facebookresearch / facebookresearch/detectron2
How does d2 deal with the different width and height in a single batch?
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- Python
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Description
As detectron2 uses cfgs such as INPUT.MIN_SIZE_TRAIN INPUT.MIN_SIZE_TRAIN_SAMPLING to randomly resize a single sample, the image size in a batch will differ. How does it form a batch which has same fixed size at H,W dim?
I search the codes and just can't find the point but the transform which does the random resize.
Contributor guide
Research direction
Start with the INPUT.MIN_SIZE_TRAIN and INPUT.MIN_SIZE_TRAIN_SAMPLING configuration and trace the random resize transform into batch construction. The issue mentions no file or test; done means documenting how differently sized samples are combined into a batch with consistent H,W dimensions.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100