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JavaScript bindings for features2d module

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This commit is contained in:
Dmitry Kurtaev 2018-09-26 19:11:40 +03:00
parent 43e66e7ff9
commit e9f99063c7
4 changed files with 27 additions and 8 deletions
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2
modules/features2d/CMakeLists.txt
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@ -1,2 +1,2 @@
set(the_description "2D Features Framework") set(the_description "2D Features Framework")
ocv_define_module(features2d opencv_imgproc OPTIONAL opencv_flann opencv_highgui WRAP java python) ocv_define_module(features2d opencv_imgproc OPTIONAL opencv_flann opencv_highgui WRAP java python js)

4
modules/features2d/include/opencv2/features2d.hpp
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@ -137,7 +137,11 @@ public:
/** @brief Abstract base class for 2D image feature detectors and descriptor extractors /** @brief Abstract base class for 2D image feature detectors and descriptor extractors
*/ */
#ifdef __EMSCRIPTEN__
class CV_EXPORTS_W Feature2D : public Algorithm
#else
class CV_EXPORTS_W Feature2D : public virtual Algorithm class CV_EXPORTS_W Feature2D : public virtual Algorithm
#endif
{ {
public: public:
virtual ~Feature2D(); virtual ~Feature2D();

27
modules/js/src/embindgen.py
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@ -126,7 +126,22 @@ video = {'': ['CamShift', 'calcOpticalFlowFarneback', 'calcOpticalFlowPyrLK', 'c
'BackgroundSubtractor': ['apply', 'getBackgroundImage']} 'BackgroundSubtractor': ['apply', 'getBackgroundImage']}
dnn = {'dnn_Net': ['setInput', 'forward'], dnn = {'dnn_Net': ['setInput', 'forward'],
'': ['readNetFromCaffe', 'readNetFromTensorflow', 'readNetFromTorch', 'readNetFromDarknet', 'blobFromImage']} '': ['readNetFromCaffe', 'readNetFromTensorflow', 'readNetFromTorch', 'readNetFromDarknet',
'readNetFromONNX', 'readNet', 'blobFromImage']}
features2d = {'Feature2D': ['detect', 'compute', 'detectAndCompute', 'descriptorSize', 'descriptorType', 'defaultNorm', 'empty', 'getDefaultName'],
'BRISK': ['create', 'getDefaultName'],
'ORB': ['create', 'setMaxFeatures', 'setScaleFactor', 'setNLevels', 'setEdgeThreshold', 'setFirstLevel', 'setWTA_K', 'setScoreType', 'setPatchSize', 'getFastThreshold', 'getDefaultName'],
'MSER': ['create', 'detectRegions', 'setDelta', 'getDelta', 'setMinArea', 'getMinArea', 'setMaxArea', 'getMaxArea', 'setPass2Only', 'getPass2Only', 'getDefaultName'],
'FastFeatureDetector': ['create', 'setThreshold', 'getThreshold', 'setNonmaxSuppression', 'getNonmaxSuppression', 'setType', 'getType', 'getDefaultName'],
'AgastFeatureDetector': ['create', 'setThreshold', 'getThreshold', 'setNonmaxSuppression', 'getNonmaxSuppression', 'setType', 'getType', 'getDefaultName'],
'GFTTDetector': ['create', 'setMaxFeatures', 'getMaxFeatures', 'setQualityLevel', 'getQualityLevel', 'setMinDistance', 'getMinDistance', 'setBlockSize', 'getBlockSize', 'setHarrisDetector', 'getHarrisDetector', 'setK', 'getK', 'getDefaultName'],
# 'SimpleBlobDetector': ['create'],
'KAZE': ['create', 'setExtended', 'getExtended', 'setUpright', 'getUpright', 'setThreshold', 'getThreshold', 'setNOctaves', 'getNOctaves', 'setNOctaveLayers', 'getNOctaveLayers', 'setDiffusivity', 'getDiffusivity', 'getDefaultName'],
'AKAZE': ['create', 'setDescriptorType', 'getDescriptorType', 'setDescriptorSize', 'getDescriptorSize', 'setDescriptorChannels', 'getDescriptorChannels', 'setThreshold', 'getThreshold', 'setNOctaves', 'getNOctaves', 'setNOctaveLayers', 'getNOctaveLayers', 'setDiffusivity', 'getDiffusivity', 'getDefaultName'],
'DescriptorMatcher': ['add', 'clear', 'empty', 'isMaskSupported', 'train', 'match', 'knnMatch', 'radiusMatch', 'clone', 'create'],
'BFMatcher': ['isMaskSupported', 'create'],
'': ['FAST', 'AGAST', 'drawKeypoints', 'drawMatches']}
def makeWhiteList(module_list): def makeWhiteList(module_list):
wl = {} wl = {}
@ -138,7 +153,7 @@ def makeWhiteList(module_list):
wl[k] = m[k] wl[k] = m[k]
return wl return wl
white_list = makeWhiteList([core, imgproc, objdetect, video, dnn]) white_list = makeWhiteList([core, imgproc, objdetect, video, dnn, features2d])
# Features to be exported # Features to be exported
export_enums = False export_enums = False
@ -219,7 +234,8 @@ def handle_ptr(tp):
def handle_vector(tp): def handle_vector(tp):
if tp.startswith('vector_'): if tp.startswith('vector_'):
tp = 'std::vector<' + "::".join(tp.split('_')[1:]) + '>' tp = handle_vector(tp[tp.find('_') + 1:])
tp = 'std::vector<' + "::".join(tp.split('_')) + '>'
return tp return tp
@ -845,13 +861,12 @@ class JSWrapperGenerator(object):
[class_info.cname, property.name]))) [class_info.cname, property.name])))
dv = '' dv = ''
base = Template("""base<$base$isPoly>""") base = Template("""base<$base>""")
assert len(class_info.bases) <= 1 , "multiple inheritance not supported" assert len(class_info.bases) <= 1 , "multiple inheritance not supported"
if len(class_info.bases) == 1: if len(class_info.bases) == 1:
dv = "," + base.substitute(base=', '.join(class_info.bases), dv = "," + base.substitute(base=', '.join(class_info.bases))
isPoly = " ,true" if class_info.name=="Feature2D" else "")
self.bindings.append(class_template.substitute(cpp_name=class_info.cname, self.bindings.append(class_template.substitute(cpp_name=class_info.cname,
js_name=name, js_name=name,

2
platforms/js/build_js.py
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@ -131,7 +131,7 @@ class Builder:
"-DBUILD_opencv_apps=OFF", "-DBUILD_opencv_apps=OFF",
"-DBUILD_opencv_calib3d=OFF", "-DBUILD_opencv_calib3d=OFF",
"-DBUILD_opencv_dnn=ON", "-DBUILD_opencv_dnn=ON",
"-DBUILD_opencv_features2d=OFF", "-DBUILD_opencv_features2d=ON",
"-DBUILD_opencv_flann=OFF", "-DBUILD_opencv_flann=OFF",
"-DBUILD_opencv_ml=OFF", "-DBUILD_opencv_ml=OFF",
"-DBUILD_opencv_photo=OFF", "-DBUILD_opencv_photo=OFF",