def find_convex_hull(ctx): defects, defect_array = False, False i,x,y,dist = 0,0,0,0 ctx.hull = False if type(ctx.contour) != 'numpy.ndarray': return #ctx.hull = cv.cvConvexHull2(ctx.contour, ctx.hull_st, cv.CV_CLOCKWISE, 0) cv2.convexHull(ctx.contour, ctx.hull_st, 1, ctx.hull) #Python: cv2.convexHull(points[, hull[, clockwise[, returnPoints]]]) hull #C: CvSeq* cvConvexHull2(const CvArr* input, void* hull_storage=NULL, int orientation=CV_CLOCKWISE, int return_points=0 ) if ctx.hull: ctx.contour = toIpl(ctx.contour) defects = cv2.cv.ConvexityDefects(ctx.contour, ctx.hull, ctx.defects_st) #defects = cv.cvConvexityDefects(ctx.contour, ctx.hull, ctx.defects_st) #C++: void convexityDefects(InputArray contour, InputArray convexhull, OutputArray convexityDefects) #Python: cv2.convexityDefects(contour, convexhull[, convexityDefects]) convexityDefects if defects and defects.total: defect_array = calloc(defects.total, sizeof(cv.cvConvexityDefect)) cv.cvCvtSeqToArray(defects, defect_array, cv.CV_WHOLE_SEQ) for i in NUM_DEFECTS: x += i.depth_point.x y += i.depth_point.y ctx.defects[i] = cv.cvPoint(i.depth_point.x, i.depth_point.y) x /= defects.total y /= defects.total ctx.num_defects = defects.total ctx.hand_center = cv.cvPoint(x,y) for i in defects.total: d = (x - i.depth_point.x) * (x - i.depth_point.x) + (y - i.depth_point.y) * (y - i.depth_point.y) dist += sqrt(d) ctx.hand_radius = dist / defects.total del defect_array
def ellipse(self, dx, dy, width, height, color = (0, 255, 0), border = -1, line = 8):
"""Draw a ellipse on image"""
rotation = 0
start_angle = 0
stop_angle = 360
shift = 0
cv.Ellipse(self.frame,
cv.cvPoint (dx, dy),
cv.cvSize(width, height),
rotation, start_angle, stop_angle, color, border, line, shift)
def ellipse(self,
dx,
dy,
width,
height,
color=(0, 255, 0),
border=-1,
line=8):
"""Draw a ellipse on image"""
rotation = 0
start_angle = 0
stop_angle = 360
shift = 0
cv.Ellipse(self.frame, cv.cvPoint(dx, dy), cv.cvSize(width,
height), rotation,
start_angle, stop_angle, color, border, line, shift)
def display(ctx):
i = False
if ctx.num_fingers == NUM_FINGERS:
if SHOW_HAND_CONTOUR:
cv.cvDrawContours(ctx.image, ctx.contour, cv.CV_RGB(0,0,255), cv.CV_RGB(0,255,0), 0, 1, cv.CV_AA, cv.cvPoint(0,0))
cv.cvCircle(ctx.image, ctx.hand_center, 5, cv.CV_RGB(255,0,255), 1, CV_AA,0)
cv.cvCircle(ctx.image, ctx.hand_center, ctx.hand_radius, cv.CV_RGB(255,0,0), 1, CV_AA, 0)
for i in ctx.num_fingers:
cv.cvCircle(ctx.image, ctx.fingers[i], 10, cv.CV_RGB(0,255,0), 3, cv.CV_AA, 0)
cv.cvLine(ctx.image, ctx.hand_center, ctx.fingers[i], cv.CV_RGB(255,255,0), 1, cv.CV_AA, 0)
for i in ctx.num_defects:
cv.cvCircle(ctx.image, ctx.defects[i], 2, cv.CV_RGB(200,200,200), 2, cv.CV_AA, 0)
ctx.image = toNumpy(ctx.image)
cv2.imshow("output", ctx.image)
ctx.thr_image = toNumpy(ctx.thr_image)
cv2.imshow("thresholded", ctx.thr_image)
