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Format Code #18

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32 changes: 24 additions & 8 deletions Basics/ColorPicker.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,9 +3,10 @@

############################################
cap = cv2.VideoCapture(1)
path = 'test.png'
path = "test.png"
############################################


def empty(a):
pass

Expand All @@ -20,11 +21,19 @@ def stackImages(scale, imgArray):
for x in range(0, rows):
for y in range(0, cols):
if imgArray[x][y].shape[:2] == imgArray[0][0].shape[:2]:
imgArray[x][y] = cv2.resize(imgArray[x][y], (0, 0), None, scale, scale)
imgArray[x][y] = cv2.resize(
imgArray[x][y], (0, 0), None, scale, scale
)
else:
imgArray[x][y] = cv2.resize(imgArray[x][y], (imgArray[0][0].shape[1], imgArray[0][0].shape[0]),
None, scale, scale)
if len(imgArray[x][y].shape) == 2: imgArray[x][y] = cv2.cvtColor(imgArray[x][y], cv2.COLOR_GRAY2BGR)
imgArray[x][y] = cv2.resize(
imgArray[x][y],
(imgArray[0][0].shape[1], imgArray[0][0].shape[0]),
None,
scale,
scale,
)
if len(imgArray[x][y].shape) == 2:
imgArray[x][y] = cv2.cvtColor(imgArray[x][y], cv2.COLOR_GRAY2BGR)
imageBlank = np.zeros((height, width, 3), np.uint8)
hor = [imageBlank] * rows
hor_con = [imageBlank] * rows
Expand All @@ -36,8 +45,15 @@ def stackImages(scale, imgArray):
if imgArray[x].shape[:2] == imgArray[0].shape[:2]:
imgArray[x] = cv2.resize(imgArray[x], (0, 0), None, scale, scale)
else:
imgArray[x] = cv2.resize(imgArray[x], (imgArray[0].shape[1], imgArray[0].shape[0]), None, scale, scale)
if len(imgArray[x].shape) == 2: imgArray[x] = cv2.cvtColor(imgArray[x], cv2.COLOR_GRAY2BGR)
imgArray[x] = cv2.resize(
imgArray[x],
(imgArray[0].shape[1], imgArray[0].shape[0]),
None,
scale,
scale,
)
if len(imgArray[x].shape) == 2:
imgArray[x] = cv2.cvtColor(imgArray[x], cv2.COLOR_GRAY2BGR)
hor = np.hstack(imgArray)
ver = hor
return ver
Expand All @@ -62,7 +78,7 @@ def stackImages(scale, imgArray):
s_max = cv2.getTrackbarPos("Sat Max", "TrackBars")
v_min = cv2.getTrackbarPos("Val Min", "TrackBars")
v_max = cv2.getTrackbarPos("Val Max", "TrackBars")
print(f'{h_min},{h_max},{s_min},{s_max},{v_min},{v_max}')
print(f"{h_min},{h_max},{s_min},{s_max},{v_min},{v_max}")
lower = np.array([h_min, s_min, v_min])
upper = np.array([h_max, s_max, v_max])
mask = cv2.inRange(imgHSV, lower, upper)
Expand Down