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validate projected coordinates are in the boundaries

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Sefik Ilkin Serengil 2024-04-16 20:02:08 +01:00
parent 5603d5f44a
commit f6a226eb4c
1 changed files with 14 additions and 6 deletions
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20
deepface/detectors/DetectorWrapper.py
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@ -175,22 +175,30 @@ def rotate_facial_area(
# Angle in radians
angle = angle * np.pi / 180
height, weight = size
# Translate the facial area to the center of the image
x = (facial_area[0] + facial_area[2]) / 2 - size[1] / 2
y = (facial_area[1] + facial_area[3]) / 2 - size[0] / 2
x = (facial_area[0] + facial_area[2]) / 2 - weight / 2
y = (facial_area[1] + facial_area[3]) / 2 - height / 2
# Rotate the facial area
x_new = x * np.cos(angle) + y * direction * np.sin(angle)
y_new = -x * direction * np.sin(angle) + y * np.cos(angle)
# Translate the facial area back to the original position
x_new = x_new + size[1] / 2
y_new = y_new + size[0] / 2
x_new = x_new + weight / 2
y_new = y_new + height / 2
# Calculate the new facial area
# Calculate projected coordinates after alignment
x1 = x_new - (facial_area[2] - facial_area[0]) / 2
y1 = y_new - (facial_area[3] - facial_area[1]) / 2
x2 = x_new + (facial_area[2] - facial_area[0]) / 2
y2 = y_new + (facial_area[3] - facial_area[1]) / 2
return (int(x1), int(y1), int(x2), int(y2))
# validate projected coordinates are in image's boundaries
x1 = max(int(x1), 0)
y1 = max(int(y1), 0)
x2 = min(int(x2), weight)
y2 = min(int(y2), height)
return (x1, y1, x2, y2)