Missing pre process and post process
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A pull request for this has already been merged.
- #333 by @M-Tonin — merged
enhancement
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- Jupyter Notebook
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Description
Feature Request
What is the problem that this feature solves?
- Usage of model's like (CaffeNet, rcnn_ilsvrc13, ZFnet, Desnet)
Relevant Model Zoo feature areas
Which area in the Model Zoo infrastructure does this impact?
- file organization, model storage and model usage.
I tried to use another preprocess and my result for CaffeNet was:
And for example, for densenet,
It would be nice to have complete pipeline to show how to use this models.
Thank's
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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
Review the Model Zoo infrastructure areas named in the issue: file organization, model storage, and model usage. Compare the CaffeNet and densenet examples and determine what preprocessing and postprocessing information is missing. Done means the relevant models have a complete usage pipeline documented or provided.
Written by the indexing model from the issue text.
Assessment
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100