NekoCWD/libcamera
NekoCWD/libcamera
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages 7 Wiki Activity Actions

utils: raspberrypi: ctt: Fix pycodestyle E128

Browse source 
E128 continuation line under-indented for visual indent

Signed-off-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
Reviewed-by: Kieran Bingham <kieran.bingham@ideasonboard.com>
Reviewed-by: David Plowman <david.plowman@raspberrypi.com>
This commit is contained in:
Laurent Pinchart 2020-05-02 03:32:00 +03:00
parent 965cae72a7
commit 23f9f46c8a
2 changed files with 10 additions and 12 deletions
Download patch file Download diff file Expand all files Collapse all files

8
utils/raspberrypi/ctt/ctt_macbeth_locator.py
View file

@ -363,9 +363,8 @@ def get_macbeth_chart(img, ref_data):
"""
find Contours in image
"""
conts, _ = cv2.findContours(edges,
cv2.RETR_TREE,
cv2.CHAIN_APPROX_NONE)
conts, _ = cv2.findContours(edges, cv2.RETR_TREE,
cv2.CHAIN_APPROX_NONE)
if len(conts) == 0:
raise MacbethError(
'\nWARNING: No macbeth chart found!'
@ -381,8 +380,7 @@ def get_macbeth_chart(img, ref_data):
conts_per = []
for i in range(len(conts)):
per = cv2.arcLength(conts[i], True)
poly = cv2.approxPolyDP(conts[i],
epsilon*per, True)
poly = cv2.approxPolyDP(conts[i], epsilon*per, True)
if len(poly) == 4 and cv2.isContourConvex(poly):
conts_per.append((poly, per))

14
utils/raspberrypi/ctt/ctt_ransac.py
View file

@ -29,11 +29,11 @@ def get_square_verts(c_err=0.05, scale=scale):
square_verts = []
square_0 = np.array(((0, 0), (0, side),
(side, side), (side, 0)), np.float32)
(side, side), (side, 0)), np.float32)
offset_0 = np.array((b_bord_x, b_bord_y), np.float32)
c_off = side * c_err
offset_cont = np.array(((c_off, c_off), (c_off, -c_off),
(-c_off, -c_off), (-c_off, c_off)), np.float32)
(-c_off, -c_off), (-c_off, c_off)), np.float32)
square_0 += offset_0
square_0 += offset_cont
"""
@ -41,16 +41,16 @@ def get_square_verts(c_err=0.05, scale=scale):
"""
for i in range(6):
shift_i = np.array(((i*side, 0), (i*side, 0),
(i*side, 0), (i*side, 0)), np.float32)
(i*side, 0), (i*side, 0)), np.float32)
shift_bord =np.array(((i*s_bord, 0), (i*s_bord, 0),
(i*s_bord, 0), (i*s_bord, 0)), np.float32)
(i*s_bord, 0), (i*s_bord, 0)), np.float32)
square_i = square_0 + shift_i + shift_bord
for j in range(4):
shift_j = np.array(((0, j*side), (0, j*side),
(0, j*side), (0, j*side)), np.float32)
(0, j*side), (0, j*side)), np.float32)
shift_bord = np.array(((0, j*s_bord),
(0, j*s_bord), (0, j*s_bord),
(0, j*s_bord)), np.float32)
(0, j*s_bord), (0, j*s_bord),
(0, j*s_bord)), np.float32)
square_j = square_i + shift_j + shift_bord
square_verts.append(square_j)
# print('square_verts')