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
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How to deal with the error: RuntimeError: value cannot be converted to type float without overflow: (0.000353832,-0.000114967) #226
File "/opt/conda/lib/python3.6/site-packages/torch/autograd/grad_mode.py", line 26, in decoratecontext
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)
File "/opt/conda/lib/python3.6/site-packages/torch/autograd/grad_mode.py", line 26, in decoratecontext 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)