pytorch-image-models/timm/data/readers/class_map.py

import os
import pickle


def load_class_map(map_or_filename, root=''):
    if isinstance(map_or_filename, dict):
        assert dict, 'class_map dict must be non-empty'
        return map_or_filename
    class_map_path = map_or_filename
    if not os.path.exists(class_map_path):
        class_map_path = os.path.join(root, class_map_path)
        assert os.path.exists(class_map_path), 'Cannot locate specified class map file (%s)' % map_or_filename
    class_map_ext = os.path.splitext(map_or_filename)[-1].lower()
    if class_map_ext == '.txt':
        with open(class_map_path) as f:
            class_to_idx = {v.strip(): k for k, v in enumerate(f)}
    elif class_map_ext == '.pkl':
        with open(class_map_path, 'rb') as f:
            class_to_idx = pickle.load(f)
    else:
        assert False, f'Unsupported class map file extension ({class_map_ext}).'
    return class_to_idx