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Merge pull request #15608 from SimpleVlad:3.4
* Add flags for build js * Add poi.json * Rebase whitelist into JSON file * Rework generator of white_list * Fix small typos * Transfer opencv_js.josn in opencv_js.config.py * Edit OPENCV_JS_WHITELIST * Write comment * Add description * Fix typos in desc * flag's append deleeted * Fix whitespace * variable deleted * fix comment on lines 229 and 235
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Dizhenin Vlad
Alexander Alekhin
parent
bad4e5c3eb
commit
edc5518f68
@ -93,58 +93,6 @@ ignore_list = ['locate', #int&
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'meanShift' #Rect&
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]
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# Classes and methods whitelist
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core = {'': ['absdiff', 'add', 'addWeighted', 'bitwise_and', 'bitwise_not', 'bitwise_or', 'bitwise_xor', 'cartToPolar',\
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'compare', 'convertScaleAbs', 'copyMakeBorder', 'countNonZero', 'determinant', 'dft', 'divide', 'eigen', \
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'exp', 'flip', 'getOptimalDFTSize','gemm', 'hconcat', 'inRange', 'invert', 'kmeans', 'log', 'magnitude', \
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'max', 'mean', 'meanStdDev', 'merge', 'min', 'minMaxLoc', 'mixChannels', 'multiply', 'norm', 'normalize', \
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'perspectiveTransform', 'polarToCart', 'pow', 'randn', 'randu', 'reduce', 'repeat', 'rotate', 'setIdentity', 'setRNGSeed', \
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'solve', 'solvePoly', 'split', 'sqrt', 'subtract', 'trace', 'transform', 'transpose', 'vconcat'],
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'Algorithm': []}
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imgproc = {'': ['Canny', 'GaussianBlur', 'Laplacian', 'HoughLines', 'HoughLinesP', 'HoughCircles', 'Scharr','Sobel', \
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'adaptiveThreshold','approxPolyDP','arcLength','bilateralFilter','blur','boundingRect','boxFilter',\
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'calcBackProject','calcHist','circle','compareHist','connectedComponents','connectedComponentsWithStats', \
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'contourArea', 'convexHull', 'convexityDefects', 'cornerHarris','cornerMinEigenVal','createCLAHE', \
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'createLineSegmentDetector','cvtColor','demosaicing','dilate', 'distanceTransform','distanceTransformWithLabels', \
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'drawContours','ellipse','ellipse2Poly','equalizeHist','erode', 'filter2D', 'findContours','fitEllipse', \
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'fitLine', 'floodFill','getAffineTransform', 'getPerspectiveTransform', 'getRotationMatrix2D', 'getStructuringElement', \
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'goodFeaturesToTrack','grabCut','initUndistortRectifyMap', 'integral','integral2', 'isContourConvex', 'line', \
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'matchShapes', 'matchTemplate','medianBlur', 'minAreaRect', 'minEnclosingCircle', 'moments', 'morphologyEx', \
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'pointPolygonTest', 'putText','pyrDown','pyrUp','rectangle','remap', 'resize','sepFilter2D','threshold', \
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'undistort','warpAffine','warpPerspective','warpPolar','watershed', \
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'fillPoly', 'fillConvexPoly'],
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'CLAHE': ['apply', 'collectGarbage', 'getClipLimit', 'getTilesGridSize', 'setClipLimit', 'setTilesGridSize']}
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objdetect = {'': ['groupRectangles'],
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'HOGDescriptor': ['load', 'HOGDescriptor', 'getDefaultPeopleDetector', 'getDaimlerPeopleDetector', 'setSVMDetector', 'detectMultiScale'],
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'CascadeClassifier': ['load', 'detectMultiScale2', 'CascadeClassifier', 'detectMultiScale3', 'empty', 'detectMultiScale']}
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video = {'': ['CamShift', 'calcOpticalFlowFarneback', 'calcOpticalFlowPyrLK', 'createBackgroundSubtractorMOG2', \
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'findTransformECC', 'meanShift'],
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'BackgroundSubtractorMOG2': ['BackgroundSubtractorMOG2', 'apply'],
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'BackgroundSubtractor': ['apply', 'getBackgroundImage']}
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dnn = {'dnn_Net': ['setInput', 'forward'],
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'': ['readNetFromCaffe', 'readNetFromTensorflow', 'readNetFromTorch', 'readNetFromDarknet',
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'readNetFromONNX', 'readNet', 'blobFromImage']}
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features2d = {'Feature2D': ['detect', 'compute', 'detectAndCompute', 'descriptorSize', 'descriptorType', 'defaultNorm', 'empty', 'getDefaultName'],
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'BRISK': ['create', 'getDefaultName'],
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'ORB': ['create', 'setMaxFeatures', 'setScaleFactor', 'setNLevels', 'setEdgeThreshold', 'setFirstLevel', 'setWTA_K', 'setScoreType', 'setPatchSize', 'getFastThreshold', 'getDefaultName'],
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'MSER': ['create', 'detectRegions', 'setDelta', 'getDelta', 'setMinArea', 'getMinArea', 'setMaxArea', 'getMaxArea', 'setPass2Only', 'getPass2Only', 'getDefaultName'],
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'FastFeatureDetector': ['create', 'setThreshold', 'getThreshold', 'setNonmaxSuppression', 'getNonmaxSuppression', 'setType', 'getType', 'getDefaultName'],
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'AgastFeatureDetector': ['create', 'setThreshold', 'getThreshold', 'setNonmaxSuppression', 'getNonmaxSuppression', 'setType', 'getType', 'getDefaultName'],
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'GFTTDetector': ['create', 'setMaxFeatures', 'getMaxFeatures', 'setQualityLevel', 'getQualityLevel', 'setMinDistance', 'getMinDistance', 'setBlockSize', 'getBlockSize', 'setHarrisDetector', 'getHarrisDetector', 'setK', 'getK', 'getDefaultName'],
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# 'SimpleBlobDetector': ['create'],
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'KAZE': ['create', 'setExtended', 'getExtended', 'setUpright', 'getUpright', 'setThreshold', 'getThreshold', 'setNOctaves', 'getNOctaves', 'setNOctaveLayers', 'getNOctaveLayers', 'setDiffusivity', 'getDiffusivity', 'getDefaultName'],
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'AKAZE': ['create', 'setDescriptorType', 'getDescriptorType', 'setDescriptorSize', 'getDescriptorSize', 'setDescriptorChannels', 'getDescriptorChannels', 'setThreshold', 'getThreshold', 'setNOctaves', 'getNOctaves', 'setNOctaveLayers', 'getNOctaveLayers', 'setDiffusivity', 'getDiffusivity', 'getDefaultName'],
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'DescriptorMatcher': ['add', 'clear', 'empty', 'isMaskSupported', 'train', 'match', 'knnMatch', 'radiusMatch', 'clone', 'create'],
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'BFMatcher': ['isMaskSupported', 'create'],
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'': ['drawKeypoints', 'drawMatches', 'drawMatchesKnn']}
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calib3d = {'': ['findHomography', 'estimateAffine2D', 'Rodrigues']}
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def makeWhiteList(module_list):
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wl = {}
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for m in module_list:
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@ -155,7 +103,9 @@ def makeWhiteList(module_list):
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wl[k] = m[k]
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return wl
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white_list = makeWhiteList([core, imgproc, objdetect, video, dnn, features2d, calib3d])
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white_list = None
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exec(open(os.environ["OPENCV_JS_WHITELIST"]).read())
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assert(white_list)
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# Features to be exported
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export_enums = False
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@ -138,6 +138,8 @@ class Builder:
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"-DBUILD_PACKAGE=OFF",
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"-DBUILD_TESTS=OFF",
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"-DBUILD_PERF_TESTS=OFF"]
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if self.options.cmake_option:
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cmd += self.options.cmake_option
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if self.options.build_doc:
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cmd.append("-DBUILD_DOCS=ON")
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else:
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@ -178,6 +180,8 @@ class Builder:
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flags += "-s DISABLE_EXCEPTION_CATCHING=0 "
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if self.options.simd:
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flags += "-msimd128 "
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if self.options.build_flags:
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flags += self.options.build_flags
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return flags
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def config(self):
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@ -221,12 +225,22 @@ if __name__ == "__main__":
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parser.add_argument('--skip_config', action="store_true", help="Skip cmake config")
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parser.add_argument('--config_only', action="store_true", help="Only do cmake config")
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parser.add_argument('--enable_exception', action="store_true", help="Enable exception handling")
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# Use flag --cmake option="-D...=ON" only for one argument, if you would add more changes write new cmake_option flags
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parser.add_argument('--cmake_option', action='append', help="Append CMake options")
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# Use flag --build_flags="-s USE_PTHREADS=0 -Os" for one and more arguments as in the example
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parser.add_argument('--build_flags', help="Append Emscripten build options")
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parser.add_argument('--build_wasm_intrin_test', default=False, action="store_true", help="Build WASM intrin tests")
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# Write a path to modify file like argument of this flag
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parser.add_argument('--config', default=os.path.join(os.path.dirname(os.path.abspath(__file__)), 'opencv_js.config.py'),
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help="Specify configuration file with own list of exported into JS functions")
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args = parser.parse_args()
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log.basicConfig(format='%(message)s', level=log.DEBUG)
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log.debug("Args: %s", args)
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os.environ["OPENCV_JS_WHITELIST"] = args.config
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if args.emscripten_dir is None:
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log.info("Cannot get Emscripten path, please specify it either by EMSCRIPTEN environment variable or --emscripten_dir option.")
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sys.exit(-1)
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52
platforms/js/opencv_js.config.py
Normal file
52
platforms/js/opencv_js.config.py
Normal file
@ -0,0 +1,52 @@
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core = {'': ['absdiff', 'add', 'addWeighted', 'bitwise_and', 'bitwise_not', 'bitwise_or', 'bitwise_xor', 'cartToPolar',\
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'compare', 'convertScaleAbs', 'copyMakeBorder', 'countNonZero', 'determinant', 'dft', 'divide', 'eigen', \
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'exp', 'flip', 'getOptimalDFTSize','gemm', 'hconcat', 'inRange', 'invert', 'kmeans', 'log', 'magnitude', \
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'max', 'mean', 'meanStdDev', 'merge', 'min', 'minMaxLoc', 'mixChannels', 'multiply', 'norm', 'normalize', \
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'perspectiveTransform', 'polarToCart', 'pow', 'randn', 'randu', 'reduce', 'repeat', 'rotate', 'setIdentity', 'setRNGSeed', \
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'solve', 'solvePoly', 'split', 'sqrt', 'subtract', 'trace', 'transform', 'transpose', 'vconcat'],
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'Algorithm': []}
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imgproc = {'': ['Canny', 'GaussianBlur', 'Laplacian', 'HoughLines', 'HoughLinesP', 'HoughCircles', 'Scharr','Sobel', \
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'adaptiveThreshold','approxPolyDP','arcLength','bilateralFilter','blur','boundingRect','boxFilter',\
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'calcBackProject','calcHist','circle','compareHist','connectedComponents','connectedComponentsWithStats', \
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'contourArea', 'convexHull', 'convexityDefects', 'cornerHarris','cornerMinEigenVal','createCLAHE', \
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'createLineSegmentDetector','cvtColor','demosaicing','dilate', 'distanceTransform','distanceTransformWithLabels', \
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'drawContours','ellipse','ellipse2Poly','equalizeHist','erode', 'filter2D', 'findContours','fitEllipse', \
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'fitLine', 'floodFill','getAffineTransform', 'getPerspectiveTransform', 'getRotationMatrix2D', 'getStructuringElement', \
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'goodFeaturesToTrack','grabCut','initUndistortRectifyMap', 'integral','integral2', 'isContourConvex', 'line', \
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'matchShapes', 'matchTemplate','medianBlur', 'minAreaRect', 'minEnclosingCircle', 'moments', 'morphologyEx', \
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'pointPolygonTest', 'putText','pyrDown','pyrUp','rectangle','remap', 'resize','sepFilter2D','threshold', \
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'undistort','warpAffine','warpPerspective','warpPolar','watershed', \
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'fillPoly', 'fillConvexPoly'],
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'CLAHE': ['apply', 'collectGarbage', 'getClipLimit', 'getTilesGridSize', 'setClipLimit', 'setTilesGridSize']}
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objdetect = {'': ['groupRectangles'],
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'HOGDescriptor': ['load', 'HOGDescriptor', 'getDefaultPeopleDetector', 'getDaimlerPeopleDetector', 'setSVMDetector', 'detectMultiScale'],
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'CascadeClassifier': ['load', 'detectMultiScale2', 'CascadeClassifier', 'detectMultiScale3', 'empty', 'detectMultiScale']}
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video = {'': ['CamShift', 'calcOpticalFlowFarneback', 'calcOpticalFlowPyrLK', 'createBackgroundSubtractorMOG2', \
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'findTransformECC', 'meanShift'],
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'BackgroundSubtractorMOG2': ['BackgroundSubtractorMOG2', 'apply'],
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'BackgroundSubtractor': ['apply', 'getBackgroundImage']}
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dnn = {'dnn_Net': ['setInput', 'forward'],
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'': ['readNetFromCaffe', 'readNetFromTensorflow', 'readNetFromTorch', 'readNetFromDarknet',
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'readNetFromONNX', 'readNet', 'blobFromImage']}
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features2d = {'Feature2D': ['detect', 'compute', 'detectAndCompute', 'descriptorSize', 'descriptorType', 'defaultNorm', 'empty', 'getDefaultName'],
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'BRISK': ['create', 'getDefaultName'],
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'ORB': ['create', 'setMaxFeatures', 'setScaleFactor', 'setNLevels', 'setEdgeThreshold', 'setFirstLevel', 'setWTA_K', 'setScoreType', 'setPatchSize', 'getFastThreshold', 'getDefaultName'],
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'MSER': ['create', 'detectRegions', 'setDelta', 'getDelta', 'setMinArea', 'getMinArea', 'setMaxArea', 'getMaxArea', 'setPass2Only', 'getPass2Only', 'getDefaultName'],
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'FastFeatureDetector': ['create', 'setThreshold', 'getThreshold', 'setNonmaxSuppression', 'getNonmaxSuppression', 'setType', 'getType', 'getDefaultName'],
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'AgastFeatureDetector': ['create', 'setThreshold', 'getThreshold', 'setNonmaxSuppression', 'getNonmaxSuppression', 'setType', 'getType', 'getDefaultName'],
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'GFTTDetector': ['create', 'setMaxFeatures', 'getMaxFeatures', 'setQualityLevel', 'getQualityLevel', 'setMinDistance', 'getMinDistance', 'setBlockSize', 'getBlockSize', 'setHarrisDetector', 'getHarrisDetector', 'setK', 'getK', 'getDefaultName'],
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# 'SimpleBlobDetector': ['create'],
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'KAZE': ['create', 'setExtended', 'getExtended', 'setUpright', 'getUpright', 'setThreshold', 'getThreshold', 'setNOctaves', 'getNOctaves', 'setNOctaveLayers', 'getNOctaveLayers', 'setDiffusivity', 'getDiffusivity', 'getDefaultName'],
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'AKAZE': ['create', 'setDescriptorType', 'getDescriptorType', 'setDescriptorSize', 'getDescriptorSize', 'setDescriptorChannels', 'getDescriptorChannels', 'setThreshold', 'getThreshold', 'setNOctaves', 'getNOctaves', 'setNOctaveLayers', 'getNOctaveLayers', 'setDiffusivity', 'getDiffusivity', 'getDefaultName'],
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'DescriptorMatcher': ['add', 'clear', 'empty', 'isMaskSupported', 'train', 'match', 'knnMatch', 'radiusMatch', 'clone', 'create'],
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'BFMatcher': ['isMaskSupported', 'create'],
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'': ['drawKeypoints', 'drawMatches', 'drawMatchesKnn']}
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calib3d = {'': ['findHomography', 'estimateAffine2D', 'Rodrigues']}
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white_list = makeWhiteList([core, imgproc, objdetect, video, dnn, features2d, calib3d])
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