Grad-Cam from ONNX model
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Description
Feature Request
Ability to get subset of layers from a list of layers for a given model
What is the problem that this feature solves?
I'm interested in implementing Grad-CAM starting with an ONNX model and from my understanding, importing onnx saves each layer as an attribute of the model struct but there's no way to get a subset of the model other than rebuilding it manually.
Describe the feature
Why is this feature necessary? What does it accomplish?
Relevant Model Zoo feature areas
Which area in the Model Zoo infrastructure does this impact?
explainable AI, computer vision, backbones
Notes
Fairly new to burn and I'm excited to use it!
Contributor guide
No contributing guide indexed for this repository
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 by examining how ONNX imports expose layers as attributes on the model struct, then review the Grad-CAM and explainable-AI requirements described in the issue. Define and validate an approach for selecting a subset of layers from a model so Grad-CAM can use it without manual rebuilding.
Written by the indexing model from the issue text.
Assessment
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100