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-rw-r--r--utils/raspberrypi/ctt/ctt_macbeth_locator.py26
-rw-r--r--utils/raspberrypi/ctt/ctt_tools.py8
2 files changed, 17 insertions, 17 deletions
diff --git a/utils/raspberrypi/ctt/ctt_macbeth_locator.py b/utils/raspberrypi/ctt/ctt_macbeth_locator.py
index 05d1bd43..4e666b0f 100644
--- a/utils/raspberrypi/ctt/ctt_macbeth_locator.py
+++ b/utils/raspberrypi/ctt/ctt_macbeth_locator.py
@@ -450,14 +450,14 @@ def get_macbeth_chart(img, ref_data):
"""
in_border = True
# for p in mac_guess[0]:
- # pptest = cv2.pointPolygonTest(
- # img_con,
- # tuple(p),
- # False
- # )
- # if pptest == -1:
- # in_border = False
- # break
+ # pptest = cv2.pointPolygonTest(
+ # img_con,
+ # tuple(p),
+ # False
+ # )
+ # if pptest == -1:
+ # in_border = False
+ # break
if in_border:
mac_mid = np.mean(mac_guess,
@@ -499,9 +499,9 @@ def get_macbeth_chart(img, ref_data):
else:
clustering.fit(mac_mids_list)
# try:
- # clustering.fit(mac_mids_list)
+ # clustering.fit(mac_mids_list)
# except RuntimeWarning as error:
- # return(0, None, None, error)
+ # return(0, None, None, error)
"""
create list of all clusters
@@ -549,9 +549,9 @@ def get_macbeth_chart(img, ref_data):
# copy = cv2.cvtColor(copy, cv2.COLOR_GRAY2RGB)
# copy = cv2.resize(copy, None, fx=2, fy=2)
# for clus in clus_list:
- # centroid = tuple(2*np.round(clus[2]).astype(np.int32))
- # cv2.circle(copy, centroid, 7, (255, 0, 0), -1)
- # cv2.circle(copy, centroid, 2, (0, 0, 255), -1)
+ # centroid = tuple(2*np.round(clus[2]).astype(np.int32))
+ # cv2.circle(copy, centroid, 7, (255, 0, 0), -1)
+ # cv2.circle(copy, centroid, 2, (0, 0, 255), -1)
# represent(copy)
"""
diff --git a/utils/raspberrypi/ctt/ctt_tools.py b/utils/raspberrypi/ctt/ctt_tools.py
index 27080de0..f4b9baac 100644
--- a/utils/raspberrypi/ctt/ctt_tools.py
+++ b/utils/raspberrypi/ctt/ctt_tools.py
@@ -99,11 +99,11 @@ display image for debugging... read at your own risk...
"""
def represent(img, name='image'):
# if type(img) == tuple or type(img) == list:
- # for i in range(len(img)):
- # name = 'image {}'.format(i)
- # cv2.imshow(name, img[i])
+ # for i in range(len(img)):
+ # name = 'image {}'.format(i)
+ # cv2.imshow(name, img[i])
# else:
- # cv2.imshow(name, img)
+ # cv2.imshow(name, img)
# cv2.waitKey(0)
# cv2.destroyAllWindows()
# return 0