FishTrack
Detect, segment and track fish in underwater video using computer vision and AI
What XERJ indexed
Selected work
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The owner added it on hub.xerj.org after signing in with GitHub, on 2026-11-01. Same terms as the repository. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution
computer-visionfish-detectionfish-trackinggrounding-dinoimage-segmentationmachine-learningmarine-biologymarine-life
Example questions
- How does FishTrack implement computer-vision?
- Show the fish-detection code in FishTrack.
The prompt
Paste it into your AI agent. It clones davewalker5/FishTrack at the pinned commit and indexes it on your machine.
Search the GitHub repository davewalker5/FishTrack with XERJ (https://hub.xerj.org/corpus/davewalker5--fishtrack). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/davewalker5/FishTrack FishTrack && git -C FishTrack checkout 9b43d1ad40ae119b37e4513548b435c1a30f4345 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./FishTrack --url http://127.0.0.1:9200 --prefix fishtrack --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
Related
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Selected work and consent: the XERJ registry.