MMaction处理自己的类UCF101数据集_ucf101数据集处理-优快云博客

本文链接：https://blog.youkuaiyun.com/lcrdadas/article/details/134715038

本文档介绍了如何在`parse_file_list.py`中添加`parse_myucf101_splits`方法，以处理myucf101数据集的训练和测试列表，通过`classIndex.txt`映射类别和文件名调整。

摘要生成于 C知道，由 DeepSeek-R1 满血版支持，前往体验 >

在parse_file_list.py文件中加入parse_myucf101_splits方法，类似其中的parse_ucf101_splits方法，只需修改对应的文件路径：

def parse_myucf101_splits(level):
    class_index_file = 'data/myucf101/txt/classInd.txt'
    train_file_template = 'data/myucf101/txt/trainlist.txt'
    test_file_template = 'data/myucf101/txt/testlist.txt'

    with open(class_index_file, 'r') as fin:
        class_index = [x.strip().split() for x in fin]
    class_mapping = {x[1]: int(x[0]) - 1 for x in class_index}

	def line_to_map(line):
        items = line.strip().split()
        video = osp.splitext(items[0])[0]
        if level == 1:
            video = osp.basename(video)
            label = items[0]
        elif level == 2:
            video = osp.join(
                osp.basename(osp.dirname(video)), osp.basename(video))
            label = class_mapping[osp.dirname(items[0])]
        return video, label

	splits = []
    for i in range(1, 4):
        with open(train_file_template.format(i), 'r') as fin:
            train_list = [line_to_map(x) for x in fin]

        with open(test_file_template.format(i), 'r') as fin:
            test_list = [line_to_map(x) for x in fin]
        splits.append((train_list, test_list))

    return splits