diff options
| -rw-r--r-- | utils/raspberrypi/ctt/ctt_macbeth_locator.py | 26 | ||||
| -rw-r--r-- | utils/raspberrypi/ctt/ctt_tools.py | 8 |
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 |