import cv2

"""
    使用OpenCV截取圖片
"""
def search(path):
    left = 1024
    right = 0
    upper = 768
    lower = 0
    img = cv2.imread(path)[:,:,0]
    # print(img.shape)
    for i in range(768):
        for j in range(1024):
            if img[i,j] != 0 :
                # print(img[i,j])
                left = min(j,left)
                right = max(j,right)
                lower = max(i,lower)
                upper =  min(i,upper)
    return (left,upper,right,lower)

def image_cut_save(path, left, upper, right, lower, save_path):
    """
        所截區(qū)域圖片保存
    :param path: 圖片路徑
    :param left: 區(qū)塊左上角位置的像素點(diǎn)離圖片左邊界的距離
    :param upper：區(qū)塊左上角位置的像素點(diǎn)離圖片上邊界的距離
    :param right：區(qū)塊右下角位置的像素點(diǎn)離圖片左邊界的距離
    :param lower：區(qū)塊右下角位置的像素點(diǎn)離圖片上邊界的距離
     故需滿足：lower > upper、right > left
    :param save_path: 所截圖片保存位置
    """
    img = cv2.imread(path)  # 打開(kāi)圖像
    cropped = img[upper:lower, left:right]
    # 保存截取的圖片
    cv2.imwrite(save_path, cropped)


if __name__ == '__main__':
    root_path = r'原圖片的路徑'
    save_path = r'裁剪后的圖片保存的路徑'
    images = os.listdir(root_path)
    for image in images:
        # print(image)
        pic_path = os.path.join(root_path,image)
        # print(pic_path)
        pic_save_dir_path = os.path.join(save_path,image)
        print(pic_save_dir_path)
        left, upper, right, lower = search(pic_path)
        # show_cut(pic_path, left, upper, right, lower)
        image_cut_save(pic_path, left, upper, right, lower, pic_save_dir_path)