open-mmlab/mmaction2
"prec@top5": 0.2,为什么一直都是0.2，不应该靠近1？？还有日志中只有recall@top3、prec@top3、recall@prec@top5。我该怎么做才能获得 ACC（top1\top5） [Bug]
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#2,624 opened on 2023/08/03
help wanted
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説明
Branch
main branch (1.x version, such as v1.0.0, or dev-1.x branch)
Prerequisite
- I have searched Issues and Discussions but cannot get the expected help.
- I have read the documentation but cannot get the expected help.
- The bug has not been fixed in the latest version.
Environment
cuda11.3 py3.8
Describe the bug
第一个问题：日志中只有recall@top3、prec@top3、recall@prec@top5。我该怎么做才能获得 ACC（top1\top5） 第二个问题：{"mode": "train", "epoch": 5, "iter": 460, "lr": 0.0084, "memory": 3772, "data_time": 1.31733, "recall@thr=0.5": 0.66107, "prec@thr=0.5": 0.64927, "recall@top1": 0.7646, "prec@top1": 0.7646, "recall@top5": 1.0, "prec@top5": 0.2, "loss_action_cls": 0.23607, "loss": 0.23607, "grad_norm": 0.98712, "time": 1.8695} "prec@top5": 0.2,为什么一直都是0.2，不应该靠近1？？
Reproduces the problem - code sample
正常训练，就是训练结果不理想
Reproduces the problem - command or script
正常训练，就是训练结果不理想
Reproduces the problem - error message
正常训练，就是训练结果不理想
Additional information
正常训练，就是训练结果不理想。在标注框时官方提供是fastrcnn，我用的是2023最新的grouonddino并且成功制作了ava数据集，model = dict( type='FastRCNN', backbone=dict( type='ResNet3dSlowFast', 难道训练也要后期配置也要用grouonddino？？