Lite-HRNet
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This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network.
您好,我测试您的模型18——256×192的模型得到的和您论文的结果不一样,我测试的结果是AP=64.4,论文是AP = 64.8。不知道我哪里出问题,而且我训练的到结果更低63.3,我是单卡2080ti
When I tried to download the MPII converted json files following error orrcurs: ``` This XML file does not appear to have any style information associated with it. The document...
who can help to solve this error,Thanks!
Hi This is awesome lightweight networks!! I want to test it on other mobile device. Could you provide ONNX format exporting code? Thanks a lot!!
Hi, thank you so much for your excellent work. Based on your research on lightweight high resolution networks, we have done some further exploratory studies. Our paper was accepted by...
how to convert to onnx, I meet the problem, assert target.dim() == 4 and target_weight.dim() == 3 AttributeError: 'NoneType' object has no attribute 'dim' code: model = build_posenet(cfg.model) load_checkpoint(model, args.checkpoint,...
there is a problem KeyError: 'LiteHRNet is already registered in models' how to solve it thanks
Traceback (most recent call last): File "./tools/train.py", line 166, in main() File "./tools/train.py", line 155, in main train_model( File "/mnt/DATA/AI/project/Lite-HRNet-hrnet/venv/lib/python3.8/site-packages/mmpose/apis/train.py", line 200, in train_model runner.run(data_loaders, cfg.workflow, cfg.total_epochs) File "/mnt/DATA/AI/project/Lite-HRNet-hrnet/venv/lib/python3.8/site-packages/mmcv/runner/epoch_based_runner.py", line...
 how to solve this problem,thank you very much!