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orsic
Bumps [numpy](https://github.com/numpy/numpy) from 1.17.4 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
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Hello. The code doesn't work on Windows. I even double clicked build.sh file in lib but only cylib.pyx is generated. How do I make your code work on Windows? Thanks
Bumps [pillow](https://github.com/python-pillow/Pillow) from 6.2.0 to 9.0.1. Release notes Sourced from pillow's releases. 9.0.1 https://pillow.readthedocs.io/en/stable/releasenotes/9.0.1.html Changes In show_file, use os.remove to remove temporary images. CVE-2022-24303 #6010 [@radarhere, @hugovk] Restrict builtins within...
When trying to run python eval.py configs/rn18_single_scale.py, i ran into the follow error in evaluate.py, line 17 and 30 > (swiftnet) fyp@fyp-P95-96-97Ex-Rx:~/Desktop/swiftnet$ python eval.py configs/rn18_single_scale.py > Num images: 0 >...
When I try to train the model on cityscapes I get an error that the num_samples is zero. The script will print that the "Num images: 0" during execution. I...
### I want to evaluate a SPECIFIED Image using your method, how should I do? 1. After downloading two file "**swiftnet_pyr_cs.pt**" and "**swiftnet_ss_cs.pt**" from the link https://drive.google.com/drive/folders/1DqX-N-nMtGG9QfMY_cKtULCKTfEuV4WT you give in...
I wonder whether you would like to share the pretrained model on kitti ? And is your model on kitti first trained on cityscapes then fine tuned on kitti ?...
Hello dear @orsic , thank you for such a great work. I am not able to generate cylib.so file. I have created a virtual environment (Swiftnet) with python3.8 and installed...
I did not change the code. Got data loading error: trainer.train() File "train.py", line 115, in train for step, batch in batch_iterator: File "/usr/local/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 345, in __next__ data =...
Thank you for sharing the train. I tried "python train.py configs/rn18_single_scale.py --store_dir=/path/to/store/experiments" but only get "Best mIoU: 69.45% (epoch 240)". The paper says the mIoU is 75.4% SwiftNetRN-18† val 75.4...
