Investigate how to decode images into tensors
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 28/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- cpp, javascript, wasm
- Domain
- machine-learning, web-dev
Research direction
Start by reviewing how the openvino-tensor-converter tool currently decodes images offline, then compare the assemblyscript-jpeg-decoder, @neslinesli93/mozjpeg-wasm, and modern-cpp-lib-js options for online decoding into tensors. Done means documenting the trade-offs and identifying a viable implementation direction.
Written by the indexing model from the issue text.
Description
For ease-of-use, users will likely want to decode images online rather than offline like we do currently with the openvino-tensor-converter tool. Here are some possible libraries to investigate:
- Dominant language
- CSS
- Stars
- 55
- Forks
- 37
- PR merge metrics
- No merged PRs in 30d
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
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.
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