def detectEndGesture(defects, contour, contourProps):
positiveDefects = 0
for defect in defects:
start_i, end_i, far_i, distancePointHull = defect[0]
distancePointHull = round(distancePointHull/256.0)
end = tuple(contour[end_i][0])
#line from center of contour to convexhull point
center = (int(contourProps["Centroid"][0]), int(contourProps["Centroid"][1]))
# relations of gesture
distanceCenterHull = tools.getDistanceBetweenPoints(center, end)
relationCenterHull_EndHull = (distanceCenterHull/distancePointHull)
relationCenterHull_ClosestPerimeter = (distanceCenterHull/cv2.pointPolygonTest(contour, center, True))
if( (relationCenterHull_EndHull > 10.0) and (relationCenterHull_ClosestPerimeter <= 2.0)):
positiveDefects = positiveDefects + 1
return positiveDefects
def drawDefects(image, defects, contour, contourProps):
#try:
center = (int(contourProps["Centroid"][0]), int(contourProps["Centroid"][1]))
for defect in defects:
start_i, end_i, far_i, distance = defect[0]
distance = round(distance/256.0)
start = tuple(contour[start_i][0])
end = tuple(contour[end_i][0])
far = tuple(contour[far_i][0])
#convexhull
cv2.line(image, start, end, [0,0,255], 1)
#line from farthest point to convexhull
cv2.line(image, far, end, [0,0,255], 1)
#line from center of contour to convexhull point
cv2.line(image, end, center, [255,0,255], 1)
#points
cv2.circle(image, end, 5, [0,0,255], -1)
cv2.circle(image, far, 5, [0,0,255], -1)
#write distance between hull and farthest point
tools.setText(image, end, str(distance))
distanceCenterHull = tools.getDistanceBetweenPoints(center, end)
centerLine = tools.getMidPointInLine(center, end)
tools.setText(image, centerLine, str(distanceCenterHull))
