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To make the detections more reliable, a Tensorflow Convolutional Neural Network is used for prediction.\r\n\r\n---\r\n\r\n## Installation:\r\n\r\n#### Required Python packages:\r\n\r\n- OpenCV\r\n- openpyxl\r\n- PyQt5\r\n- numpy\r\n- tensorflow\r\n\r\n#### Install with\r\n\r\n```\r\npip install -r requirements.txt\r\n```\r\n\r\n- Install tensorflows correct version for your system from [Tensorflow](https://www.tensorflow.org/install)\r\n\r\n### Video drivers for PyQt5\r\n\r\n- Windows only, Linux currently not supported\r\n- Recommended\r\n- Download [here](https://codecguide.com/download_k-lite_codec_pack_basic.htm)\r\n\r\n### Only for GPU use:\r\n\r\n- CUDA\r\n- CUDNN\r\n\r\n## Execution\r\n\r\nTo run VAMOS+, execute the \"vamos_plus.py\" file with python and make sure all of the above packages are correctly installed.\r\n\r\n## Known Linux issues\r\n\r\n- Working with VAMOS+ on Linux has some performance benefits over Windows, but also comes with some missing features, such as the video player in the results window or the video preview during the analysis\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flinussorg%2Fvamos-plus","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flinussorg%2Fvamos-plus","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flinussorg%2Fvamos-plus/lists"}