tolik518 / tolik518/factorion-bot
Optical Character Recognition (OCR)
Nobody has claimed this yet.
- Dominant language
- Rust
- Stars
- 51
- Forks
- 8
- PR merge metrics
- No merged PRs in 30d
Description
Recognizing factorials directly in a image could be a fun addition and would give the bot a much wider coverage. As far as I have seen most OCR crates are fairly easy to integrate.
Downsides:
- slower response times/latency (since currently we're working on the comments sequentially)
- higher resource use with OCR
- false positives/negatives
- might make the bot look dumb
Crates
I don't have a strong preference right now, but from what I have seen floneum looks promising as it uses models which could work best with structured inputs.
Traditional OCR like tesseract would probably be a lot less resource hungry, but less accurate and would probably need more configuration. Tesseract biggest upside by far is that it should be more resource-efficient than "model-based" OCRs
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.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No file, test, or entry point is named. Start by reviewing how the bot currently processes comments sequentially, then compare floneum with Tesseract for image recognition, latency, resource use, and false positives. Done would require a decided OCR approach and an agreed integration scope.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- rust
- Domain
- computer-vision
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100