HRNet-Semantic-Segmentation
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HRNet
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
directory tree should be look like this: ``` ├── list │ ├── cityscapes │ │ ├── test.lst │ │ ├── trainval.lst │ │ └── val.lst │ ├── lip │ │...
Traceback (most recent call last): File "D:\Anaconda3\envs\pytorch\lib\runpy.py", line 193, in _run_module_as_main "__main__", mod_spec) File "D:\Anaconda3\envs\pytorch\lib\runpy.py", line 85, in _run_code exec(code, run_globals) File "D:\Anaconda3\envs\pytorch\lib\site-packages\torch\distributed\launch.py", line 263, in main() File "D:\Anaconda3\envs\pytorch\lib\site-packages\torch\distributed\launch.py", line...
In the beginning, this net downsamples the input 4 times. So it's output image gets 1/4 width and 1/4 height. What should I do to avoid this? Change the param...
Hi, I have trained OCR on cityscapes many times with different hyperparameters, however, I still cannot get wanted mIoU which is 81.60% (and the highest one I got was 81.54%),...
Traceback (most recent call last): File "tools/test.py", line 144, in main() File "tools/test.py", line 67, in main module = eval('models.'+config.MODEL.NAME) File "", line 1, in NameError: name 'models' is not...
I want to visualize how this model segments in a single image. Is there a way?
who have the code test on a singal image?how to write the interface ? thanks !
I got mIoU=**51.42** (59 classes) and mIoU=**46.58**(60 classes) which was a great gap compared with paper 
I use the environment that the author suggested, but I can not reproduce the result. Have anyone done? I run the code three times, but every time the result is...
