Glenn JocherandUltralyticsAssistant
2ef886370c
* Update tests to `pip install -e .` Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Auto-format by https://ultralytics.com/actions * Update pyproject.toml Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Use `setup-uv` and `uv pip` for package management. Replaced `setup-python` with `setup-uv` and updated pip commands to use the `uv` tool for dependency installation and listing. Simplifies package management and integrates * Use `setup-uv` and `uv pip` for package management. Replaced `setup-python` with `setup-uv` and updated pip commands to use the `uv` tool for dependency installation and listing. Simplifies package management and integrates-uv` for improved workflow consistency. * Use `setup-uv` and `uv pip` for package management. Replaced `setup-python` with `setup-uv` and updated pip commands to use the `uv` tool for dependency installation and listing. Simplifies package management and integrates-uv` for improved workflow consistency. * Use `setup-uv` and `uv pip` for package management. Replaced `setup-python` with `setup-uv` and updated pip commands to use the `uv` tool for dependency installation and listing. Simplifies package management and integrates-uv` for improved workflow consistency. --------- Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
31 lines
766 B
Bash
31 lines
766 B
Bash
#!/bin/bash
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# Download ILSVRC2012 ImageNet dataset https://image-net.org
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# Example usage: bash data/scripts/get_imagenet.sh
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# parent
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# ├── yolov5
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# └── datasets
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# └── imagenet ← downloads here
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# Arguments (optional) Usage: bash data/scripts/get_imagenet.sh --train --val
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if [ "$#" -gt 0 ]; then
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for opt in "$@"; do
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case "${opt}" in
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--train) train=true ;;
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--val) val=true ;;
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esac
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done
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else
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train=true
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val=true
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fi
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# Make dir
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d='../datasets/imagenet100' # unzip directory
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mkdir -p $d && cd $d
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# Download/unzip train
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wget https://github.com/ultralytics/yolov5/releases/download/v1.0/imagenet100.zip
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unzip imagenet100.zip && rm imagenet100.zip
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