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You said you trained the backbone(HRNet, ResNet) with detection and 2dpose datasets on here(https://github.com/Arthur151/ROMP/issues/121#issuecomment-1026449589)
Then could you tell me exactly whic…
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Hallo Team,
I was training the hrnet model and trying to improve the accuracy of model since trained the model too many times and it may lead to overfitting.
I would like to know if there is a …
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Hello,
I am currently trying to run the single-scale testing code of HRNet using the following command:
python tools/valid.py \
--cfg experiments/coco/higher_hrnet/w32_512_adam_lr1e-3.yaml \
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I am using HRNet_w32 pretrained model for my project. The size of the pretrained model is around 110 MB. But when I load the model (with init_detector()), The memory consumption was much higher (More …
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Hi. Thanks your work. Could you show me your training log? I can't reproduce paper's results.
This is my log file and yaml file. I only change the batch-size to 48 because of my memory. Anything else…
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When run 'python tools/dist_train.py \
--cfg experiments/coco/higher_hrnet/w32_512_adam_lr1e-3.yaml', This error occurred:ModuleNotFoundError: No module named 'utils'
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Hi Developers,
The problem I'm facing is that, I cannot export a batch size 4 model in ONNX because it will exceed the 2 GB proto buffer limit, so I can only export an ONNX with batchsize =1 (which…
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Thank you very much for sharing the code.
I used the pretrained backbone (trained_models/pretrain_hrnet.py) you provided, but found that the result is not ideal, worse than train from scratch, here …