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The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Results 115 HRNet-Semantic-Segmentation issues
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Hello, I want to use my own data set to implement on this network. I have JPG original drawing and JSON file in my hand. How can I change my...

I was going through this [paper](https://arxiv.org/pdf/2111.13011.pdf) and I came across the model "HRNetv2-W28". I searched it on the internet but could not find it. Does anyone know about it?

optimizer.step() File "/opt/conda/lib/python3.6/site-packages/torch/autograd/grad_mode.py", line 26, in decorate_context return func(*args, **kwargs) File "/opt/conda/lib/python3.6/site-packages/torch/optim/sgd.py", line 112, in step p.add_(d_p, alpha=-group['lr']) RuntimeError: value cannot be converted to type float without overflow: (0.000353832,-0.000114967)

I'm a little confused, since the paper says when use the gtmask is best, why not just use the gtmask for Object_region instead of using a learnable conv_block in the...

Thanks for your appealing work, but I encountered a problem when having a try on training your code. Here is the error informations: ` Frame skipped from debugging during step-in....

here are the details: when run : python tools/test.py --cfg experiments/cityscapes/seg_hrnet_w48_train_512x1024_sgd_lr1e-2_wd5e-4_bs_12_epoch484.yaml \ TEST.MODEL_FILE hrnet_cs_8090_torch11.pth \ TEST.SCALE_LIST 0.5,0.75,1.0,1.25,1.5,1.75 \ TEST.FLIP_TEST True ` => init weights from normal distribution Traceback (most recent...

I found there is code for calculating GFLOPs within the repository. Is this the code that was used to calculate HRNet GFLOPs written in Table 3 of the paper? Because...

when I tried to set up the inplace_abn, it warmed me up that 'your setuptools is too old (