Comments (3)
@YAwei666 You may check the following instructions to reproduce the best HRNet+OCR+SegFix results on Cityscapes leaderboard:
- Refer to here to train an HRNet+OCR model with best performance.
- Apply SegFix following the instructions at here, check the "For whom want to try SegFix by using offline-generated offsets" section.
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how to trian a new segfix model on my own datasets, I have trained a HRNet+OCR, but don't know how to do next step.
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You may check the instruction at here.
For generating ground truth on your own dataset, you may create a script imitating dt_offset_generator.py, change L47 to your label mapping, and L114 to the path of your dataset. Some other minor edits might be included. Run the script and you will get the ground truth files.
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Related Issues (20)
- Address already in use: how to enable multiple training process on one machine?
- validation in inference process has a large difference with validation in train process HOT 1
- ERROR: Found no prediction for ground truth HOT 1
- Wrong! bash scripts/cityscapes/segfix/run_h_48_d_4_segfix.sh segfix_pred_val 1 HOT 1
- Mask loss is 0.0 and overall loss doesnt converge && what is relevance of dt_num_classes ? HOT 2
- TypeError: 'NoneType' object is not callable HOT 2
- Unexpected key(s) in state_dict: "config_dict", "state_dict". HOT 1
- FSSlowOhemCELoss is not defined in loss_helper
- why the refined result is white?
- can not reproduce eval result with segfix
- question about flops
- Result of refinement by SegFix on HRNet / HRNet-Semantic-Segmentation open source
- a pretrained SegFix model,
- preprocess scripts for LIP
- Checkpoints for SegFix models trained with Pytorch-1.7 have been released?
- Preprocess VOC dataset HOT 2
- need *.mat when I want to train segfix on my own dataset
- custom dataset
- label list
- About Train and Val HOT 1
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