def unwarp(img):
# Remap donut to 360 format
print xmap
print ymap
img = Image(img)
output = cv2.remap(img.getNumpyCv2(), xmap, ymap, cv2.INTER_LINEAR)
# Return unwarped image
return output
cv2_img = cv2.imread('edi uveitis final6.png')
scv_img = Image(cv2_img, cv2image=True)
scv_img = scv_img.rotate90()
def threshold(value):
global scv_img
# The t1 parameter is roughly the "strength" of the edge required, and the
# value between t1 and t2 is used for edge linking.
output = scv_img.edges(t1=value)
#output.show()
cv2.imshow(windowTitle, output.getNumpyCv2())
if __name__ == "__main__":
cv2.namedWindow(windowTitle, cv2.WINDOW_NORMAL)
cv2.createTrackbar('Threshold', windowTitle, 0, 1000, threshold)
#output.show()
#imgs.addDrawingLayer(output.dl())
#cv2_image = scv_img.getNumpyCv2()
#ocv_gray = cv2.cvtColor(ocv_image, cv2.cv.CV_BGR2GRAY)
cv2.imshow(windowTitle, scv_img.getNumpyCv2())
while True:
# key = cv2.waitKey(0)
# 0xFF para 64 bits
key = cv2.waitKey(0) & 0xFF
# 27 = ESC 113 = q
if key == 27 or key == 113:
cv2.destroyWindow(windowTitle)
break
