Nevermore

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> I met with some problems when add your proposed imitation loss to faster rcnn with fpn, I assign gt in this way: one a certain level, for a gt...

I try to use res50 based FPN to teach res18 based FPN, but the mAP is not so good. Is that normal?

Hi, Is there any new progress on this result? The ViP_s7 got the 85.16 ImageNet top-1 or Real top-1?

如果要用KD的话,应该是 ```python tools/train_kd.py```

感谢@ruiningTang 的回复,因为我在mmcv/runner 下面加了个runner_kd.py 所以直接pip install mmcv是没有我自己加的那个.py的 所以会import error。是我没写清楚“从source编译的含义”,就是clone下来之后把runner_kd.py放进去一起编译就行了。

用```python -m torch.distributed.launch --nproc_per_node=8 tools/train.py```这个代码训练也会报这个错吗

这个是mmdetection留下的接口,我没删掉,没其他的目的。

这个可以根据[MMDetection](https://github.com/open-mmlab/mmdetection/tree/master/configs/faster_rcnn)的直接训出来,很稳定基本是37.4,也可以用train.py直接训一个faster-rcnn,我的.pth太久远了不知道还能不能找得到。

Sorry, I can't find the training logs now. I think the loss weight (λ) should be 4 and 16 for the foreground and background, and I use KD for backbone...

这个问题是依赖包mmcv没安装好,可以参考[MMDet官方github](https://github.com/open-mmlab/mmdetection/blob/master/docs/get_started.md)。