{"id":20058684,"url":"https://github.com/roboflow/inference-dashboard-example","last_synced_at":"2025-05-05T14:31:31.700Z","repository":{"id":189206569,"uuid":"680247661","full_name":"roboflow/inference-dashboard-example","owner":"roboflow","description":"Roboflow's inference server to analyze video streams. 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This project extracts insights from video frames at defined intervals and generates informative visualizations and CSV outputs.\n\n##  📦 Use Case: Smart Inventory Monitoring\n\nFactories \u0026 stores can:\n\n- Save time\n- Count items at intervals, avoiding stockouts.\n- Restock efficiently using data.\n- Enhance operations \n\n## 📈 Result \n\nThis is counting products on shelf, every 5 minutes, categorically and in total.\n\n\u003ca href=\"https://universe.roboflow.com/roboflow-ngkro/shelf-product\"\u003e\n    \u003cimg src=\"https://app.roboflow.com/images/download-dataset-badge.svg\"\u003e\u003c/img\u003e\n\u003c/a\u003e\n\u003ca href=\"https://universe.roboflow.com/roboflow-ngkro/shelf-product/model/\"\u003e\n    \u003cimg src=\"https://app.roboflow.com/images/try-model-badge.svg\"\u003e\u003c/img\u003e\n\u003c/a\u003e\n\n\u003cbr/\u003e\n\n![alt text](./results/objects_by_class_over_time.png \"Title\")\n\n\u003cbr/\u003e\n\n![alt text](./results/objects_over_time_d.png \"Title\")\n\n##  ⚙️ Requirements\n\nMake sure you have docker installed. Learn more about building, pulling, and running the Roboflow Inference Docker Image in our [documentation](https://roboflow.github.io/inference/quickstart/docker/).\n\n## 🔍 Installation \n\n### **⌗ 1 Start inference server**\nx86 CPU:\n\n```bash\ndocker run --net=host roboflow/roboflow-inference-server-cpu:latest\n```\nNVIDIA GPU\n```bash\ndocker run --network=host --gpus=all roboflow/roboflow-inference-server-gpu:latest\n```\n\n### **⌗ 2 Setup and Run**\n```python\ngit clone https://github.com/roboflow/inference-dashboard-example.git\ncd inference-dashboard-example\npip install -r requirements.txt\n```\n\n```python\npython main.py --dataset_id [YOUR_DATASET_ID] --api_key [YOUR_API_KEY] --video_path [PATH_TO_VIDEO] --interval_minutes [INTERVAL_IN_MINUTES]\n\n\"\"\"\n--dataset_id: Your dataset name on Roboflow.\n--version_id: The version ID for inference (default: 1).\n--api_key: Your API key on Roboflow.\n--video_path: Path to the video file for analysis.\n--interval_minutes: Interval in minutes to extract predictions (default: 1).\n\"\"\"\n```\n\n## 🦾 Feedback \u0026 Contributions\n\nFeel free to open an issue, submit a PR, or share your feedback. All contributions are welcome!","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Froboflow%2Finference-dashboard-example","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Froboflow%2Finference-dashboard-example","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Froboflow%2Finference-dashboard-example/lists"}