def tstInvert(db,img):
' inverted images have a horizontal line at .3 instead of .7 '
height, width = img.shape[:2]
lines = findLines(img,300,30)#(img,300,30)
v7 = 0 ; v3 = 0; # maxA = 0 ; skew = []; mxlen =0
if not lines.any: return(180)
for line in lines:
for x1,y1,x2,y2 in line :
## angle = np.arctan2( y2-y1 , x2-x1 ) * 180 / np.pi # in deg
yh = round( y2 / float(height),1 ) # % dist on y axis
#if db: print 'yh is ' , yh
if yh == 0.3: v3 = v3 + 1
elif yh == 0.7: v7 = v7 + 1
# end for in line
#end for line in lines
if db:
print 'V3 {} V7 {} lines found {} '.format(v3, v7, len(lines))
cvs(db,img)
if( v3 > v7):
return( 180)
else:
return(0 ) # largest < 2 deg
cv2.imshow('image',img)
k = cv2.waitKey(1) & 0xFF
if k == 27:
cvd()
break
if k == ord('s'):
# hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
print 'minline {} maxgap {} '.format(r,g)
fil = "img3c.png"
#fil = 'lineTest.png'
db = False
img = cv2.imread(fil)
minline = r
maxgap = g
lines = findLines(img,minline,maxgap,v) # 300 30
if lines is not None and lines.any:
print '{} lines found '.format(len(lines))
for i,xx in enumerate (lines):
if i > 10: break
for x1,y1,x2,y2 in xx:
angle = np.arctan2( y2-y1 , x2-x1 ) * 180 / np.pi # angle in deg
#print 'x1,y1 {},{}\t x2,y2 {},{} \tangle {}'.format(x1,y1,x2,y2,angle)
cv2.line(img,(x1,y1),(x2,y2),(0,255,255),2)
else: print 'no lines found',
r = cv2.getTrackbarPos('minline','image')
g = cv2.getTrackbarPos('maxgap','image')
v = cv2.getTrackbarPos('votes','image')