mirror of
https://github.com/opencv/opencv.git
synced 2026-07-21 19:33:03 +04:00
fix 3.4 links
This commit is contained in:
Alexander Alekhin
@@ -116,7 +116,7 @@ swapRB = false;
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needSoftmax = false;
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// url for label file, can from local or Internet
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labelsUrl = "https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/classification_classes_ILSVRC2012.txt";
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labelsUrl = "https://raw.githubusercontent.com/opencv/opencv/3.4/samples/data/dnn/classification_classes_ILSVRC2012.txt";
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</script>
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<script id="codeSnippet1" type="text/code-snippet">
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@@ -6,7 +6,7 @@
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"std": "1",
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"swapRB": "false",
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"needSoftmax": "false",
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"labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/classification_classes_ILSVRC2012.txt",
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"labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/3.4/samples/data/dnn/classification_classes_ILSVRC2012.txt",
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"modelUrl": "http://dl.caffe.berkeleyvision.org/bvlc_alexnet.caffemodel",
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"configUrl": "https://raw.githubusercontent.com/BVLC/caffe/master/models/bvlc_alexnet/deploy.prototxt"
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},
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@@ -16,7 +16,7 @@
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"std": "0.007843",
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"swapRB": "false",
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"needSoftmax": "true",
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"labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/classification_classes_ILSVRC2012.txt",
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"labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/3.4/samples/data/dnn/classification_classes_ILSVRC2012.txt",
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"modelUrl": "https://drive.google.com/open?id=0B7ubpZO7HnlCcHlfNmJkU2VPelE",
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"configUrl": "https://raw.githubusercontent.com/shicai/DenseNet-Caffe/master/DenseNet_121.prototxt"
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},
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@@ -26,7 +26,7 @@
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"std": "1",
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"swapRB": "false",
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"needSoftmax": "false",
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"labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/classification_classes_ILSVRC2012.txt",
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"labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/3.4/samples/data/dnn/classification_classes_ILSVRC2012.txt",
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"modelUrl": "http://dl.caffe.berkeleyvision.org/bvlc_googlenet.caffemodel",
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"configUrl": "https://raw.githubusercontent.com/BVLC/caffe/master/models/bvlc_googlenet/deploy.prototxt"
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},
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@@ -36,7 +36,7 @@
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"std": "1",
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"swapRB": "false",
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"needSoftmax": "false",
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"labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/classification_classes_ILSVRC2012.txt",
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"labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/3.4/samples/data/dnn/classification_classes_ILSVRC2012.txt",
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"modelUrl": "https://raw.githubusercontent.com/forresti/SqueezeNet/master/SqueezeNet_v1.0/squeezenet_v1.0.caffemodel",
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"configUrl": "https://raw.githubusercontent.com/forresti/SqueezeNet/master/SqueezeNet_v1.0/deploy.prototxt"
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},
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@@ -46,7 +46,7 @@
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"std": "1",
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"swapRB": "false",
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"needSoftmax": "false",
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"labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/classification_classes_ILSVRC2012.txt",
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"labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/3.4/samples/data/dnn/classification_classes_ILSVRC2012.txt",
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"modelUrl": "http://www.robots.ox.ac.uk/~vgg/software/very_deep/caffe/VGG_ILSVRC_19_layers.caffemodel",
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"configUrl": "https://gist.githubusercontent.com/ksimonyan/3785162f95cd2d5fee77/raw/f02f8769e64494bcd3d7e97d5d747ac275825721/VGG_ILSVRC_19_layers_deploy.prototxt"
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}
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@@ -116,7 +116,7 @@ swapRB = false;
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needSoftmax = false;
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// url for label file, can from local or Internet
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labelsUrl = "https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/classification_classes_ILSVRC2012.txt";
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labelsUrl = "https://raw.githubusercontent.com/opencv/opencv/3.4/samples/data/dnn/classification_classes_ILSVRC2012.txt";
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</script>
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<script id="codeSnippet1" type="text/code-snippet">
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@@ -94,7 +94,7 @@ nmsThreshold = 0.4;
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outType = "SSD";
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// url for label file, can from local or Internet
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labelsUrl = "https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/object_detection_classes_pascal_voc.txt";
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labelsUrl = "https://raw.githubusercontent.com/opencv/opencv/3.4/samples/data/dnn/object_detection_classes_pascal_voc.txt";
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</script>
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<script id="codeSnippet1" type="text/code-snippet">
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@@ -7,7 +7,7 @@
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"std": "0.007843",
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"swapRB": "false",
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"outType": "SSD",
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"labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/object_detection_classes_pascal_voc.txt",
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"labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/3.4/samples/data/dnn/object_detection_classes_pascal_voc.txt",
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"modelUrl": "https://raw.githubusercontent.com/chuanqi305/MobileNet-SSD/master/mobilenet_iter_73000.caffemodel",
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"configUrl": "https://raw.githubusercontent.com/chuanqi305/MobileNet-SSD/master/deploy.prototxt"
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},
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@@ -18,7 +18,7 @@
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"std": "1",
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"swapRB": "false",
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"outType": "SSD",
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"labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/object_detection_classes_pascal_voc.txt",
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"labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/3.4/samples/data/dnn/object_detection_classes_pascal_voc.txt",
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"modelUrl": "https://drive.google.com/uc?id=0BzKzrI_SkD1_WVVTSmQxU0dVRzA&export=download",
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"configUrl": "https://drive.google.com/uc?id=0BzKzrI_SkD1_WVVTSmQxU0dVRzA&export=download"
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}
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@@ -31,7 +31,7 @@
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"std": "0.00392",
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"swapRB": "false",
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"outType": "YOLO",
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"labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/object_detection_classes_yolov3.txt",
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"labelsUrl": "https://raw.githubusercontent.com/opencv/opencv/3.4/samples/data/dnn/object_detection_classes_yolov3.txt",
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"modelUrl": "https://pjreddie.com/media/files/yolov2-tiny.weights",
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"configUrl": "https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/yolov2-tiny.cfg"
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}
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@@ -94,7 +94,7 @@ nmsThreshold = 0.4;
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outType = "SSD";
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// url for label file, can from local or Internet
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labelsUrl = "https://raw.githubusercontent.com/opencv/opencv/master/samples/data/dnn/object_detection_classes_pascal_voc.txt";
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labelsUrl = "https://raw.githubusercontent.com/opencv/opencv/3.4/samples/data/dnn/object_detection_classes_pascal_voc.txt";
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</script>
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<script id="codeSnippet1" type="text/code-snippet">
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@@ -333,7 +333,7 @@ function installDOM(){
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### Execute it ###
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- Save the file as `exampleNodeCanvasData.js`.
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- Make sure the files `aarcascade_frontalface_default.xml` and `haarcascade_eye.xml` are present in project's directory. They can be obtained from [OpenCV sources](https://github.com/opencv/opencv/tree/master/data/haarcascades).
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- Make sure the files `aarcascade_frontalface_default.xml` and `haarcascade_eye.xml` are present in project's directory. They can be obtained from [OpenCV sources](https://github.com/opencv/opencv/tree/3.4/data/haarcascades).
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- Make sure a sample image file `lena.jpg` exists in project's directory. It should display people's faces for this example to make sense. The following image is known to work:
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@@ -4,7 +4,9 @@ Using OpenCV.js {#tutorial_js_usage}
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Steps
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-----
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In this tutorial, you will learn how to include and start to use `opencv.js` inside a web page. You can get a copy of `opencv.js` from `opencv-{VERSION_NUMBER}-docs.zip` in each [release](https://github.com/opencv/opencv/releases), or simply download the prebuilt script from the online documentations at "https://docs.opencv.org/{VERSION_NUMBER}/opencv.js" (For example, [https://docs.opencv.org/3.4.0/opencv.js](https://docs.opencv.org/3.4.0/opencv.js). Use `master` if you want the latest build). You can also build your own copy by following the tutorial on Build Opencv.js.
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In this tutorial, you will learn how to include and start to use `opencv.js` inside a web page.
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You can get a copy of `opencv.js` from `opencv-{VERSION_NUMBER}-docs.zip` in each [release](https://github.com/opencv/opencv/releases), or simply download the prebuilt script from the online documentations at "https://docs.opencv.org/{VERSION_NUMBER}/opencv.js" (For example, [https://docs.opencv.org/3.4.0/opencv.js](https://docs.opencv.org/3.4.0/opencv.js). Use `3.4` if you want the latest build).
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You can also build your own copy by following the tutorial @ref tutorial_js_setup.
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### Create a web page
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@@ -95,7 +95,7 @@ QR faster than SVD, but potentially less precise
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- *camera_resolution*: resolution of camera which is used for calibration
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**Note:** *charuco_dict*, *charuco_square_length* and *charuco_marker_size* are used for chAruco pattern generation
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(see Aruco module description for details: [Aruco tutorials](https://github.com/opencv/opencv_contrib/tree/master/modules/aruco/tutorials))
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(see Aruco module description for details: [Aruco tutorials](https://github.com/opencv/opencv_contrib/tree/3.4/modules/aruco/tutorials))
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Default chAruco pattern:
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@@ -23,7 +23,7 @@ Explanation
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-----------
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-# Firstly, download GoogLeNet model files:
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[bvlc_googlenet.prototxt ](https://github.com/opencv/opencv_extra/blob/master/testdata/dnn/bvlc_googlenet.prototxt) and
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[bvlc_googlenet.prototxt](https://github.com/opencv/opencv_extra/blob/3.4/testdata/dnn/bvlc_googlenet.prototxt) and
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[bvlc_googlenet.caffemodel](http://dl.caffe.berkeleyvision.org/bvlc_googlenet.caffemodel)
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Also you need file with names of [ILSVRC2012](http://image-net.org/challenges/LSVRC/2012/browse-synsets) classes:
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@@ -38,7 +38,7 @@ correspondingly. In example, for variable `x` in range `[0, 10)` directive
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`split: { x: 2 }` gives new ones `xo` in range `[0, 5)` and `xi` in range `[0, 2)`.
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Variable name `x` is no longer available in the same scheduling node.
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You can find scheduling examples at [opencv_extra/testdata/dnn](https://github.com/opencv/opencv_extra/tree/master/testdata/dnn)
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You can find scheduling examples at [opencv_extra/testdata/dnn](https://github.com/opencv/opencv_extra/tree/3.4/testdata/dnn)
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and use it for schedule your networks.
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## Layers fusing
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@@ -273,7 +273,7 @@ Results
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Compile the code above and execute it (or run the script if using python) with an image as argument.
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If you do not provide an image as argument the default sample image
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([LinuxLogo.jpg](https://github.com/opencv/opencv/tree/master/samples/data/LinuxLogo.jpg)) will be used.
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([LinuxLogo.jpg](https://github.com/opencv/opencv/tree/3.4/samples/data/LinuxLogo.jpg)) will be used.
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For instance, using this image:
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@@ -23,7 +23,7 @@ Code
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to populate our image with a big number of geometric figures. Since we will be initializing them
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in a random fashion, this process will be automatic and made by using *loops* .
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- This code is in your OpenCV sample folder. Otherwise you can grab it from
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[here](http://code.opencv.org/projects/opencv/repository/revisions/master/raw/samples/cpp/tutorial_code/core/Matrix/Drawing_2.cpp)
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[here](https://github.com/opencv/opencv/blob/3.4/samples/cpp/tutorial_code/ImgProc/basic_drawing/Drawing_2.cpp)
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Explanation
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-----------
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