detector as feature extractor
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Description
Hello,
I am using mask rcnn for detection. So basically fine tuning. However I want extract feature for each object that is being detected.
So possibly extracting feature vector just before last layer. How can I do that ? forward hooks ?
I was also looking into https://github.com/pytorch/vision/blob/master/torchvision/models/_utils.py ? could not get it working.
Also how to use jit for the same ?
Any leads would be helpful. @fmassa
Cheers!
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.
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Research direction
Start with the Mask R-CNN model path and torchvision/models/_utils.py mentioned in the issue, then examine how per-object feature vectors and JIT support would fit the existing API. Done when the requested behavior has a defined interface and a supported implementation or a clearly documented limitation.
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Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100