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您好,使用你们提供的once.py划分ONCE数据集时出现了一些问题,在函数extract_data中, 跳过了训练集中车道线数大于8的样例,当test_mode为true时,会继续处理,但是在transform_annotation函数中,max_lanes=8 这意味着验证集中车道线数大于8时会导致越界,发生报错,这两处似乎有一些矛盾,请问您是如何处理的?
The text was updated successfully, but these errors were encountered:
函数extract_data似乎没有对test_mode为true,车道线数大于8时做对应的处理
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你好,因为在验证集上bench时并不会用到这里的pickle文件,而是使用了原始标注,所以这里验证集上车道线的数目是多少其实没有关系。不过为了避免运行时报错,我更新了一下tools/convert_datasets/once.py,当超过8条车道线时,只保留前8条。
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您好,使用你们提供的once.py划分ONCE数据集时出现了一些问题,在函数extract_data中,


跳过了训练集中车道线数大于8的样例,当test_mode为true时,会继续处理,但是在transform_annotation函数中,max_lanes=8
这意味着验证集中车道线数大于8时会导致越界,发生报错,这两处似乎有一些矛盾,请问您是如何处理的?
The text was updated successfully, but these errors were encountered: