Use uv for pip installs (#13586)

* 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>

.github/workflows/ci-testing.yml

@@ -27,13 +27,12 @@ jobs:
       - uses: actions/setup-python@v5
         with:
           python-version: ${{ matrix.python-version }}
-          cache: "pip" # cache pip dependencies
+      - uses: astral-sh/setup-uv@v6
       - name: Install requirements
         run: |
-          python -m pip install --upgrade pip wheel
-          pip install -r requirements.txt coremltools openvino-dev "tensorflow-cpu<2.15.1" --extra-index-url https://download.pytorch.org/whl/cpu
+          uv pip install --system -r requirements.txt coremltools openvino-dev tensorflow --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match
           yolo checks
-          pip list
+          uv pip list
       - name: Benchmark DetectionModel
         run: |
           python benchmarks.py --data coco128.yaml --weights ${{ matrix.model }}.pt --img 320 --hard-fail 0.29
@@ -66,15 +65,14 @@ jobs:
       - uses: actions/setup-python@v5
         with:
           python-version: ${{ matrix.python-version }}
-          cache: "pip" # caching pip dependencies
+      - uses: astral-sh/setup-uv@v6
       - name: Install requirements
         run: |
-          python -m pip install --upgrade pip wheel
           torch=""
           if [ "${{ matrix.torch }}" == "1.8.0" ]; then
             torch="torch==1.8.0 torchvision==0.9.0"
           fi
-          pip install -r requirements.txt $torch --extra-index-url https://download.pytorch.org/whl/cpu
+          uv pip install --system -r requirements.txt $torch --extra-index-url https://download.pytorch.org/whl/cpu --index-strategy unsafe-best-match
         shell: bash # for Windows compatibility
       - name: Check environment
         run: |

data/scripts/download_weights.sh

@@ -9,7 +9,7 @@
 #     ├── yolov5m.pt
 #     └── ...
 
-python - <<EOF
+python - << EOF
 from utils.downloads import attempt_download
 
 p5 = list('nsmlx')  # P5 models

data/scripts/get_coco.sh

@@ -12,10 +12,10 @@
 if [ "$#" -gt 0 ]; then
   for opt in "$@"; do
     case "${opt}" in
-    --train) train=true ;;
-    --val) val=true ;;
-    --test) test=true ;;
-    --segments) segments=true ;;
+      --train) train=true ;;
+      --val) val=true ;;
+      --test) test=true ;;
+      --segments) segments=true ;;
     esac
   done
 else

data/scripts/get_imagenet.sh

@@ -12,8 +12,8 @@
 if [ "$#" -gt 0 ]; then
   for opt in "$@"; do
     case "${opt}" in
-    --train) train=true ;;
-    --val) val=true ;;
+      --train) train=true ;;
+      --val) val=true ;;
     esac
   done
 else

data/scripts/get_imagenet10.sh

@@ -12,8 +12,8 @@
 if [ "$#" -gt 0 ]; then
   for opt in "$@"; do
     case "${opt}" in
-    --train) train=true ;;
-    --val) val=true ;;
+      --train) train=true ;;
+      --val) val=true ;;
     esac
   done
 else

data/scripts/get_imagenet100.sh

@@ -12,8 +12,8 @@
 if [ "$#" -gt 0 ]; then
   for opt in "$@"; do
     case "${opt}" in
-    --train) train=true ;;
-    --val) val=true ;;
+      --train) train=true ;;
+      --val) val=true ;;
     esac
   done
 else

data/scripts/get_imagenet1000.sh

@@ -12,8 +12,8 @@
 if [ "$#" -gt 0 ]; then
   for opt in "$@"; do
     case "${opt}" in
-    --train) train=true ;;
-    --val) val=true ;;
+      --train) train=true ;;
+      --val) val=true ;;
     esac
   done
 else

pyproject.toml

@@ -86,13 +86,11 @@ dependencies = [
 dev = [
     "ipython",
     "check-manifest",
-    "pre-commit",
     "pytest",
     "pytest-cov",
     "coverage[toml]",
     "mkdocs-material",
     "mkdocstrings[python]",
-    "mkdocs-redirects", # for 301 redirects
     "mkdocs-ultralytics-plugin>=0.0.34", # for meta descriptions and images, dates and authors
 ]
 export = [

utils/aws/mime.sh

@@ -4,24 +4,29 @@
 # This script will run on every instance restart, not only on first start
 # --- DO NOT COPY ABOVE COMMENTS WHEN PASTING INTO USERDATA ---
 
-Content-Type: multipart/mixed; boundary="//"
+Content-Type: multipart/mixed
+boundary="//"
 MIME-Version: 1.0
 
 --//
-Content-Type: text/cloud-config; charset="us-ascii"
+Content-Type: text/cloud-config
+charset="us-ascii"
 MIME-Version: 1.0
 Content-Transfer-Encoding: 7bit
-Content-Disposition: attachment; filename="cloud-config.txt"
+Content-Disposition: attachment
+filename="cloud-config.txt"
 
 #cloud-config
 cloud_final_modules:
 - [scripts-user, always]
 
 --//
-Content-Type: text/x-shellscript; charset="us-ascii"
+Content-Type: text/x-shellscript
+charset="us-ascii"
 MIME-Version: 1.0
 Content-Transfer-Encoding: 7bit
-Content-Disposition: attachment; filename="userdata.txt"
+Content-Disposition: attachment
+filename="userdata.txt"
 
 #!/bin/bash
 # --- paste contents of userdata.sh here ---

utils/aws/userdata.sh

@@ -25,5 +25,5 @@ else
     sudo docker start $id
     # sudo docker exec -it $id python train.py --resume # single-GPU
     sudo docker exec -d $id python utils/aws/resume.py # multi-scenario
-  done <<<"$list"
+  done <<< "$list"
 fi