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ultralytics 8.2.1 adopt v8.2 GitHub assets URL (#10131)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Glenn Jocher 2024-04-17 20:03:46 -07:00 • committed by GitHub
parent f9461d50b0
commit dae4ce8307
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32 changed files with 189 additions and 189 deletions
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2
examples/YOLOv8-ONNXRuntime-CPP/inference.cpp
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@ -240,7 +240,7 @@ char* YOLO_V8::TensorProcess(clock_t& starttime_1, cv::Mat& iImg, N& blob, std::
}
//Note:
//ultralytics add transpose operator to the output of yolov8 model.which make yolov8/v5/v7 has same shape
//https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8n.pt
//https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt
//rowData = rowData.t();
float* data = (float*)rawData.data;

2
examples/tutorial.ipynb
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@ -107,7 +107,7 @@
"output_type": "stream",
"name": "stdout",
"text": [
"Downloading https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8n.pt to 'yolov8n.pt'...\n",
"Downloading https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt to 'yolov8n.pt'...\n",
"100% 6.23M/6.23M [00:00<00:00, 72.6MB/s]\n",
"Ultralytics YOLOv8.1.23 🚀 Python-3.10.12 torch-2.1.0+cu121 CUDA:0 (Tesla T4, 15102MiB)\n",
"YOLOv8n summary (fused): 168 layers, 3151904 parameters, 0 gradients, 8.7 GFLOPs\n",