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
Hello, I am using PyTorch1.1+Python3.6. I have no problem with train and val on my own data set, but test.py reports an error: => loading model from /model/........./final_state.pth ...... =>...
If the original image is (H, W), the output of this segmentation is (H/4, W/4). If I want to obtain the segmentation result of (H, W), I need to upsampling...
How exactly is is multi-scale fusion performed when combining all the outputs from different branches in to one? I am asking about the process that happens AFTER the strided convolution...
I have dowonload the pretrained model 'hrnet_w48_cityscapes_cls19_1024x2048_ohem_trainvalset.pth' and evaluate it on cityscapes test dataset, the results are as bellow, https://www.cityscapes-dataset.com/anonymous-results/?id=500275d541b67dd462afa9235b0fbe188e2fdd304e26d8f239a52a8bbfa2fb0d while the mIoU (76.6%) is largely behind the proposed results...
Hi~ I'm trying to transform HRNet for semantic segmentation into other deep learning framework, MindSpore, but I got problems in mIoU result. **Dataset and Configurations:** I use Cityscapes as training...
I encountered this error in training. Does anyone know how to correct it?
Thanks for the great work! When I use HRNet+OCR to train on my own data, this problem randomly hit me, the process hangs and will never recover itself, I have...
