Comments (5)
95maddycode
commented on August 17, 2024
I got the same error. Did you already solve it?
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segermans
commented on August 17, 2024
Nope. Have not worked on it either, but will continue with it this week. Let me know if you found a solution (or preferably, the authors :) ).
Cheers.
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mohan1914
commented on August 17, 2024
The model was trained with torch 1.7.1. I have updated the repo to support 1.7.1
Please reinstall. Hopefully, there shouldn't be any problem running the model then.
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95maddycode
commented on August 17, 2024
It works perfectly after updating to 1.7.1
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segermans
commented on August 17, 2024
Mine also works! Thanks.
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Related Issues (20)
- kitti subset HOT 2
- not find efficientPS_singlegpu_sample HOT 1
- run on KITTI dataset HOT 1
- Fail to open efficientPS_cityscapes.zip HOT 3
- pre-trained model (cityscape) classes missing? HOT 1
- Issue Inference of EfficientPS not working
- which dataset to download from Cityscapes download directory
- Installation of EfficientPS not working due to dependency inplace_abn (inplace_abn not updated for CUDA Driver Version 11) HOT 1
- Mask dislocation when test
- Convert the model to onnx HOT 3
- Could not download the pretrained models using the links in README HOT 1
- I get a bad kitti segmentation result with kitti pre-trained model. HOT 1
- How to compute mIoU based on results
- A bug about the cityscapes_demo.py
- problem with converting cityscapes HOT 1
- NameError: name ' samples_ per_ gpu' is not defined HOT 2
- Pre-Trained Models is not available
- RuntimeError: CUDA error: invalid device function，The cuda in the environment matches the cuda in mmdetection. Why the error HOT 1
- ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (2,) + inhomogeneous part. HOT 1
- Semantic segmentation metrics are used for evaluation
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