python-3.x - 如何使用OpenCV读取文件夹中的第一张图像(Python)

我正在使用以下代码来读取和计算文件夹中连续图像之间的差异:

def cal_for_frames(video_path):
    frames = glob(os.path.join(video_path, '*.jpg'))
    frames.sort()


    diff = []
    prev = cv2.imread(frames[0])
    prev = cv2.cvtColor(prev, cv2.COLOR_BGR2GRAY)
    print(prev.dtype, prev.shape)
    for i, frame_curr in enumerate(frames):
        curr = cv2.imread(frame_curr)
        curr = cv2.cvtColor(curr, cv2.COLOR_BGR2GRAY)
        print(curr.dtype, curr.shape)
        tmp_diff = compute_DIFF(prev, curr)
        diff.append(tmp_diff)
        prev = curr

    return diff

现在我希望prev始终是文件夹中的第一张图片(即保持不变)。为此，我需要对prev = cv2.imread(frames[0])进行哪些更改？其中frame000001是文件夹中的第一张图像。

最佳答案

只需删除for-loop的最后一行:prev = curr和prev = cv2.imread(frames[0])即可。
但是您可以加快for-loop的速度。如果print函数不是至关重要的，则可以执行以下操作:

diff = [compute_DIFF(prev, cv2.cvtColor(cv2.imread(frame_curr), cv2.COLOR_BGR2GRAY)) for i, frame_curr in enumerate(frames)]

码:

def cal_for_frames(video_path):
    frames = glob(os.path.join(video_path, '*.jpg')).sort()
    prev = cv2.cvtColor(cv2.imread(frames[0]), cv2.COLOR_BGR2GRAY)
    print(prev.dtype, prev.shape)

    diff = [compute_DIFF(prev, cv2.cvtColor(cv2.imread(frame_curr), cv2.COLOR_BGR2GRAY)) for i, frame_curr in enumerate(frames)]

    return diff

关于python-3.x - 如何使用OpenCV读取文件夹中的第一张图像(Python)，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/64611642/