Use real image input in demo colab notebook
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Description
📚 The doc issue
We have a Colab notebook which we link to in the Getting Started documentation, which illustrates exporting, lowering, and running (with Pybindings) MobileNet V2. It would be nice to have it load a real image and print the top predicted classes, as opposed to current behavior of using random inputs and printing PASS. It would make a nice demo and illustrate it working end to end. It also forces us to include some of the practical bits for input transformations, matching the "real" user experience. We can also align with the content in the getting started section to ideally make them match up.
Suggest a potential alternative/fix
No response
cc @mergennachin @iseeyuan @lucylq @helunwencser @tarun292 @kimishpatel @jackzhxng @byjlw
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
Open the linked Colab notebook and compare its MobileNet V2 flow with the Getting Started documentation. Replace the random input and PASS output with a real image, the required input transformations, and printed top predicted classes; done means the export, lowering, Pybindings execution, and end-to-end demo work together.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 38/100