add video recognition #256
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Cathy0908
reviewed
Jan 5, 2023
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| _base_ = '../../base.py' | |||
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clipbert.py的配置看起来也是multilabel? 两个配置文件的具体区别是？
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clipbert中的multi_class参数没有用到，默认是false，已改成fasle
| @@ -0,0 +1,146 @@ | |||
| _base_ = '../../base.py' | |||
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这三个video_swin的配置，通用部分可以复用，基于其中一个配置改写，同下面的x3d配置
| @@ -147,4 +147,97 @@ def _evaluate_impl(self, predictions, gt_labels): | |||
| return eval_res | |||
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| @EVALUATORS.register_module | |||
| class MultiClsEvaluator(Evaluator): | |||
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MultiCls 怎么理解？multi label？命名改下吧
| target.shape, 'pred and target should be in the same shape.' | ||
| num_classes = pred.shape[1] | ||
| ap = np.zeros(num_classes) | ||
| f = open('res.txt', 'w') |
| for line in fin: | ||
| line_split = line.strip().split(self.split) | ||
| if self.multi_class: | ||
| assert self.num_classes is not None |
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label支持下string类型，num_classes是否可以从ann_file中获取而不需要用户填写
| return repr_str | ||
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| def to_tensor(data): |
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接口已存在：easycv/datasets/shared/pipelines/format.py
| idx, traceback.format_exc())) | ||
| data_dict = None | ||
| if data_dict is None: | ||
| return self.__getitem__(np.random.randint(self.__len__())) |
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return self[np.random.randint(len(self))]
| @@ -0,0 +1,582 @@ | |||
| # flake8: noqa | |||
| @@ -0,0 +1,732 @@ | |||
| from functools import lru_cache, reduce | |||
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| import math | |||
Cathy0908
approved these changes
Jan 10, 2023
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