jetson
a5566f3b99
- Pipeline writes JPEG to /tmp/feedmill_preview_{job_id}.jpg (atomic)
- Flask serves MJPEG stream at /api/preview/{job_id}
- Frontend uses native <img src> MJPEG — zero JS needed
- Removed flask-socketio, eventlet, socket.io CDN dependencies
- 33% less bandwidth per frame, native browser decode
- Same proven approach as original karung-counting project
28 lines
543 B
TOML
28 lines
543 B
TOML
[build-system]
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requires = ["setuptools>=68.0"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "feedmill-recounter"
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version = "0.1.0"
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description = "AI video analysis tool for counting objects in feedmill videos"
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requires-python = ">=3.10"
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dependencies = [
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"ultralytics",
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"opencv-python",
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"numpy<2.0",
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"shapely",
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"flask",
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"python-dotenv",
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]
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[project.optional-dependencies]
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dev = ["pytest"]
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[project.scripts]
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recounter = "cli:main"
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recounter-web = "app:main"
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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