Comments (2)
InhwanBae
commented on May 26, 2024
Hi @foxkw
Thanks for your interest in my implementation. The reason for the different inference times may be due to various causes. First, the official code and my implementation were written in different languages. Additionally, using PyTorch APEX, or designing the image pre- and post-processing as a pipeline, the execution speed can be much faster.
I hope this answers your questions.
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InhwanBae
commented on May 26, 2024
Thank you for your interest. I'm closing this issue for now. Please feel free to open another issue for other questions.
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Related Issues (20)
- SAD loss HOT 1
- Evaluation Code for BDD100K Dataset HOT 12
- Confused about the training time HOT 2
- pre training weight given HOT 1
- 안녕하세요, 코드 관련해서 몇가지 질문이 있습니다. HOT 1
- Images with 5 lanes
- BDD100K pixel accuracy HOT 2
- 测试 HOT 1
- training based on bdd100k? HOT 2
- how can I separate out the self-attention Distillation module?
- When I run demo_video.py,I got the model mismatched HOT 2
- Having trouble replicating results
- Problems of the code HOT 2
- bdd100k evaluation code HOT 1
- bdd100k dataset code is not present can we get the module ? HOT 1
- Tentative date to publish the testing code? HOT 2
- Codes for testing and evaluation HOT 2
- What is the tensorflow version we are using here? HOT 1
- Question about training HOT 2
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