diff --git a/exp/hough.py b/exp/hough.py
--- a/exp/hough.py
+++ b/exp/hough.py
@@ -41,52 +41,57 @@ def filterDiag(edges):
 
 	return edges1+edges2
 
+def houghLines(bwImg):
+	colorImg=cv.cvtColor(bwImg,cv.COLOR_GRAY2BGR)
+	lines = cv.HoughLinesP(bwImg,1,np.pi/180,10,minLineLength=10,maxLineGap=40)
+	if lines is None: lines=[]
+	for line in lines:
+		x1,y1,x2,y2 = line[0]
+		cv.line(colorImg,(x1,y1),(x2,y2),(0,255,0),1)
 
-i=sys.argv[1]
-annotations=DataFile("/home/laman/Projekty/python/oneEye/images/annotations.json.gz")
-filename="{0}.jpg".format(i)
-img=cv.imread(os.path.join("/home/laman/Projekty/python/oneEye/images/",filename))
-(x1,y1,x2,y2)=computeBoundingBox(annotations[filename][0])
-img=img[y1:y2, x1:x2, :]
-# blurred=cv.GaussianBlur(img,(5,5),0)
-# small=cv.resize(img,None,fx=0.5,fy=0.5,interpolation=cv.INTER_AREA)
-small=img
-clahe = cv.createCLAHE(clipLimit=2.0, tileGridSize=(8,8))
-gray=cv.cvtColor(small,cv.COLOR_BGR2GRAY)
-# gray=clahe.apply(gray)
-show(gray)
-edges=cv.Canny(gray,70,130)
-show(edges)
-edges=filterHor(edges)+filterVert(edges)+filterDiag(edges)
-show(edges)
+	show(colorImg)
 
 
-# kernel = np.ones((2,2),np.uint8)
-# edges = cv.morphologyEx(edges, cv.MORPH_DILATE, kernel)
-# show(edges)
-# edges=cv.morphologyEx(edges,cv.MORPH_ERODE,kernel)
-# show(edges)
-colorEdges=cv.cvtColor(edges,cv.COLOR_GRAY2BGR)
-# show(blurred)
-# show(small)
+if __name__=="__main__":
+	i=sys.argv[1]
+	annotations=DataFile("/home/laman/Projekty/python/oneEye/images/annotations.json.gz")
+	filename="{0}.jpg".format(i)
+	img=cv.imread(os.path.join("/home/laman/Projekty/python/oneEye/images/",filename))
+	(x1,y1,x2,y2)=computeBoundingBox(annotations[filename][0])
+	img=img[y1:y2, x1:x2, :]
+	# blurred=cv.GaussianBlur(img,(5,5),0)
+	# small=cv.resize(img,None,fx=0.5,fy=0.5,interpolation=cv.INTER_AREA)
+	small=img
+	clahe = cv.createCLAHE(clipLimit=2.0, tileGridSize=(8,8))
+	gray=cv.cvtColor(small,cv.COLOR_BGR2GRAY)
+	# gray=clahe.apply(gray)
+	show(gray)
+	edges=cv.Canny(gray,70,130)
+	show(edges)
+	edges=filterHor(edges)+filterVert(edges)+filterDiag(edges)
+	show(edges)
+
 
-# lines = cv.HoughLines(edges,1,np.pi/180,200)
-# if lines is None: lines=[]
-# for line in lines:
-# 	rho,theta = line[0]
-# 	a = np.cos(theta)
-# 	b = np.sin(theta)
-# 	x0 = a*rho
-# 	y0 = b*rho
-# 	x1 = int(x0 + 1000*(-b))
-# 	y1 = int(y0 + 1000*(a))
-# 	x2 = int(x0 - 1000*(-b))
-# 	y2 = int(y0 - 1000*(a))
-# 	cv.line(colorEdges,(x1,y1),(x2,y2),(0,0,255),1)
-lines = cv.HoughLinesP(edges,1,np.pi/180,80,minLineLength=50,maxLineGap=20)
-if lines is None: lines=[]
-for line in lines:
-	x1,y1,x2,y2 = line[0]
-	cv.line(colorEdges,(x1,y1),(x2,y2),(0,255,0),1)
+	# kernel = np.ones((2,2),np.uint8)
+	# edges = cv.morphologyEx(edges, cv.MORPH_DILATE, kernel)
+	# show(edges)
+	# edges=cv.morphologyEx(edges,cv.MORPH_ERODE,kernel)
+	# show(edges)
+	colorEdges=cv.cvtColor(edges,cv.COLOR_GRAY2BGR)
+	# show(blurred)
+	# show(small)
 
-show(colorEdges)
+	# lines = cv.HoughLines(edges,1,np.pi/180,200)
+	# if lines is None: lines=[]
+	# for line in lines:
+	# 	rho,theta = line[0]
+	# 	a = np.cos(theta)
+	# 	b = np.sin(theta)
+	# 	x0 = a*rho
+	# 	y0 = b*rho
+	# 	x1 = int(x0 + 1000*(-b))
+	# 	y1 = int(y0 + 1000*(a))
+	# 	x2 = int(x0 - 1000*(-b))
+	# 	y2 = int(y0 - 1000*(a))
+	# 	cv.line(colorEdges,(x1,y1),(x2,y2),(0,0,255),1)
+	houghLines(edges)