1. 安裝 Python
- 前往 Python 官方網站，下載並安裝相容版本（如 3.9）。
安裝時務必勾選「Add Python to PATH」！ - 安裝完成後，開啟命令提示字元（cmd）輸入
python --version驗證版本- 例外處理 – 若未顯示則手動編輯環境變數：搜尋 “環境變數”，在系統 PATH 新增 Python 安裝路徑（如 C:\Program File\Python39）和 Scripts 資料夾（如 C:\Program File\Python39\Scripts）。
- 再來更新pip，命令提示字元（cmd）輸入
python.exe -m pip install --upgrade pip - 最後來安裝python環境管理套件uv，命令提示字元（cmd）輸入 “pip install uv
，安裝完成後，關閉命令提示視窗
2. 建立虛擬環境
- 開啟命令提示字元（cmd），導航至專案資料夾（如C:\YOLOv5Project）
- 建立Python 3.9.11虛擬環境，在命令提示字元（cmd），輸入
uv venv --python 3.9.11- 例外處理 – 如果出現“‘uv’ 不是內部或外部命令、可執行的程式或批次檔。”，在 Windows 11 上使用 pip 安裝 uv 後，命令提示字元無法識別 “uv”，因為 pip 預設安裝到用戶目錄 (c:\users\使用者\appdata\roaming\python\python39\site-packages)，而非系統 PATH 路徑，因此需手動將用戶 Scripts 資料夾加入環境變數。
- 啟用虛擬環境，在命令提示字元（cmd）輸入
.venv\Scripts\activate- 說明 – 正常開啟虛擬環境後，在命令提示視窗會出現”(YOLOv5Project) C:\YOLOv5Project>”
3. 安裝 PyTorch 與 CUDA 支援 (在虛擬環境下執行)
依電腦硬體來安裝適用的PyTorch，這個步驟要下載2G多的資料，整個過程約需 10-20 分鐘，視電腦與網路效能而定。
- 有GPU用這個指令⇒ uv pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 –index-url https://download.pytorch.org/whl/cu118
- 無GPU用這個指令⇒ uv pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2
4.下載並安裝 YOLOv5 (在虛擬環境下執行)
- 開啟命令提示字元（cmd），導航至專案資料夾（如C:\YOLOv5Project）
- 啟用虛擬環境，進行下載YOLOv5原始碼，在命令提示字元（cmd）輸入
git clone https://github.com/ultralytics/yolov5.git - 下載完整後，進入 yolov5 資料夾，安裝依賴套件，整個過程約需 10-20 分鐘，視電腦與網路效能而定。
- 安裝依賴套件（如 OpenCV、Matplotlib），在命令提示字元（cmd）輸入
uv pip install -r yolov5/requirements.txt
- 安裝依賴套件（如 OpenCV、Matplotlib），在命令提示字元（cmd）輸入
5. 安裝 Spyder IDE
- 開啟命令提示字元（cmd），導航至專案資料夾（如C:\YOLOv5Project）
- 啟用虛擬環境，下載YOLOv5原始碼，在命令提示字元（cmd）輸入
uv pip install spyder
6. 設定Spyder IDE
- 開啟命令提示字元（cmd）：輸入
spyder - 前往Tools > Preferences > Python Interpreter
- 選擇"Use the following Python interpreter"，瀏覽至虛擬環境的python.exe
- 以此專案來說會需要設定到：”C:\YOLOv5Project.venv\Scripts\python.exe”
- 套用並重啟Spyder，確認在IPython Console中輸入
import sys; print(sys.executable)顯示環境路徑是否設定一致。
7. 使用Spyder測試 YOLOv5功能
- 開啟命令提示字元（cmd）：輸入
spyder - 在Spyder中，執行detect.py
- 無錯誤即安裝成功。
💡需安裝的windows軟體
💡需安裝的Python模組
- uv 套件管理程式
pip install uv
- Spyder IDE
uv pip install spyder
- PyTorch CUDA
uv pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 --index-url https://download.pytorch.org/whl/cu118
- YOLOv5 下載並安裝相關依賴
git clone https://github.com/ultralytics/yolov5.gituv pip install -r yolov5/requirements.txt
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