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ultralytics 8.0.42 DDP fix and Docs updates (#1065)

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Glenn Jocher
2023-02-20 12:56:20 +01:00
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parent f6e393c1d2
commit f2a7a29e53
33 changed files with 196 additions and 93 deletions
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9
examples/README.md
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@ -2,10 +2,11 @@ This is a list of real-world applications and walkthroughs. These can be folders
## Ultralytics YOLO example applications
| Title | Format | Contributor |
| --------------------------------------------------------------- | ------------------ | --------------------------------------------------- |
| [Yolov8/yolov5 ONNX Inference with C++](./YOLOv8-CPP-Inference) | C++/ONNX | [Justas Bartnykas](https://github.com/JustasBart) |
| [YOLOv8-OpenCV-ONNX-Python](./YOLOv8-OpenCV-ONNX-Python) | OpenCV/Python/ONNX | [Farid Inawan](https://github.com/frdteknikelektro) |
| Title | Format | Contributor |
| ------------------------------------------------------------------------ | ------------------ | --------------------------------------------------- |
| [YOLO ONNX detection Inference with C++](./YOLOv8_CPP_Inference) | C++/ONNX | [Justas Bartnykas](https://github.com/JustasBart) |
| [YOLO OpenCV ONNX detection Python](./YOLOv8-OpenCV-ONNX-Python) | OpenCV/Python/ONNX | [Farid Inawan](https://github.com/frdteknikelektro) |
| [YOLO .Net ONNX detection C#](https://www.nuget.org/packages/Yolov8.Net) | C# .Net | [Samuel Stainback](https://github.com/sstainba) |
## How can you contribute ?

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examples/tutorial.ipynb
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@ -123,7 +123,7 @@
"Downloading https://ultralytics.com/images/zidane.jpg to zidane.jpg...\n",
"100% 165k/165k [00:00<00:00, 87.4MB/s]\n",
"image 1/1 /content/zidane.jpg: 384x640 2 persons, 1 tie, 13.3ms\n",
"Speed: 0.5ms pre-process, 13.3ms inference, 43.5ms postprocess per image at shape (1, 3, 640, 640)\n",
"Speed: 0.5ms preprocess, 13.3ms inference, 43.5ms postprocess per image at shape (1, 3, 640, 640)\n",
"Results saved to \u001b[1mruns/detect/predict\u001b[0m\n"
]
}
@ -268,7 +268,7 @@
" scissors 128 1 1 0 0.249 0.0746\n",
" teddy bear 128 21 0.877 0.333 0.591 0.394\n",
" toothbrush 128 5 0.743 0.6 0.638 0.374\n",
"Speed: 2.4ms pre-process, 7.8ms inference, 0.0ms loss, 3.3ms post-process per image\n"
"Speed: 2.4ms preprocess, 7.8ms inference, 0.0ms loss, 3.3ms postprocess per image\n"
]
}
]
@ -439,7 +439,7 @@
" scissors 128 1 1 0 0.142 0.0426\n",
" teddy bear 128 21 0.587 0.476 0.63 0.458\n",
" toothbrush 128 5 0.784 0.736 0.898 0.544\n",
"Speed: 2.0ms pre-process, 4.0ms inference, 0.0ms loss, 2.5ms post-process per image\n",
"Speed: 2.0ms preprocess, 4.0ms inference, 0.0ms loss, 2.5ms postprocess per image\n",
"Results saved to \u001b[1mruns/detect/train\u001b[0m\n"
]
}