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update preprocess #51

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update preprocess #51

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37 changes: 18 additions & 19 deletions face_sdk/core/model_handler/face_alignment/FaceAlignModelHandler.py
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Original file line number Diff line number Diff line change
Expand Up @@ -50,7 +50,6 @@ def inference_on_image(self, image, dets):
landmarks = self._postprocess(landmarks_normal)
return landmarks

#Adapted from https://github.com/Hsintao/pfld_106_face_landmarks/blob/master/data/prepare.py
def _preprocess(self, image, det):
"""Preprocess the input image, cutting the input image through the face detection information.
Using the face detection result(dets) to get the face position in the input image.
Expand All @@ -67,33 +66,33 @@ def _preprocess(self, image, det):
self.image_org = image.copy()
img = np.float32(img)

xy = np.array([det[0], det[1]])
zz = np.array([det[2], det[3]])
wh = zz - xy + 1
center = (xy + wh / 2).astype(np.int32)
boxsize = int(np.max(wh) * 1.2)
xy = center - boxsize // 2
xy_temp = np.array([det[0], det[1]])
zz_temp = np.array([det[2], det[3]])
wh = zz_temp - xy_temp + 1
center_point = (xy_temp + wh / 2).astype(np.int32)
boxsize_large = int(np.max(wh) * 1.2)
xy = center_point - boxsize_large // 2
self.xy = xy
self.boxsize = boxsize
self.boxsize = boxsize_large
x1, y1 = xy
x2, y2 = xy + boxsize
height, width, _ = img.shape
x2, y2 = xy + boxsize_large
h, w, _ = img.shape
dx = max(0, -x1)
dy = max(0, -y1)
x1 = max(0, x1)
y1 = max(0, y1)
edx = max(0, x2 - width)
edy = max(0, y2 - height)
x2 = min(width, x2)
y2 = min(height, y2)
imageT = image[y1:y2, x1:x2]
edx = max(0, x2 - w)
edy = max(0, y2 - h)
x2 = min(w, x2)
y2 = min(h, y2)
image_target = image[y1:y2, x1:x2]
if dx > 0 or dy > 0 or edx > 0 or edy > 0:
imageT = cv2.copyMakeBorder(
imageT, dy, edy, dx, edx, cv2.BORDER_CONSTANT, 0)
image_target = cv2.copyMakeBorder(
image_target, dy, edy, dx, edx, cv2.BORDER_CONSTANT, 0)

imageT = cv2.resize(imageT, (self.img_size, self.img_size))
image_target = cv2.resize(image_target, (self.img_size, self.img_size))
t = transforms.Compose([transforms.ToTensor()])
img_after = t(imageT)
img_after = t(image_target)
return img_after

def _postprocess(self, landmarks_normal):
Expand Down