Commit History
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Update 39 show latest training artifacts from artifact repo
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Update 38 prevent runtime self-rebuild commits
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Update 37 run training preparation in background worker
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Update 36 reset training artifacts and persist training graphs
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Training-first academic workflow update 35
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Revise layout evaluation and training artifact sync update 32
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Add Windows one-command installer for contributors
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Improve contributor setup with VS Code and pip environment
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Add contributor setup script for VS Code workflow
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Update README target repo to organization Space
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Enable auto-save detection artifacts to Space and fix inference counters (update 30)
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Auto-scope detection by model and clarify YOLOv8n vs Best.pt behavior (update 28)
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Remove manual actual label input and auto-update evaluation panel (update 26)
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Add all-classes detection scope and clarify Best.pt class behavior (update 25)
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Apply article revision: person vs background evaluation, saved detection artifacts, separate input-output layout (update 23)
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Background training with reconnect-safe status/log polling (update 18)
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Add advanced annotation style options and automatic dark mode UI support (update 17)
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Auto-update confusion matrix after inference and align formula beside matrix (update 14)
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Add version chip, update counter, changelog, and update-tracking skill guide
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Add live training terminal, epoch curves, and best.pt overwrite flow
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Stabilize autosync defaults and startup behavior
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Enable HF Space auto-sync env defaults and docs
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Add model selector, attendance testing input, confusion matrix and metric formulas
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Enable training function with dataset/train-test and optional pseudo-labeling
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Simplify to check+classification only, remove batch input and training UI
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Restructure sections: results in section 2 and add training section
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Refactor to classification sections and confusion matrix image
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Use yolov8n.pt default and visual confusion matrix image
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Fix Spaces python_version YAML to string 3.10
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Deploy YOLOv8 attendance validator app
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initial commit
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