descriptor_ucf.py 文件源码

def create_tensor(file1,mean_array):
    video_1 = cv2.VideoCapture(file1)
    len_1 = int(video_1.get(cv2.cv.CV_CAP_PROP_FRAME_COUNT))

    tensor_1 = np.zeros([3,len_1,112,112])
    count = 0
    ret = True
    while True:
    ret, frame_1 = video_1.read()
        if frame_1 is not None:
        tensor_1[:,count,:,:] = np.swapaxes(cv2.resize(cropImg(frame_1),(112,112)),0,2) - mean_array
            count = count+1
        print count 
    else:
        break
    tensor = tensor_1[:,:count,:,:]
    return tensor