├── Modelplace-Cloud-API-Python ├── README.md ├── api_utils.py ├── argparser.py ├── data │ ├── demo.gif │ ├── test_image.jpeg │ └── test_video.mp4 ├── main.py ├── modelplace_cloud_api.py ├── requirements.txt └── utils.py ├── OAK-Marketplace-Emotion-Recognition ├── README.md ├── argsparser.py ├── emotion_analyzer.py ├── images │ ├── demo.gif │ ├── emoji │ │ ├── anger.png │ │ ├── happy.png │ │ ├── neutral.png │ │ ├── sad.png │ │ └── surprise.png │ └── overlay.png ├── inference.py ├── main.py ├── requirements.txt └── utils │ ├── utils.py │ └── visualization.py ├── OpenVINO_model_optimization └── quantization_spec.json ├── PyTorch_ONNX_OpenVINO ├── README.md ├── blazeface_numpy.py ├── inference_openvino.py ├── inference_pytorch.py ├── models │ ├── blazeface.bin │ ├── blazeface.xml │ ├── facemesh.bin │ └── facemesh.xml ├── openvino_result.png ├── pytorch_result.png └── requirements.txt ├── README.md ├── TensorFlow_OpenVINO ├── get_frozen_graph.py ├── openvino_inference.py └── 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