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PINTO0309/PINTO_model_zoo ★ 4595 668 DATA_RESEARCH

This repository is a large model zoo (500+ models) focused on converting and quantizing pre-trained computer vision models for edge deployment across multiple frameworks (TFLite, ONNX, OpenVINO, CoreML, TensorRT). It provides hundreds of download scripts for pre-converted model files, conversion pipelines (PyTorch/ TensorFlow to ONNX/TFLite), and a modest set of inference demo scripts for real-time video processing. The repo is primarily a research/engineering resource for edge AI practitioners, not a software application. It exhibits heavy duplication across model directories, relies on an external S3 bucket for model distribution, and uses older framework versions (TensorFlow 1.x/2.x, ONNX opset 11-13). Despite these maintenance concerns, the systematic conversion workflow and post-processing ONNX subgraph generators (e.g., NMS, box decoding) represent reusable patterns for anyone building end-to-end inference pipelines. The repo is hybrid in nature: while classified as data_research due to its focus on pre-trained model artifacts and lack of original training code, it also contains application-like demo code and CLI entry points.

RATING: 6.7/10 REPRO: 3.0/10 MAINT: maintained DRIFT: medium
#model-zoo #edge-ai #tflite #onnx #model-conversion #computer-vision #quantization #tensorflow #tensorflow-lite #openvino #edgetpu #mediapipe #coreml #tensorflowjs #tf-trt #pytorch #tfjs #models #keras #caffe #pretrained-models #model #tflite-models
▸ 3 reusable components found
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