Improve Pascal VOC ref example: model weights
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- Python
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Description
🚀 Feature
When we run baseline configuration :
python -m torch.distributed.launch --nproc 2 --use_env -m py_config_runner ./code/scripts/training.py ./configs/train/baseline_resnet101.py
When model is instantiated, it downloads ImageNet pretrained weights for ResNet backbone. In above case, it downloads twice the same file. Let's set up the model such that we run the training from scratch.
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Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with code/scripts/training.py and configs/train/baseline_resnet101.py, then run the provided distributed command to reproduce the duplicate ImageNet weight download. The change is complete when baseline training starts from scratch without downloading pretrained ResNet weights twice.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100