Comments (5)
I got the same error. Did you already solve it?
from efficientps.
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.
from efficientps.
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.
from efficientps.
It works perfectly after updating to 1.7.1
from efficientps.
Mine also works! Thanks.
from efficientps.
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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