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‎.env.example‎

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# VisionFlow 環境變數配置範例
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# 複製此檔案為 .env 並填入實際數值
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# ===========================================
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# 資料庫配置
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# ===========================================
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POSTGRES_USER=user
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POSTGRES_PASSWORD=password
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POSTGRES_DB=vision_notify
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DATABASE_URL=postgresql://user:password@db:5432/vision_notify
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# ===========================================
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# Flask Web 應用配置
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# ===========================================
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FLASK_ENV=development
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FLASK_DEBUG=false
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FLASK_HOST=0.0.0.0
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FLASK_PORT=5000
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SECRET_KEY=your-secret-key-change-this-in-production
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# ===========================================
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# 服務端口配置 (避免衝突)
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# ===========================================
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BACKEND_PORT=5001
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CAMERA_CTRL_PORT=5002
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DB_PORT=5433
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REDIS_PORT=6380
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# ===========================================
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# Redis 配置
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# ===========================================
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REDIS_HOST=redis
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REDIS_PORT=6380
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REDIS_DB=0
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REDIS_PASSWORD=
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# ===========================================
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# API 服務配置
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# ===========================================
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API_SERVICE_URL=http://backend:5000
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CAMERA_SERVICE_URL=http://camera_ctrl:5000
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API_TIMEOUT=30
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# ===========================================
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# 物件辨識服務配置
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# ===========================================
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# 模型配置
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MODEL_PATH_BASE=/app/models
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DEFAULT_MODEL_CONFIDENCE=0.5
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GPU_ENABLED=false
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BATCH_SIZE=1
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# 模型啟用設定
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MODEL1_ENABLED=true
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MODEL2_ENABLED=false
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MODEL3_ENABLED=false
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# 模型信心度閾值
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MODEL1_CONF=0.5
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MODEL1_CONF_PERSON=0.7
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MODEL1_CONF_BICYCLE=0.6
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MODEL1_CONF_CAR=0.6
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MODEL1_CONF_DOG=0.7
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MODEL1_CONF_CAT=0.7
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MODEL2_CONF=0.5
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MODEL2_CONF_CAT=0.7
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MODEL2_CONF_LAPTOP=0.6
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MODEL2_CONF_CELL_PHONE=0.6
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MODEL2_CONF_CHAIR=0.7
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MODEL2_CONF_BOOK=0.6
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MODEL3_CONF=0.5
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MODEL3_CONF_BOTTLE=0.7
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MODEL3_CONF_CUP=0.6
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MODEL3_CONF_FORK=0.6
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MODEL3_CONF_KNIFE=0.7
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MODEL3_CONF_SPOON=0.6
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# 標註設定
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MODEL1_BOX_THICKNESS=2
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MODEL1_TEXT_THICKNESS=1
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MODEL1_TEXT_SCALE=0.5
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MODEL2_BOX_THICKNESS=2
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MODEL2_TEXT_THICKNESS=1
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MODEL2_TEXT_SCALE=0.5
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MODEL3_BOX_THICKNESS=2
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MODEL3_TEXT_THICKNESS=1
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MODEL3_TEXT_SCALE=0.5
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# 處理配置
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PROCESSING_SLEEP_INTERVAL=0.1
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MAX_WORKERS=4
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# 儲存配置
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BASE_SAVE_DIR=saved_images
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ENABLE_IMAGE_SAVING=true
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IMAGE_RETENTION_DAYS=7
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# ===========================================
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# 相機控制器服務配置
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# ===========================================
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# 相機配置
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CAMERA_FETCH_INTERVAL=0.1
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CAMERA_TIMEOUT=30
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CAMERA_MAX_RETRIES=3
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# 圖像處理
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IMAGE_QUALITY=85
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IMAGE_FORMAT=JPEG
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MAX_IMAGE_WIDTH=1920
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MAX_IMAGE_HEIGHT=1080
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# 圖像儲存
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SAVE_PATH=/app/images
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IMAGE_RETENTION_HOURS=24
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# 安全配置
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CORS_ORIGINS=*
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# 性能配置
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WORKER_THREADS=4
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FRAME_BUFFER_SIZE=5
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# 監控配置
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HEALTH_CHECK_INTERVAL=30
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STATUS_UPDATE_INTERVAL=5
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# ===========================================
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# 通知服務配置
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# ===========================================
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NOTIFICATION_COOLDOWN=60
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ENABLE_EMAIL_NOTIFICATIONS=false
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ENABLE_LINE_NOTIFICATIONS=false
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# 郵件配置
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SMTP_SERVER=smtp.gmail.com
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SMTP_PORT=587
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SMTP_USERNAME=
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SMTP_PASSWORD=
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EMAIL_FROM=
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# LINE Notify 配置
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LINE_NOTIFY_TOKEN=
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# ===========================================
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# 外部服務配置
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# ===========================================
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TOKEN=hf_xxxxxx
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DATASETNAME=danlee01633060/imgtest
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# ===========================================
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# 工作器配置
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# ===========================================
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WORKER_ID=1
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NUM_WORKERS=3
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# ===========================================
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# 郵件服務配置
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# ===========================================
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MAIL_API_URL=https://api.example.com/v1
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# ===========================================
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# 日誌配置
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# ===========================================
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LOG_LEVEL=INFO
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LOG_FORMAT=%(asctime)s - %(name)s - %(levelname)s - %(message)s
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ENABLE_FILE_LOGGING=true
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LOG_FILE_PATH=logs/app.log
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LOG_FILE_MAX_BYTES=10485760
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LOG_FILE_BACKUP_COUNT=5

‎.github/workflows/docker-image.yml‎

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on:
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push:
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branches: [ "main" ]
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branches: [ "dev" ]
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pull_request:
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branches: [ "main" ]
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branches: [ "dev" ]
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jobs:
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build-backend:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- name: Build Backend Image
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run: |
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cd web
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docker build . --file Dockerfile --tag backend-image:$(date +%s)
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build:
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build-camera-ctrl:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- name: Build Camera Control Image
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run: |
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cd camera_ctrler
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docker build . --file cameractrlDockerfile --tag camera-ctrl-image:$(date +%s)
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build-objectrecognition:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- name: Build Object Recognition Image
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run: |
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cd object_recognition
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docker build . --file objectrecognitionDockerfile --tag objectrecognition-image:$(date +%s)
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build-worker_1:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- name: Build the Docker image
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run: docker build . --file Dockerfile --tag my-image-name:$(date +%s)
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- name: Build worker Image
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run: |
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cd redisv1
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docker build . --file rtsptestDockerfile --tag worker_1-image:$(date +%s)

‎.gitignore‎

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# 環境變數和敏感檔案
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.env
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*.env
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.env.local
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.env.production
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.env.staging
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# AI 模型檔案
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*.pt
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*.pth
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*.onnx
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*.tflite
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*.pb
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*.bin
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*.param
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*.mlmodel
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*.engine
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# 圖片和媒體檔案
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saved_images/
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frames/
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stream/
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image/
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# Redis 資料
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redis-data/
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# 日誌檔案
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*.log
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logs/
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*.log.*
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# 資料庫檔案
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db/
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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rtsp_test/frames/
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object_recognition/saved_images/
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redis-data/
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camera_ctrler/__pycache__/

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