HRNet-Image-Classification
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Train the HRNet model on ImageNet
Is it possible to redistribute your pretrained models ? Credit will be given to you of course. Thanks!
As I was reading throught the code, I found there's a lot of confusion and unnecessary complication. Can you please simplify?
I try with "HRNet-Image-Classification/lib/core/function [function.txt](https://github.com/HRNet/HRNet-Image-Classification/files/3955217/function.txt) .py" in this file, at line no. 104, ``` for i, (input, target) in enumerate(val_loader): output = model(input) batch_time.update(time.time() - end) target = target.cuda(non_blocking=True) loss...
Could you please provide the `HRNet-W64-C` config file?
hi! if i want to modify the inputsize of HRNet-samll-v1 from 224 to 84, Which parameters of the network need to be modified? can u give me some advice? thanks!
Do you have plan to have tensorflow support in hrnet? Or, is there any tensorflow implementation existing somewhere?
(the other repositories seem to have v2?).
Hi Thanks for sharing your work, Could you please give guidance to convert this model to train a multi label classification, ie; Single image multiple outputs Thanks in advance
Compared with different.model, could you report training time, and hardware?
I modify the network structure and train from scratch.Can I get your training log and compare it?