def augmentate(self):
angles = [45, 90, 135, 180, 225, 270, 315]
scale = 1.0
for img in self.images:
print "image shape : ", img.shape
w = img.shape[1]
h = img.shape[0]
img_vmirror = cv2.flip(img,1)
skimage.io.imsave("testv"+".jpg", img_vmirror )
for angle in angles:
#rangle = np.deg2rad(angle)
# nw = (abs(np.sin(rangle)*h) + abs(np.cos(rangle)*w))*scale
# nh = (abs(np.cos(rangle)*h) + abs(np.sin(rangle)*w))*scale
rot_mat = cv2.getRotationMatrix2D((w*0.5, h*0.5), angle, scale)
# rot_move = np.dot(rot_mat, np.array([(nw-w)*0.5, (nh-h)*0.5,0]))
# rot_mat[0,2] += rot_move[0]
# rot_mat[1,2] += rot_move[1]
new_img = cv2.warpAffine(img, rot_mat, (int(math.ceil(w)), int(math.ceil(h))), flags=cv2.INTER_LANCZOS4)
skimage.io.imsave("test"+str(angle)+".jpg", new_img)
new_img_vmirror = cv2.flip(new_img, 1)
skimage.io.imsave("testv"+str(angle)+".jpg", new_img_vmirror)
# img_rmirror = cv2.flip(new_img, 0)
# skimage.io.imsave("testh"+str(angle)+".jpg", img_rmirror)
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