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videoflow-factory\n\n\n*videoflow-factory* is a library for dynamically generating [Videoflow](https://github.com/videoflow/videoflow) DAGs from YAML configuration files.\n- [videoflow-factory](#videoflow-factory)\n  - [Installation](#installation)\n  - [Usage](#usage)\n  - [Benefits](#benefits)\n  - [Contributing](#contributing)\n\n## Installation\n\nTo install *videoflow-factory* run `pip install videoflow-factory`. It requires Python 3.6.0+ and Videoflow.\n\n## Usage\n\nAfter installing *videoflow-factory* in your environment, there are two steps to creating DAGs. First, we need to create a YAML configuration file. For example:\n\n```yaml\nod_flow:\n  description: \"Fynd Trak: MD \u0026 OD to Cache Flow\"\n  owner: \"Kaushik B\"\n  tasks:\n    reader:\n      operator: videoflow.producers.VideoFileReader\n      node: Producer\n      arguments:\n        video_file: \"./videos/sample.mp4\"\n    frame:\n      operator: videoflow.processors.basic.FrameIndexSplitter\n      node: Processor\n      dependencies: [reader]\n    od_key:\n      operator: videoflow.processors.KeyGenerator\n      node: Processor\n      arguments:\n        store_id: \"abc\"\n        video_id: \"abc\"\n        prefix: \"od\"\n      dependencies: [reader]\n    motion_detector:\n      operator: videoflow.processors.detector.motion_detector.OpencvMotionDetector\n      node: Processor\n      dependencies: [frame]\n    object_detector:\n      operator: videoflow.processors.detector.AsyncObjectDetector\n      node: Processor\n      arguments:\n        url: \"https://sample.url.com/api/v1/predict\"\n        nb_concurrent_tasks: 500\n        gradual_increase_task: True\n      dependencies: [frame]\n    od_md_result_generator:\n      operator: videoflow.processors.OdMdResultGenerator\n      node: Processor\n      dependencies: [motion_detector, object_detector]\n    redis_cache:\n      operator: videoflow.cache.RedisCache\n      node: Consumer\n      dependencies: [od_key, od_md_result_generator]\n```\n\nThen create a python script like this:\n\n```python\nfrom videoflow_factory import VideoflowFactory\nimport os\n\nod_flow_config = os.path.abspath(\"./od_flow.yaml\")\n\nod_flow = VideoflowFactory(od_flow_config)()\n\nod_flow.run()\nod_flow.join()\n```\n\nAnd this DAG will be generated and the Flow will start running!\n\n\n## Benefits\n\n* Construct DAGs without knowing Python\n* Construct DAGs without learning VideoFlow primitives\n* Avoid duplicative code\n* Everyone loves YAML! ;)\n\n## Contributing\n\nContributions are welcome! 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