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reformat file with uniform indentation

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w-e-w 2023-11-28 12:12:27 +09:00
parent 03ee297aa2
commit d608926f81
1 changed files with 103 additions and 101 deletions
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8
modules/textual_inversion/autocrop.py
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@ -27,7 +27,6 @@ def crop_image(im, settings):
elif is_portrait(settings.crop_width, settings.crop_height): elif is_portrait(settings.crop_width, settings.crop_height):
scale_by = settings.crop_height / im.height scale_by = settings.crop_height / im.height
im = im.resize((int(im.width * scale_by), int(im.height * scale_by))) im = im.resize((int(im.width * scale_by), int(im.height * scale_by)))
im_debug = im.copy() im_debug = im.copy()
@ -71,6 +70,7 @@ def crop_image(im, settings):
return results return results
def focal_point(im, settings): def focal_point(im, settings):
corner_points = image_corner_points(im, settings) if settings.corner_points_weight > 0 else [] corner_points = image_corner_points(im, settings) if settings.corner_points_weight > 0 else []
entropy_points = image_entropy_points(im, settings) if settings.entropy_points_weight > 0 else [] entropy_points = image_entropy_points(im, settings) if settings.entropy_points_weight > 0 else []
@ -185,13 +185,15 @@ def image_face_points(im, settings):
minsize = int(min(im.width, im.height) * t[1]) # at least N percent of the smallest side minsize = int(min(im.width, im.height) * t[1]) # at least N percent of the smallest side
try: try:
faces = classifier.detectMultiScale(gray, scaleFactor=1.1, faces = classifier.detectMultiScale(gray, scaleFactor=1.1,
minNeighbors=7, minSize=(minsize, minsize), flags=cv2.CASCADE_SCALE_IMAGE) minNeighbors=7, minSize=(minsize, minsize),
flags=cv2.CASCADE_SCALE_IMAGE)
except Exception: except Exception:
continue continue
if faces: if faces:
rects = [[f[0], f[1], f[0] + f[2], f[1] + f[3]] for f in faces] rects = [[f[0], f[1], f[0] + f[2], f[1] + f[3]] for f in faces]
return [PointOfInterest((r[0] +r[2]) // 2, (r[1] + r[3]) // 2, size=abs(r[0]-r[2]), weight=1/len(rects)) for r in rects] return [PointOfInterest((r[0] + r[2]) // 2, (r[1] + r[3]) // 2, size=abs(r[0] - r[2]),
weight=1 / len(rects)) for r in rects]
return [] return []