue=queue.Queue() stopFlag = True def Receive(): print("start Reveive") cap = cv2.VideoCapture(url) ret, frame = cap.read() q.put(frame) i=1 while ret: ret, frame = cap.read() if i>1000: i=0 if i % 2==0: q.put(frame) i=i+1 print(i) timePaser.nowTime() # 进程间通信的手段之一 if stopFlagQueue.empty() != True: break def Display(): print("Start Displaying") classfier = cv2.CascadeClassifier("haarcascade_frontalface_default.xml") color = (0, 255, 0) while True: if q.empty() != True: frame = q.get() grey = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) # 4人脸检测,1.2和2分别为图片缩放比例和需要检测的有效点数 faceRects = classfier.detectMultiScale(grey, scaleFactor=1.2, minNeighbors=3, minSize=(32, 32)) if len(faceRects) > 0: # 大于0则检测到人脸 # print("检测到人脸") for faceRect in faceRects: # 单独框出每一张人脸 x, y, w, h = faceRect # 5画图 cv2.rectangle(frame, (x - 10, y - 10), (x + w + 10, y + h + 10), color, 3) cv2.imshow("Face Recognition", frame) if cv2.waitKey(1) & 0xFF == ord('q'): stopFlagQueue.put(False) break def run(): p1 = threading.Thread(target=Receive) p2 = threading.Thread(target=Display) p1.start() p2.start() # Receive作为接收数据线程 # 参考:https: // blog.csdn.net / darkeyers / article / details / 84865363 if __name__ == "__main__": # 人脸识别器分类器 run()
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