= IENetwork(model=model_xml, weights=model_bin)
# 获取输入输出层
input_blob = next(iter(net.inputs))
out_blob...n, c, h, w = net.inputs[input_blob].shape
del net
# 开始视频文件或者摄像头
cap = cv2.VideoCapture("D:/images/video...[cur_request_id].wait(-1) == 0:
# 解析mask输出
res = exec_net.requests[cur_request_id].outputs[out_blob...]
# 降维
res = np.squeeze(res, 0)
# 矩阵转置
res = res.transpose((1, 2, 0))
# 获取类别 index...), 1)
cv2.putText(frame, render_time_message, (15, 30), cv2.FONT_HERSHEY_COMPLEX, 0.5, (10, 10, 200