HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

ultralytics 8.3.0 YOLO11 Models Release (#16539)

Browse source 
Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Laughing-q <1185102784@qq.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
This commit is contained in:
Glenn Jocher 2024-09-30 02:59:20 +02:00 • committed by GitHub
parent efb0c17881
commit 6e43d1e1e5
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
50 changed files with 1154 additions and 407 deletions
Download patch file Download diff file Expand all files Collapse all files

6
examples/YOLOv8-ONNXRuntime-CPP/inference.cpp
View file

@ -238,9 +238,9 @@ char* YOLO_V8::TensorProcess(clock_t& starttime_1, cv::Mat& iImg, N& blob, std::
rawData = cv::Mat(signalResultNum, strideNum, CV_16F, output);
rawData.convertTo(rawData, CV_32F);
}
//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/v8.2.0/yolov8n.pt
// 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/v8.3.0/yolov8n.pt
rawData = rawData.t();
float* data = (float*)rawData.data;

2
examples/tutorial.ipynb
View file

@ -114,7 +114,7 @@
"output_type": "stream",
"name": "stdout",
"text": [
"Downloading https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt to 'yolov8n.pt'...\n",
"Downloading https://github.com/ultralytics/assets/releases/download/v8.3.0/yolov8n.pt to 'yolov8n.pt'...\n",
"100% 6.23M/6.23M [00:00<00:00, 83.2MB/s]\n",
"Ultralytics YOLOv8.2.3 🚀 Python-3.10.12 torch-2.2.1+cu121 CUDA:0 (Tesla T4, 15102MiB)\n",
"YOLOv8n summary (fused): 168 layers, 3151904 parameters, 0 gradients, 8.7 GFLOPs\n",