This repo is an example of using Triton Inference Server for a deep learning pipeline (detect objects using faster_rnn, then use resnet for classification). You can download Resnet and Faster_rnn weights from this link: https://drive.google.com/drive/folders/1O2We2mLgJMrzzdGj6V7Cz6LEfO89ILmi?usp=sharing. Then rename them to "model.onnx" and place in corresponding "1" folder in "docs/examples/model_repository" for some experiences.
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sydat2701/triton_inference_server_for_detection_and_classification
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