def getAngle(self, image):
img_tmp = cv.CreateMat(image.height, image.width, cv.CV_8UC1)
cv.Copy(image, img_tmp)
img_cont = cv.CreateMat(image.height, image.width, cv.CV_8UC3)
img_hull = cv.CreateMat(image.height, image.width, cv.CV_8UC3)
cv.Zero(img_hull)
cv.CvtColor(image, img_cont, cv.CV_GRAY2BGR)
contour = cv.FindContours(
img_tmp, cv.CreateMemStorage(), mode=cv.CV_RETR_EXTERNAL, method=cv.CV_CHAIN_APPROX_NONE
)
cv.DrawContours(img_cont, contour, (255, 0, 0), (0, 255, 0), 0, thickness=2)
cv.FillConvexPoly(img_cont, contour, (255, 255, 255), lineType=8, shift=0)
rect = cv.BoundingRect(contour)
cv.Rectangle(
img_cont, (int(rect[0]), int(rect[1])), (int(rect[0] + rect[2]), int(rect[1] + rect[3])), (0, 255, 0)
)
line = cv.FitLine(contour, cv.CV_DIST_L2, 0, 0.01, 0.01)
v0, v1, x0, x1 = line
pt0 = int(x0 + 200 * v0), int(x1 + 200 * v1)
pt1 = int(x0 - 200 * v0), int(x1 - 200 * v1)
u0 = 0
u1 = 1
u = (u0, u1)
pt2 = int(x0 + 200 * u0), int(x1 + 200 * u1)
pt3 = int(x0 - 200 * u0), int(x1 - 200 * u1)
v = (v0, v1)
c = np.dot(u, v) / np.linalg.norm(u) / np.linalg.norm(v)
angle = np.arccos(c)
angle *= 180 / np.pi
cv.Line(img_cont, pt0, pt1, (0, 0, 255), thickness=2, lineType=8, shift=0)
cv.Line(img_cont, pt2, pt3, (0, 140, 255), thickness=2, lineType=8, shift=0)
font = cv.InitFont(cv.CV_FONT_HERSHEY_COMPLEX_SMALL, 1.0, 1.0, thickness=1)
cv.PutText(img_cont, "Legend:", (10, 20), font, (255, 255, 255))
font = cv.InitFont(cv.CV_FONT_HERSHEY_COMPLEX_SMALL, 0.7, 0.7, thickness=1)
cv.PutText(img_cont, "Contour", (10, 50), font, (255, 0, 0))
cv.PutText(img_cont, "Bounding Rectangle", (10, 70), font, (0, 255, 0))
cv.PutText(img_cont, "Fitted Line", (10, 90), font, (0, 0, 255))
cv.PutText(img_cont, "Reference Line", (10, 110), font, (0, 140, 255))
Logger.addImage(img_cont, "Geometry")
pv.addColor(img_cont, "geometry")
return img_cont, angle
def run(self):
pu = ProcessUnit()
mu = MatchingUnit()
image = self.get_cam_pic()
img_orig = cv.CreateMat(image.height,image.width,cv.CV_8UC3)
cv.Copy(image,img_orig)
Logger.addImage(img_orig, "img_original")
processed = pu.processImage(image)
angle = mu.run(processed)
self.showResult(image,angle)
pv.showPictures()
Logger.logImages()
def showResult(self,image,angle):
if angle < 20:
mood = "Amazing!!!"
elif angle < 67:
mood = "Good!"
elif angle < 112:
mood = "Meh .."
elif angle < 155:
mood = "Bad."
else:
mood = "Catastrophic!!"
font = cv.InitFont(cv.CV_FONT_HERSHEY_DUPLEX,1.0,1.0,thickness=2)
cv.PutText(image, mood, (50,50) , font, (0,255,255))
Logger.addImage(image, "Result")
pv.addColor(image,"result")
def fillHand(self,img,point): img_tmp = cv.CreateMat(img.height, img.width, cv.CV_8UC1) img_fill = cv.CreateMat(img.height, img.width, cv.CV_8UC1) kernell=cv.CreateStructuringElementEx(7,7,3,3, cv.CV_SHAPE_RECT) img_open = cv.CreateMat(img.height, img.width, cv.CV_8UC1) cv.MorphologyEx(img,img_open, img_tmp, kernell, cv.CV_MOP_CLOSE, 2 ) Logger.addImage(img_open, "img_opened") pv.addBinary(img_open,"opened") cv.Copy(img_open,img_fill) cv.FloodFill(img_fill,point,(120)) Logger.addImage(img_fill, "img_filled") cv.Threshold(img_fill, img_fill, 130, 255.0 , cv.CV_THRESH_TOZERO_INV) cv.Threshold(img_fill, img_fill, 100, 255.0 , cv.CV_THRESH_BINARY) return img_fill
def applyModelToImage(self,img,model,point): img_hsv = cv.CreateMat(img.height, img.width, cv.CV_8UC3) img_out = cv.CreateMat(img.height, img.width, cv.CV_8UC1) img_bin = cv.CreateMat(img.height, img.width, cv.CV_8UC1) img_ero = cv.CreateMat(img.height, img.width, cv.CV_8UC1) img_fill = cv.CreateMat(img.height, img.width, cv.CV_8UC1) img_smooth = cv.CreateMat(img.height, img.width, cv.CV_8UC1) cv.CvtColor(img,img_hsv,cv.CV_BGR2HSV) Logger.addImage(img_hsv, "img_hsv") pv.addColor(img_hsv,"hsv") h_plane=cv.CreateMat(img.height, img.width, cv.CV_8UC1) s_plane=cv.CreateMat(img.height, img.width, cv.CV_8UC1) cv.Split(img_hsv, h_plane, s_plane, None, None) planes = [h_plane, s_plane] cv.CalcBackProject([cv.GetImage(i) for i in planes],img_out,model) cv.Threshold(img_out, img_bin, 10, 255.0 , cv.CV_THRESH_BINARY) Logger.addImage(img_bin, "img_binary") pv.addBinary(img_bin,"binary") cv.Erode(img_bin,img_ero,iterations=2) Logger.addImage(img_ero, "img_eroded") cv.Smooth(img_ero,img_smooth,smoothtype=cv.CV_MEDIAN,param1=7) Logger.addImage(img_smooth, "img_median") pv.addBinary(img_smooth,"median") return img_smooth
