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Code Packages Releases Wiki Activity

documentation: avoid links to 'master' branch from 3.4 maintenance branch

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This commit is contained in:
Alexander Alekhin
2018-05-31 16:45:18 +03:00
parent 49321a233c
commit 9ba9358ecb
61 changed files with 118 additions and 118 deletions
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samples/cpp/facial_features.cpp
+1 -1
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@@ -89,7 +89,7 @@ static void help()
"\tThis will detect only the face in image.jpg.\n";
cout << " \n\nThe classifiers for face and eyes can be downloaded from : "
" \nhttps://github.com/opencv/opencv/tree/master/data/haarcascades";
" \nhttps://github.com/opencv/opencv/tree/3.4/data/haarcascades";
cout << "\n\nThe classifiers for nose and mouth can be downloaded from : "
" \nhttps://github.com/opencv/opencv_contrib/tree/master/modules/face/data/cascades\n";
samples/dnn/README.md
+3 -3
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@@ -7,7 +7,7 @@
| Model | Scale | Size WxH| Mean subtraction | Channels order |
|---------------|-------|-----------|--------------------|-------|
| [MobileNet-SSD, Caffe](https://github.com/chuanqi305/MobileNet-SSD/) | `0.00784 (2/255)` | `300x300` | `127.5 127.5 127.5` | BGR |
| [OpenCV face detector](https://github.com/opencv/opencv/tree/master/samples/dnn/face_detector) | `1.0` | `300x300` | `104 177 123` | BGR |
| [OpenCV face detector](https://github.com/opencv/opencv/tree/3.4/samples/dnn/face_detector) | `1.0` | `300x300` | `104 177 123` | BGR |
| [SSDs from TensorFlow](https://github.com/tensorflow/models/tree/master/research/object_detection/) | `0.00784 (2/255)` | `300x300` | `127.5 127.5 127.5` | RGB |
| [YOLO](https://pjreddie.com/darknet/yolo/) | `0.00392 (1/255)` | `416x416` | `0 0 0` | RGB |
| [VGG16-SSD](https://github.com/weiliu89/caffe/tree/ssd) | `1.0` | `300x300` | `104 117 123` | BGR |
@@ -17,7 +17,7 @@
| [Faster-RCNN, InceptionV2 backbone](https://github.com/tensorflow/models/tree/master/research/object_detection/) | `0.00784 (2/255)` | `300x300` | `127.5 127.5 127.5` | RGB |
#### Face detection
[An origin model](https://github.com/opencv/opencv/tree/master/samples/dnn/face_detector)
[An origin model](https://github.com/opencv/opencv/tree/3.4/samples/dnn/face_detector)
with single precision floating point weights has been quantized using [TensorFlow framework](https://www.tensorflow.org/).
To achieve the best accuracy run the model on BGR images resized to `300x300` applying mean subtraction
of values `(104, 177, 123)` for each blue, green and red channels correspondingly.
@@ -60,4 +60,4 @@ AR @[ IoU=0.50:0.95 | area= large | maxDets=100 ] | 0.528 | 0.528 |
* [Models downloading script](https://github.com/opencv/opencv_extra/blob/master/testdata/dnn/download_models.py)
* [Configuration files adopted for OpenCV](https://github.com/opencv/opencv_extra/tree/master/testdata/dnn)
* [How to import models from TensorFlow Object Detection API](https://github.com/opencv/opencv/wiki/TensorFlow-Object-Detection-API)
* [Names of classes from different datasets](https://github.com/opencv/opencv/tree/master/samples/data/dnn)
* [Names of classes from different datasets](https://github.com/opencv/opencv/tree/3.4/samples/data/dnn)