Make lmdb from images. Contents of lmdb. The file structure is: example.lmdb ├── data.mdb ├── lock.mdb ├── meta_info.txt The

Make lmdb from images. Contents of lmdb. The file structure is: example.lmdb ├── data.mdb ├── lock.mdb ├── meta_info.txt The

Prepare image path list and keys for DIV2K dataset. Args: folder_path (str): Folder path. Returns: list[str]: Image path lis

Prepare image path list and keys for DIV2K dataset. Args: folder_path (str): Folder path. Returns: list[str]: Image path lis

Reorder images to 'HWC' order. If the input_order is (h, w), return (h, w, 1); If the input_order is (c, h, w), return (h, w, c); If the

Reorder images to 'HWC' order. If the input_order is (h, w), return (h, w, 1); If the input_order is (c, h, w), return (h, w, c); If the

Change to Y channel of YCbCr. Args: img (ndarray): Images with range [0, 255]. Returns: (ndarray): Images with range [0, 255

Change to Y channel of YCbCr. Args: img (ndarray): Images with range [0, 255]. Returns: (ndarray): Images with range [0, 255

Convert the type and range of the input image. It converts the input image to np.float32 type and range of [0, 1]. It is mainly used for pre-

Convert the type and range of the input image. It converts the input image to np.float32 type and range of [0, 1]. It is mainly used for pre-

Convert the type and range of the image according to dst_type. It converts the image to desired type and range. If `dst_type` is np.uint8, im

Convert the type and range of the image according to dst_type. It converts the image to desired type and range. If `dst_type` is np.uint8, im

Extract the core ID from a filename by removing extensions and common suffixes.

Calculate weights and indices, used for imresize function. Args: in_length (int): Input length. out_length (int): Output length.

Calculate weights and indices, used for imresize function. Args: in_length (int): Input length. out_length (int): Output length.

cubic function used for calculate_weights_indices.

cubic function used for calculate_weights_indices.

Estimate AGGD (Asymmetric Generalized Gaussian Distribution) paramters. Args: block (ndarray): 2D Image block. Returns: tupl

Estimate AGGD (Asymmetric Generalized Gaussian Distribution) paramters. Args: block (ndarray): 2D Image block. Returns: tupl

Extract the numeric part from a filename. Example: "1P0A0917.png" -> 917

提取文件名主干（去掉后缀和_dehazed标识）

提取文件名主干（去掉后缀和_dehazed标识）

Write image to file. Args: img (ndarray): Image array to be written. file_path (str): Image file path. params (None or li

Write image to file. Args: img (ndarray): Image array to be written. file_path (str): Image file path. params (None or li

用Pillow读取图片并强制转为3维RGB数组（H, W, 3），增强维度校验

Load an image and convert to RGB numpy array (uint8).

用Pillow读取图片并强制转为3维RGB数组（H, W, 3），增强维度校验

读取图片并转为 (1, C, H, W) 的 Tensor，范围 [0, 1]，RGB顺序

mkdirs. If path exists, rename it with timestamp and create a new one. Args: path (str): Folder path.

mkdirs. If path exists, rename it with timestamp and create a new one. Args: path (str): Folder path.

Support OrderedDict for yaml. Returns: yaml Loader and Dumper.

Support OrderedDict for yaml. Returns: yaml Loader and Dumper.

Scan a directory to find the interested files. Args: dir_path (str): Path of the directory. suffix (str | tuple(str), optional):

Scan a directory to find the interested files. Args: dir_path (str): Path of the directory. suffix (str | tuple(str), optional):

Get human readable file size. Args: size (int): File size. suffix (str): Suffix. Default: 'B'. Return: str: Formated

Get human readable file size. Args: size (int): File size. suffix (str): Suffix. Default: 'B'. Return: str: Formated

Initialize slurm distributed training environment. If argument ``port`` is not specified, then the master port will be system environment var

Initialize slurm distributed training environment. If argument ``port`` is not specified, then the master port will be system environment var