EdgeHistogramComputer.py 文件源码

def compute(self, frame):
        frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
        descriptor = []
        dominantGradients = np.zeros_like(frame)
        maxGradient = cv2.filter2D(frame, cv2.CV_32F, self.kernels[0])
        maxGradient = np.absolute(maxGradient)
        for k in range(1,len(self.kernels)):
            kernel = self.kernels[k]
            gradient = cv2.filter2D(frame, cv2.CV_32F, kernel)
            gradient = np.absolute(gradient)
            np.maximum(maxGradient, gradient, maxGradient)
            indices = (maxGradient == gradient)
            dominantGradients[indices] = k

        frameH, frameW = frame.shape
        for row in range(self.rows):
            for col in range(self.cols):
                mask = np.zeros_like(frame)
                mask[((frameH/self.rows)*row):((frameH/self.rows)*(row+1)),(frameW/self.cols)*col:((frameW/self.cols)*(col+1))] = 255
                hist = cv2.calcHist([dominantGradients], [0], mask, self.bins, self.range)
                hist = cv2.normalize(hist, None)
                descriptor.append(hist)
        return np.concatenate([x for x in descriptor])