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Update turtorial.ipynb
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Chilicyy authored Feb 1, 2023
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4 changes: 1 addition & 3 deletions turtorial.ipynb
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"\n",
"YOLOv6 is a single-stage object detection framework dedicated to industrial applications, with hardware-friendly efficient design and high performance.\n",
"\n",
"YOLOv6-nano achieves 35.0 mAP on COCO val2017 dataset with 1242 FPS on T4 using TensorRT FP16 for bs32 inference, and YOLOv6-s achieves 43.1 mAP on COCO val2017 dataset with 520 FPS on T4 using TensorRT FP16 for bs32 inference.\n",
"\n",
"YOLOv6 is composed of the following methods:\n",
"\n",
"Hardware-friendly Design for Backbone and Neck\n",
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"source": [
"# Download a pretrained model\n",
"import torch\n",
"torch.hub.download_url_to_file('https://github.com/meituan/YOLOv6/releases/download/0.2.0/yolov6s.pt', 'yolov6s.pt')"
"torch.hub.download_url_to_file('https://github.com/meituan/YOLOv6/releases/download/0.3.0/yolov6s.pt', 'yolov6s.pt')"
],
"metadata": {
"id": "g2LM77g4i-TK",
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