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Face parser: unify bounding box coordinates order #6

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Face parser: unify bounding box coordinates order #6

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22 changes: 11 additions & 11 deletions models/parser/face_parser.py
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Original file line number Diff line number Diff line change
Expand Up @@ -38,19 +38,19 @@ def parse_face(self, im, bounding_box=None, with_detection=False):
bboxes = self.detector.fd.detect_face(im)
faces = []
for bbox in bboxes:
y0, x0, y1, x1, _ = bbox
x0, y0 = np.maximum(x0, 0), np.maximum(y0, 0)
x1, y1 = np.minimum(x1, orig_h), np.minimum(y1, orig_w)
x0, y0, x1, y1 = map(np.int32, [x0, y0, x1, y1])
faces.append(im[x0:x1, y0:y1, :])
left, top, right, bottom, _ = bbox
top, left = np.maximum(top, 0), np.maximum(left, 0)
bottom, right = np.minimum(bottom, orig_h), np.minimum(right, orig_w)
top, left, bottom, right = map(np.int32, [top, left, bottom, right])
faces.append(im[top:bottom, left:right, :])
else:
faces = [im]
else:
x0, y0, x1, y1 = bounding_box
x0, y0 = np.maximum(x0, 0), np.maximum(y0, 0)
x1, y1 = np.minimum(x1, orig_h), np.minimum(y1, orig_w)
x0, y0, x1, y1 = map(np.int32, [x0, y0, x1, y1])
faces = [im[x0:x1, y0:y1, :]]
left, top, right, bottom = bounding_box
top, left = np.maximum(top, 0), np.maximum(left, 0)
bottom, right = np.minimum(bottom, orig_h), np.minimum(right, orig_w)
top, left, bottom, right = map(np.int32, [top, left, bottom, right])
faces = [im[top:bottom, left:right, :]]

maps = []
for face in faces:
Expand All @@ -74,4 +74,4 @@ def parse_face(self, im, bounding_box=None, with_detection=False):
@staticmethod
def normalize_input(x, mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225)):
# x should be RGB with range [0, 255]
return ((x / 255) - mean) / std
return ((x / 255) - mean) / std