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Update utils #42

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Nov 17, 2021
Merged

Update utils #42

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17 changes: 5 additions & 12 deletions flip/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -28,17 +28,11 @@ def rotate_bound(image, angle):
M[0, 2] += (nW / 2) - cX
M[1, 2] += (nH / 2) - cY

# distance matrix
# dst_mat = np.zeros((h, w, 4), np.uint8)

# perform the actual rotation and return the image
return cv2.warpAffine(
image,
M,
(nW, nH),
# dst_mat,
# flags=cv2.INTER_LINEAR,
# borderMode=cv2.BORDER_TRANSPARENT,
(nW, nH)
)


Expand All @@ -57,8 +51,8 @@ def overlay_transparent(

mask = cv2.GaussianBlur(mask, (7, 7), 0)

x = x #or 0
y = y #or 0
x = x
y = y
if x==None or y==None:
return background
if x >= background_width or y >= background_height:
Expand Down Expand Up @@ -98,6 +92,8 @@ def overlay_transparent(


def crop_from_contour(image):
if image.shape[2] != 4:
image = cv2.cvtColor(image, cv2.COLOR_RGB2BGRA)
_, _, _, a = cv2.split(image)
ret, thresh = cv2.threshold(a, 127, 255, 0)
contours, hierarchy = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
Expand All @@ -109,7 +105,4 @@ def crop_from_contour(image):
rect = cv2.boundingRect(contours[index])
cropped_img = image[rect[1]:(rect[1] + rect[3]), rect[0]:(rect[0] + rect[2])]

# plt.imshow(cropped_img)
# plt.show()

return cropped_img