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fix 4.x links
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‎README.md

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* Homepage: <https://opencv.org>
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* Courses: <https://opencv.org/courses>
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* Docs: <https://docs.opencv.org/master/>
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* Docs: <https://docs.opencv.org/4.x/>
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* Q&A forum: <https://forum.opencv.org>
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* previous forum (read only): <http://answers.opencv.org>
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* Issue tracking: <https://github.com/opencv/opencv/issues>

‎apps/opencv_stitching_tool/opencv_stitching/blender.py

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@@ -36,11 +36,11 @@ def prepare(self, corners, sizes):
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self.blender.prepare(dst_sz)
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def feed(self, img, mask, corner):
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"""https://docs.opencv.org/master/d6/d4a/classcv_1_1detail_1_1Blender.html#a64837308bcf4e414a6219beff6cbe37a""" # noqa
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"""https://docs.opencv.org/4.x/d6/d4a/classcv_1_1detail_1_1Blender.html#a64837308bcf4e414a6219beff6cbe37a""" # noqa
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self.blender.feed(cv.UMat(img.astype(np.int16)), mask, corner)
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def blend(self):
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"""https://docs.opencv.org/master/d6/d4a/classcv_1_1detail_1_1Blender.html#aa0a91ce0d6046d3a63e0123cbb1b5c00""" # noqa
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"""https://docs.opencv.org/4.x/d6/d4a/classcv_1_1detail_1_1Blender.html#aa0a91ce0d6046d3a63e0123cbb1b5c00""" # noqa
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result = None
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result_mask = None
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result, result_mask = self.blender.blend(result, result_mask)

‎apps/opencv_stitching_tool/opencv_stitching/camera_adjuster.py

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class CameraAdjuster:
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"""https://docs.opencv.org/master/d5/d56/classcv_1_1detail_1_1BundleAdjusterBase.html""" # noqa
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"""https://docs.opencv.org/4.x/d5/d56/classcv_1_1detail_1_1BundleAdjusterBase.html""" # noqa
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CAMERA_ADJUSTER_CHOICES = OrderedDict()
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CAMERA_ADJUSTER_CHOICES['ray'] = cv.detail_BundleAdjusterRay

‎apps/opencv_stitching_tool/opencv_stitching/camera_wave_corrector.py

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class WaveCorrector:
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"""https://docs.opencv.org/master/d7/d74/group__stitching__rotation.html#ga83b24d4c3e93584986a56d9e43b9cf7f""" # noqa
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"""https://docs.opencv.org/4.x/d7/d74/group__stitching__rotation.html#ga83b24d4c3e93584986a56d9e43b9cf7f""" # noqa
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WAVE_CORRECT_CHOICES = OrderedDict()
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WAVE_CORRECT_CHOICES['horiz'] = cv.detail.WAVE_CORRECT_HORIZ
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WAVE_CORRECT_CHOICES['vert'] = cv.detail.WAVE_CORRECT_VERT

‎apps/opencv_stitching_tool/opencv_stitching/exposure_error_compensator.py

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)
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def feed(self, *args):
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"""https://docs.opencv.org/master/d2/d37/classcv_1_1detail_1_1ExposureCompensator.html#ae6b0cc69a7bc53818ddea53eddb6bdba""" # noqa
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"""https://docs.opencv.org/4.x/d2/d37/classcv_1_1detail_1_1ExposureCompensator.html#ae6b0cc69a7bc53818ddea53eddb6bdba""" # noqa
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self.compensator.feed(*args)
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def apply(self, *args):
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"""https://docs.opencv.org/master/d2/d37/classcv_1_1detail_1_1ExposureCompensator.html#a473eaf1e585804c08d77c91e004f93aa""" # noqa
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"""https://docs.opencv.org/4.x/d2/d37/classcv_1_1detail_1_1ExposureCompensator.html#a473eaf1e585804c08d77c91e004f93aa""" # noqa
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return self.compensator.apply(*args)

‎apps/opencv_stitching_tool/opencv_stitching/feature_matcher.py

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@@ -15,13 +15,13 @@ def __init__(self,
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**kwargs):
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if matcher_type == "affine":
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"""https://docs.opencv.org/master/d3/dda/classcv_1_1detail_1_1AffineBestOf2NearestMatcher.html""" # noqa
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"""https://docs.opencv.org/4.x/d3/dda/classcv_1_1detail_1_1AffineBestOf2NearestMatcher.html""" # noqa
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self.matcher = cv.detail_AffineBestOf2NearestMatcher(**kwargs)
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elif range_width == -1:
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"""https://docs.opencv.org/master/d4/d26/classcv_1_1detail_1_1BestOf2NearestMatcher.html""" # noqa
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"""https://docs.opencv.org/4.x/d4/d26/classcv_1_1detail_1_1BestOf2NearestMatcher.html""" # noqa
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self.matcher = cv.detail.BestOf2NearestMatcher_create(**kwargs)
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else:
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"""https://docs.opencv.org/master/d8/d72/classcv_1_1detail_1_1BestOf2NearestRangeMatcher.html""" # noqa
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"""https://docs.opencv.org/4.x/d8/d72/classcv_1_1detail_1_1BestOf2NearestRangeMatcher.html""" # noqa
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self.matcher = cv.detail.BestOf2NearestRangeMatcher_create(
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range_width, **kwargs
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)

‎apps/opencv_stitching_tool/opencv_stitching/seam_finder.py

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class SeamFinder:
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"""https://docs.opencv.org/master/d7/d09/classcv_1_1detail_1_1SeamFinder.html""" # noqa
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"""https://docs.opencv.org/4.x/d7/d09/classcv_1_1detail_1_1SeamFinder.html""" # noqa
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SEAM_FINDER_CHOICES = OrderedDict()
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SEAM_FINDER_CHOICES['dp_color'] = cv.detail_DpSeamFinder('COLOR')
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SEAM_FINDER_CHOICES['dp_colorgrad'] = cv.detail_DpSeamFinder('COLOR_GRAD')
@@ -19,7 +19,7 @@ def __init__(self, finder=DEFAULT_SEAM_FINDER):
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self.finder = SeamFinder.SEAM_FINDER_CHOICES[finder]
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def find(self, imgs, corners, masks):
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"""https://docs.opencv.org/master/d0/dd5/classcv_1_1detail_1_1DpSeamFinder.html#a7914624907986f7a94dd424209a8a609""" # noqa
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"""https://docs.opencv.org/4.x/d0/dd5/classcv_1_1detail_1_1DpSeamFinder.html#a7914624907986f7a94dd424209a8a609""" # noqa
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imgs_float = [img.astype(np.float32) for img in imgs]
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return self.finder.find(imgs_float, corners, masks)
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‎apps/opencv_stitching_tool/opencv_stitching/test/SAMPLE_IMAGES_TO_DOWNLOAD.txt

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https://github.com/opencv/opencv_extra/tree/master/testdata/stitching
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https://github.com/opencv/opencv_extra/tree/4.x/testdata/stitching
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s1.jpg s2.jpg
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boat1.jpg boat2.jpg boat3.jpg boat4.jpg boat5.jpg boat6.jpg

‎apps/opencv_stitching_tool/opencv_stitching/test/stitching_detailed.py

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sizes = []
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blender = None
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timelapser = None
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# https://github.com/opencv/opencv/blob/master/samples/cpp/stitching_detailed.cpp#L725 ?
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# https://github.com/opencv/opencv/blob/4.x/samples/cpp/stitching_detailed.cpp#L725 ?
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for idx, name in enumerate(img_names):
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full_img = cv.imread(name)
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if not is_compose_scale_set:

‎apps/opencv_stitching_tool/opencv_stitching/timelapser.py

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)
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def initialize(self, *args):
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"""https://docs.opencv.org/master/dd/dac/classcv_1_1detail_1_1Timelapser.html#aaf0f7c4128009f02473332a0c41f6345""" # noqa
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"""https://docs.opencv.org/4.x/dd/dac/classcv_1_1detail_1_1Timelapser.html#aaf0f7c4128009f02473332a0c41f6345""" # noqa
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self.timelapser.initialize(*args)
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def process_and_save_frame(self, img_name, img, corner):

‎apps/opencv_stitching_tool/opencv_stitching/warper.py

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def update_scale(self, scale):
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if scale is not None and scale != self.scale:
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self.warper = cv.PyRotationWarper(self.warper_type, scale) # setScale not working: https://docs.opencv.org/master/d5/d76/classcv_1_1PyRotationWarper.html#a90b000bb75f95294f9b0b6ec9859eb55
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self.warper = cv.PyRotationWarper(self.warper_type, scale) # setScale not working: https://docs.opencv.org/4.x/d5/d76/classcv_1_1PyRotationWarper.html#a90b000bb75f95294f9b0b6ec9859eb55
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self.scale = scale
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@staticmethod

‎doc/js_tutorials/js_assets/js_image_classification.html

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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/4.x/samples/data/dnn/classification_classes_ILSVRC2012.txt";
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</script>
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<script id="codeSnippet1" type="text/code-snippet">

‎doc/js_tutorials/js_assets/js_image_classification_model_info.json

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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/4.x/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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"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/4.x/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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"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/4.x/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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"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/4.x/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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"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/4.x/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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}

‎doc/js_tutorials/js_assets/js_image_classification_webnn_polyfill.html

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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/4.x/samples/data/dnn/classification_classes_ILSVRC2012.txt";
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</script>
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<script id="codeSnippet1" type="text/code-snippet">

‎doc/js_tutorials/js_assets/js_image_classification_with_camera.html

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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/4.x/samples/data/dnn/classification_classes_ILSVRC2012.txt";
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<script id="codeSnippet1" type="text/code-snippet">

‎doc/js_tutorials/js_assets/js_object_detection.html

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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/4.x/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">

‎doc/js_tutorials/js_assets/js_object_detection_model_info.json

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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/4.x/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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"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/4.x/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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"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/4.x/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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}

‎doc/js_tutorials/js_assets/js_object_detection_with_camera.html

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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/4.x/samples/data/dnn/object_detection_classes_pascal_voc.txt";
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‎doc/js_tutorials/js_assets/webnn-electron/js_image_classification_webnn_electron.html

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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/4.x/samples/data/dnn/classification_classes_ILSVRC2012.txt";
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‎doc/js_tutorials/js_setup/js_nodejs/js_nodejs.markdown

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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/4.x/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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![image](lena.jpg)

‎doc/js_tutorials/js_setup/js_usage/js_usage.markdown

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Steps
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-----
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7-
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/4.5.0/opencv.js](https://docs.opencv.org/4.5.0/opencv.js). Use `4.x` 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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‎doc/py_tutorials/py_ml/py_svm/py_svm_opencv/py_svm_opencv.markdown

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Finally, as in the previous case, we start by splitting our big dataset into individual cells. For
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every digit, 250 cells are reserved for training data and remaining 250 data is reserved for
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testing. Full code is given below, you also can download it from [here](https://github.com/opencv/opencv/tree/master/samples/python/tutorial_code/ml/py_svm_opencv/hogsvm.py):
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testing. Full code is given below, you also can download it from [here](https://github.com/opencv/opencv/tree/4.x/samples/python/tutorial_code/ml/py_svm_opencv/hogsvm.py):
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@include samples/python/tutorial_code/ml/py_svm_opencv/hogsvm.py
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‎doc/tutorials/app/intelperc.markdown

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flag value is assumed by default if neither of the two possible values of the property is set.
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For more information please refer to the example of usage
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[videocapture_realsense.cpp](https://github.com/opencv/opencv/tree/master/samples/cpp/videocapture_realsense.cpp)
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[videocapture_realsense.cpp](https://github.com/opencv/opencv/tree/4.x/samples/cpp/videocapture_realsense.cpp)
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in opencv/samples/cpp folder.

‎doc/tutorials/app/kinect_openni.markdown

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- CAP_OPENNI_DEPTH_GENERATOR_REGISTRATION = CAP_OPENNI_DEPTH_GENERATOR + CAP_PROP_OPENNI_REGISTRATION
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For more information please refer to the example of usage
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[videocapture_openni.cpp](https://github.com/opencv/opencv/tree/master/samples/cpp/videocapture_openni.cpp) in
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[videocapture_openni.cpp](https://github.com/opencv/opencv/tree/4.x/samples/cpp/videocapture_openni.cpp) in
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opencv/samples/cpp folder.

‎doc/tutorials/app/orbbec_astra.markdown

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![Depth frame](images/astra_depth.png)
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The complete implementation can be found in
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[orbbec_astra.cpp](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/videoio/orbbec_astra/orbbec_astra.cpp)
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[orbbec_astra.cpp](https://github.com/opencv/opencv/tree/4.x/samples/cpp/tutorial_code/videoio/orbbec_astra/orbbec_astra.cpp)
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in `samples/cpp/tutorial_code/videoio` directory.

‎doc/tutorials/app/trackbar.markdown

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@add_toggle_cpp
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This tutorial code's is shown lines below. You can also download it from
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[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/HighGUI/AddingImagesTrackbar.cpp)
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[here](https://github.com/opencv/opencv/tree/4.x/samples/cpp/tutorial_code/HighGUI/AddingImagesTrackbar.cpp)
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@include cpp/tutorial_code/HighGUI/AddingImagesTrackbar.cpp
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@end_toggle
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@add_toggle_java
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This tutorial code's is shown lines below. You can also download it from
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[here](https://github.com/opencv/opencv/tree/master/samples/java/tutorial_code/highgui/trackbar/AddingImagesTrackbar.java)
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[here](https://github.com/opencv/opencv/tree/4.x/samples/java/tutorial_code/highgui/trackbar/AddingImagesTrackbar.java)
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@include java/tutorial_code/highgui/trackbar/AddingImagesTrackbar.java
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@end_toggle
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@add_toggle_python
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This tutorial code's is shown lines below. You can also download it from
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[here](https://github.com/opencv/opencv/tree/master/samples/python/tutorial_code/highgui/trackbar/AddingImagesTrackbar.py)
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[here](https://github.com/opencv/opencv/tree/4.x/samples/python/tutorial_code/highgui/trackbar/AddingImagesTrackbar.py)
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@include python/tutorial_code/highgui/trackbar/AddingImagesTrackbar.py
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@end_toggle
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