Ejemplo n.º 1
0
def remove_head_tail_frames(root, recycle_bin=None, num=0):
    '''
    remove num hean&tail frames from videos
    params:
        root: the dir of files that need to be processed
        recycle_bin: the removed frames will be put here
            defalut: None, that is putting the removed frames in root/_recycle_bin
        num: the number of frames to be removed
    '''
    if recycle_bin is None:
        recycle_bin = os.path.join(root, '_recycle_bin')
    handle_dir(recycle_bin)

    video_list = listdir(root)
    for v in video_list:
        img_list = sorted(glob_match(os.path.join(root, v, "*")))
        handle_dir(os.path.join(recycle_bin, v))
        for i in range(num):
            src = img_list[i]
            dest = os.path.join(recycle_bin, v, os.path.basename(src))
            move_file(src, dest)

            src = img_list[-(i + 1)]
            dest = os.path.join(recycle_bin, v, os.path.basename(src))
            move_file(src, dest)
Ejemplo n.º 2
0
def extra_files_by_postfix(ori_root,
                           dest_root,
                           match_postfix='',
                           new_postfix=None,
                           match_ext='*'):
    '''
    extra files from ori_root to dest_root by match_postfix and match_ext
    params:
        ori_root: the dir of files that need to be processed
        dest_root: the dir for saving matched files
        match_postfix: the postfix to be matched
        new_postfix: the postfix for matched files
            default: None, that is keeping the ori postfix
        match_ext: the ext to be matched
    '''
    if new_postfix is None:
        new_postfix = match_postfix

    handle_dir(dest_root)
    flag_img_list = glob_match(
        os.path.join(ori_root, "*{}.{}".format(match_postfix, match_ext)))
    for im in flag_img_list:
        fname, ext = get_fname_ext(im)
        dest_basename = '{}{}.{}'.format(fname[-len(match_postfix):],
                                         new_postfix, ext)
        src = im
        dst = os.path.join(dest_root, dest_basename)
        copy_file(src, dst)
Ejemplo n.º 3
0
def batch_combine_img(ori_root, dest_root, padding=10):
    '''
    function:
        combining many patches to image
        it can be used to combine patches to image, when you finish inferring large image with cropped patches
    params:
        ori_root: the dir of images that need to be processed
        dest_root: the dir to save processed images
        padding: the padding size of each patch
    notice:
        filenames should not contain the character "-" except for the crop flag
        the crop flag "x-x-x-x" should be at the end of filename when combining
    '''
    handle_dir(dest_root)
    images_fname = [
        fn[:-(len(fn.split('_')[-1]) + 1)] for fn in listdir(ori_root)
    ]
    images_fname = list(set(images_fname))
    for imf in images_fname:
        croped_imgs_path = sorted(
            glob_match(os.path.join(ori_root, "{}*".format(imf))))
        croped_imgs = {}
        for cip in croped_imgs_path:
            img = cv2.imread(cip)
            k = cip.split('.')[0].split('_')[-1]
            croped_imgs[k] = img
        img_combined = combine_img(croped_imgs, padding=padding)
        cv2.imwrite(os.path.join(dest_root, "{}.png".format(imf)),
                    img_combined)
        print("{}.png".format(imf), "combine done !")
Ejemplo n.º 4
0
def add_files_postfix(root, postfix=''):
    '''
    add postfix to filename
    params:
        root: the dir of files that need to be processed
        postfix: the postfix to be added
    '''
    img_list = glob_match(os.path.join(root, "*"))
    for im in img_list:
        fname, ext = get_fname_ext(im)
        dest_basename = "{}{}.{}".format(fname, postfix, ext)
        src = im
        dst = os.path.join(root, dest_basename)
        rename_file(src, dst)
Ejemplo n.º 5
0
def resort_files_index(root, template='{:0>4}', start_idx=0):
    '''
    resort files' filename using template that index start from start_idx
    params:
        root: the dir of files that need to be processed
        template: the template for processed filename
        start_idx: the start index
    '''
    template = template + '.{}'
    img_list = sorted(glob_match(os.path.join(root, "*")))
    for i, im in enumerate(img_list):
        fname, ext = get_fname_ext(im)
        dest_basename = template.format(i + start_idx, ext)
        src = im
        dst = os.path.join(root, dest_basename)
        rename_file(src, dst)
Ejemplo n.º 6
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def remove_files_prefix(root, prefix=''):
    '''
    remove prefix from filename
    params:
        root: the dir of files that need to be processed
        prefix: the prefix to be removed
    '''
    img_list = glob_match(os.path.join(root, "*"))
    for im in img_list:
        basename = os.path.basename(im)
        now_prefix = basename[:len(prefix)]
        if now_prefix == prefix:
            dest_basename = basename[len(prefix):]
            src = im
            dst = os.path.join(root, dest_basename)
            rename_file(src, dst)
Ejemplo n.º 7
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def remove_files_postfix(root, postfix=''):
    '''
    remove postfix from filename
    params:
        root: the dir of files that need to be processed
        postfix: the postfix to be removed
    '''
    img_list = glob_match(os.path.join(root, "*"))
    for im in img_list:
        fname, ext = get_fname_ext(im)
        now_postfix = fname[-len(postfix):]
        if now_postfix == postfix:
            dest_basename = "{}.{}".format(fname[:-len(postfix)], ext)
            src = im
            dst = os.path.join(root, dest_basename)
            rename_file(src, dst)
Ejemplo n.º 8
0
def save_flow_pt2mat(ori_root, dest_root):
    '''
    把 ori_root 中视频的 flow 从 pt 文件转换为 mat 文件后保存到 dest_root
    保存在 pt 文件中的 flow 的 shape=[1, 2, h, w]
    '''
    handle_dir(dest_root)
    video_list = listdir(ori_root)
    for v in video_list:
        handle_dir(os.path.join(dest_root, v))
        file_list = glob_match(os.path.join(ori_root, v, "*.pt"))
        for pt_path in file_list:
            fname, ext = get_fname_ext(pt_path)
            mat_path = os.path.join(dest_root, v, "{}.mat".format(fname))
            try:
                flow = torch.load(pt_path)[0].permute(1, 2, 0).cpu().numpy()
                flow_dict = {'flow': flow}
                scio.savemat(mat_path, flow_dict)
                print('save {} to {}'.format(pt_path, mat_path))
            except:
                print('skip file {}'.format(pt_path))