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Minor fix

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AlexeyAB 2019-05-17 02:17:55 +03:00
parent 335ae91568
commit 4b1ecfb419
2 changed files with 4 additions and 1 deletions
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README.md
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@ -14,7 +14,7 @@ More details: http://pjreddie.com/darknet/yolo/
* [Requirements (and how to install dependecies)](#requirements)
* [Pre-trained models](#pre-trained-models)
* [Explanations in issues](https://github.com/AlexeyAB/darknet/issues?q=is%3Aopen+is%3Aissue+label%3AExplanations)
* [Yolo v3 in other frameworks (TensorFlow, PyTorch, OpenVINO, OpenCV-dnn,...)](#yolo-v3-in-other-frameworks)
* [Yolo v3 in other frameworks (TensorRT, TensorFlow, PyTorch, OpenVINO, OpenCV-dnn,...)](#yolo-v3-in-other-frameworks)
0. [Improvements in this repository](#improvements-in-this-repository)
1. [How to use](#how-to-use-on-the-command-line)
@ -78,6 +78,7 @@ You can get cfg-files by path: `darknet/cfg/`
* **Intel OpenVINO 2019 R1:** (Myriad X / USB Neural Compute Stick / Arria FPGA): read this [manual](https://software.intel.com/en-us/articles/OpenVINO-Using-TensorFlow#converting-a-darknet-yolo-model)
* **OpenCV-dnn** is a very fast DNN implementation on CPU (x86/ARM-Android), use `yolov3.weights`/`cfg` with: [C++ example](https://github.com/opencv/opencv/blob/8c25a8eb7b10fb50cda323ee6bec68aa1a9ce43c/samples/dnn/object_detection.cpp#L192-L221), [Python example](https://github.com/opencv/opencv/blob/8c25a8eb7b10fb50cda323ee6bec68aa1a9ce43c/samples/dnn/object_detection.py#L129-L150)
* **PyTorch > ONNX > CoreML > iOS** how to convert cfg/weights-files to pt-file: [ultralytics/yolov3](https://github.com/ultralytics/yolov3#darknet-conversion) and [iOS App](https://itunes.apple.com/app/id1452689527)
* **TensorRT** for YOLOv3 (-70% faster inference): [TensorRT & DeepStream](https://github.com/NVIDIA-AI-IOT/deepstream_reference_apps)
##### Examples of results

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scripts/README.md
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@ -12,6 +12,8 @@ ImageNet (ILSVRC2012): http://www.image-net.org/challenges/LSVRC/2012/nonpub-dow
ImageNet (ILSVRC2015): http://image-net.org/small/download.php
ImageNet VID: http://bvisionweb1.cs.unc.edu/ilsvrc2015/download-videos-3j16.php
Open Images: https://storage.googleapis.com/openimages/web/download.html
Cityscapes: https://www.cityscapes-dataset.com/