face_detector.py 文件源码

def detectTemplateMatching(self, img):
        self.templateMatchingCurrentTime = cv2.getTickCount()
        duration = (self.templateMatchingCurrentTime - self.templateMatchingStartTime)/cv2.getTickFrequency()
        if duration > settings.templateMatchingDuration or self.trackedFaceTemplate[2] == 0 or self.trackedFaceTemplate[3] == 0:
            self.foundFace = False
            self.isTemplateMatchingRunning = False
            return

        faceTemplate = self.getSubRect(img, self.trackedFaceTemplate)
        roi = self.getSubRect(img, self.trackedFaceROI)
        match = cv2.matchTemplate(roi, faceTemplate, cv2.TM_SQDIFF_NORMED)
        cv2.normalize(match, match, 0, 1, cv2.NORM_MINMAX, -1)


        minVal, maxVal, minLoc, maxLoc = cv2.minMaxLoc(match)
        foundTemplate = (
            minLoc[0] + self.trackedFaceROI[0],
            minLoc[1] + self.trackedFaceROI[1],
            self.trackedFaceTemplate[2],
            self.trackedFaceTemplate[3])

        self.trackedFaceTemplate = foundTemplate
        self.trackedFace = self.scaleRect(self.trackedFaceTemplate, img, 2)
        self.trackedFaceROI = self.scaleRect(self.trackedFace, img, 2)