Migrate from Conda to uv #370
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The default confidence_threshold of 0.5 was too high for the model's output scores (~0.12-0.17), resulting in all detections being filtered. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Remove explicit bpe_path argument since build_sam3_image_model() already handles the default path correctly using pkg_resources. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Replace pip install commands with uv equivalents for running Jupyter notebooks and setting up the development environment. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Objective
Migrate the virtual environment from conda to uv,
because conda is very slow and use a lot of storage.
Summary
Changes
pyproject.tomland adduv.lockexamples/sample_run.pyto detect objects with lower confidence scoresbpe_pathin notebook sincebuild_sam3_image_model()handles it correctly by defaultpipcommands withuv runanduv syncequivalentsTest plan
uv sync --extra notebooks --extra train --extra devuv run python examples/sample_run.py- now detects 3 masks🤖 Generated Masahiro Ogawa with Claude Code