use a batch of image as input
Nobody has claimed this yet.
Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 25/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Domain
- documentation, machine-learning
Research direction
The issue names no file, test, or entry point. Start by reviewing the existing image-input examples and the wasi-nn system-call bindings, then determine whether batched image tensors are already supported. Done means providing a documented example that converts multiple images into the requested tensor shape and demonstrates its use for inference.
Written by the indexing model from the issue text.
Description
Hi guys, is there any example that can convert multiple image to one tensor with dimension [batch_size, channel, witdth, height]? I am hoping this may be more efficient towards to real inference scenarios.
- 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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