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Amend double increase of expand_percentage

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Andrea Lanfranchi 2024-02-27 10:29:15 +01:00
parent 53510f0584
commit fb6d2f572e
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1 changed files with 23 additions and 6 deletions
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29
deepface/detectors/DetectorWrapper.py
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@ -103,14 +103,31 @@ def detect_faces(
right_eye = facial_area.right_eye
confidence = facial_area.confidence
# expand the facial area to be extracted and stay within img.shape limits
x2 = max(0, x - int((w * expand_percentage) / 100)) # expand left
y2 = max(0, y - int((h * expand_percentage) / 100)) # expand top
w2 = min(img.shape[1], w + int((w * 2 * expand_percentage) / 100)) # expand right
h2 = min(img.shape[0], h + int((h * 2 * expand_percentage) / 100)) # expand bottom
if expand_percentage > 0:
# Uncomment this if you want to :
# Expand the facial area to be extracted and recompute the height and width
# keeping the same aspect ratio and ensuring that the expanded area stays
# within img.shape limits
# current_area = w * h
# expanded_area = current_area + int((current_area * expand_percentage) / 100)
# scale_factor = math.sqrt(expanded_area / current_area)
# expanded_w = int(w * scale_factor)
# expanded_h = int(h * scale_factor)
# Or uncomment this if you want to :
# Expand the facial region height and width by the provided percentage
# ensuring that the expanded region stays within img.shape limits
expanded_w = int(w * expand_percentage / 100)
expanded_h = int(h * expand_percentage / 100)
x = max(0, x - int((expanded_w - w) / 2))
y = max(0, y - int((expanded_h - h) / 2))
w = min(img.shape[1] - x, expanded_w)
h = min(img.shape[0] - y, expanded_h)
# extract detected face unaligned
detected_face = img[int(y2) : int(y2 + h2), int(x2) : int(x2 + w2)]
detected_face = img[int(y) : int(y + h), int(x) : int(x + w)]
# aligning detected face causes a lot of black pixels
# if align is True: