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--- |
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license: gpl-3.0 |
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datasets: |
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- detection-datasets/coco |
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--- |
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# Introduction |
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This repository stores the model for YOLOv5m6 (TI Lite), compatible with Kalray's neural network API. </br> |
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Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br> |
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# Contents |
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- ONNX: yolov5m6.optimized.onnx |
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# Lecture note reference |
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# Repository or links references |
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- repository: https://github.com/TexasInstruments/edgeai-yolov5/tree/main |
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- configuration : https://github.com/TexasInstruments/edgeai-yolov5/blob/main/pretrained_models/checkpoints/detection/coco/edgeai-yolov5/yolov5m6_640_ti_lite/opt.yaml |
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- weights: https://github.com/TexasInstruments/edgeai-yolov5/blob/main/pretrained_models/checkpoints/detection/coco/edgeai-yolov5/yolov5m6_640_ti_lite/weights/best.pt.link |
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BibTeX entry and citation info |
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``` |
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@software{yolov5, |
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title = {Ultralytics YOLOv5}, |
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author = {Glenn Jocher}, |
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year = {2020}, |
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version = {7.0}, |
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license = {AGPL-3.0}, |
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url = {https://github.com/ultralytics/yolov5}, |
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doi = {10.5281/zenodo.3908559}, |
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orcid = {0000-0001-5950-6979} |
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} |
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``` |
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