Python FocalPoint.from_square方法代码示例

# 需要导入模块: from thumbor.point import FocalPoint [as 别名]
# 或者: from thumbor.point.FocalPoint import from_square [as 别名]
            def should_append_the_returned_focal_points_to_context_request(self, topic):
                focal_point1_repr = FocalPoint.from_square(1, 2, 3, 4).to_dict()
                focal_point2_repr = FocalPoint.from_square(5, 6, 7, 8).to_dict()

                calls = topic.context.request.focal_points.append.call_args_list

                first_call_arg_repr = calls[0][0][0].to_dict()
                secon_call_arg_repr = calls[1][0][0].to_dict()

                expect(first_call_arg_repr).to_equal(focal_point1_repr)
                expect(secon_call_arg_repr).to_equal(focal_point2_repr)

# 需要导入模块: from thumbor.point import FocalPoint [as 别名]
# 或者: from thumbor.point.FocalPoint import from_square [as 别名]
 def features_to_focal_points(cls, features):
     focal_points = []
     for (left, top, width, height), neighbors in features:
         top = cls.add_hair_offset(top, height)
         focal_points.append(
             FocalPoint.from_square(left, top, width, height, origin="Face Detection"))
     return focal_points

# 需要导入模块: from thumbor.point import FocalPoint [as 别名]
# 或者: from thumbor.point.FocalPoint import from_square [as 别名]
    def detect(self, context):
        features = self.get_features(context)

        if features:
            for (left, top, width, height), neighbors in features:
                context['focal_points'].append(FocalPoint.from_square(left, top, width, height))
        else:
            self.next(context)

# 需要导入模块: from thumbor.point import FocalPoint [as 别名]
# 或者: from thumbor.point.FocalPoint import from_square [as 别名]
    def detect(self, callback):
        features = self.get_features()

        if features:
            for square, neighbors in features:
                self.context.request.focal_points.append(FocalPoint.from_square(*square))
            callback()
        else:
            self.next(callback)

# 需要导入模块: from thumbor.point import FocalPoint [as 别名]
# 或者: from thumbor.point.FocalPoint import from_square [as 别名]
    def extract_focal(self):
        parts = self.parse_url(self.context.request.image_url)
        if parts:
            image, top, right, left, bottom = parts
            top, right, left, bottom = int(top), int(right), int(left), int(bottom)

            width = right - left
            height = bottom - top
            self.context.request.focal_points.append(
                FocalPoint.from_square(left, top, width, height, origin="Original Extraction")
            )
            self.context.request.image_url = image

# 需要导入模块: from thumbor.point import FocalPoint [as 别名]
# 或者: from thumbor.point.FocalPoint import from_square [as 别名]
    def detect(self, callback):
        features = self.get_features()

        if features:
            for (left, top, width, height), neighbors in features:
                top = self.__add_hair_offset(top, height)
                self.context.request.focal_points.append(
                    FocalPoint.from_square(left, top, width, height, origin="Face Detection")
                )
            callback()
        else:
            self.next(callback)

# 需要导入模块: from thumbor.point import FocalPoint [as 别名]
# 或者: from thumbor.point.FocalPoint import from_square [as 别名]
    def focal(self, focal_string):
        parsed = self.focal_regex.match(focal_string)

        if parsed:
            left, top, right, bottom = parsed.groups()
            left, top, right, bottom = int(left), int(top), int(right), int(bottom)
            width = right - left
            height = bottom - top

            if width and height:
                self.context.request.focal_points.append(
                    FocalPoint.from_square(left, top, width, height, origin="Explicit")
                )

# 需要导入模块: from thumbor.point import FocalPoint [as 别名]
# 或者: from thumbor.point.FocalPoint import from_square [as 别名]
    def detect(self, context):
        size = context['engine'].size
        image_header = cv.CreateImageHeader(size, cv.IPL_DEPTH_8U, 3)
        cv.SetData(image_header, Image.open(StringIO(context['buffer'])).tostring())
        
        grayscale = cv.CreateImage(size, 8, 1)
        cv.CvtColor(image_header, grayscale, cv.CV_BGR2GRAY)
        cv.EqualizeHist(grayscale, grayscale)
        faces = cv.HaarDetectObjects(grayscale, Detector.cascade, cv.CreateMemStorage(), 1.1, 3, cv.CV_HAAR_DO_CANNY_PRUNING, (30, 30))

        if faces:
            for face in faces:
                left, top, width, height = face[0]
                top = self.__add_hair_offset(top, height)
                context['focal_points'].append(FocalPoint.from_square(left, top, width, height))
        else:
            self.next(context)

# 需要导入模块: from thumbor.point import FocalPoint [as 别名]
# 或者: from thumbor.point.FocalPoint import from_square [as 别名]
    def detect(self, callback):
        try:
            features = self.get_features()
        except Exception:
            logger.warn('Error during face detection; skipping to next detector')
            self.next(callback)
            return

        if features:
            for (left, top, width, height), neighbors in features:
                top = self.__add_hair_offset(top, height)
                self.context.request.focal_points.append(
                    FocalPoint.from_square(left, top, width, height, origin="Face Detection")
                )
            callback()
        else:
            self.next(callback)

# 需要导入模块: from thumbor.point import FocalPoint [as 别名]
# 或者: from thumbor.point.FocalPoint import from_square [as 别名]
 def test_new_point_square_point(self):
     point = FocalPoint.from_square(x=350, y=50, width=110, height=110)
     expect(point.x).to_equal(405)
     expect(point.y).to_equal(105)
     expect(point.weight).to_equal(12100)

# 需要导入模块: from thumbor.point import FocalPoint [as 别名]
# 或者: from thumbor.point.FocalPoint import from_square [as 别名]
        def config_context(context):
            image_w, image_h = expected.size[0], expected.size[1]
            point = FocalPoint.from_square(50, 50, image_w - 100, image_h - 100, origin='Face Detection')

            context.request.focal_points = [point]

# 需要导入模块: from thumbor.point import FocalPoint [as 别名]
# 或者: from thumbor.point.FocalPoint import from_square [as 别名]
 def topic(self):
     return FocalPoint.from_square(0, 300, 300, 300)

# 需要导入模块: from thumbor.point import FocalPoint [as 别名]
# 或者: from thumbor.point.FocalPoint import from_square [as 别名]
 def topic(self):
     return FocalPoint.from_square(350, 50, 110, 110)

# 需要导入模块: from thumbor.point import FocalPoint [as 别名]
# 或者: from thumbor.point.FocalPoint import from_square [as 别名]
def test_from_square():
    point = FocalPoint.from_square(x=10.0, y=20.0, width=100, height=200)
    assert point.x == 55.0
    assert point.y == 110.0
    assert point.weight == 20000.0

# 需要导入模块: from thumbor.point import FocalPoint [as 别名]
# 或者: from thumbor.point.FocalPoint import from_square [as 别名]
 def topic(self):
     return FocalPoint.from_square(x=350, y=50, width=110, height=110)