fix
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@@ -364,16 +364,16 @@ class ExtractSubprocessor(SubprocessorBase):
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view_rect = (np.array(self.rect) * self.view_scale).astype(np.int).tolist()
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view_landmarks = (np.array(self.landmarks) * self.view_scale).astype(np.int).tolist()
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if self.param_rect_size <= 40:
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if self.param_rect_size <= 25:
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scaled_rect_size = h // 3 if w > h else w // 3
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p1 = (self.param_x - self.param_rect_size // 2, self.param_y - self.param_rect_size // 2)
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p2 = (self.param_x + self.param_rect_size // 2, self.param_y - self.param_rect_size // 2)
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p3 = (self.param_x - self.param_rect_size // 2, self.param_y + self.param_rect_size // 2)
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p1 = (self.param_x - self.param_rect_size, self.param_y - self.param_rect_size)
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p2 = (self.param_x + self.param_rect_size, self.param_y - self.param_rect_size)
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p3 = (self.param_x - self.param_rect_size, self.param_y + self.param_rect_size)
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np1 = (self.param_x - scaled_rect_size // 2, self.param_y - scaled_rect_size // 2)
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np2 = (self.param_x + scaled_rect_size // 2, self.param_y - scaled_rect_size // 2)
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np3 = (self.param_x - scaled_rect_size // 2, self.param_y + scaled_rect_size // 2)
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np1 = (self.param_x - scaled_rect_size, self.param_y - scaled_rect_size)
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np2 = (self.param_x + scaled_rect_size, self.param_y - scaled_rect_size)
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np3 = (self.param_x - scaled_rect_size, self.param_y + scaled_rect_size)
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mat = cv2.getAffineTransform( np.float32([p1,p2,p3])*self.view_scale, np.float32([np1,np2,np3])*self.view_scale )
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image = cv2.warpAffine(image, mat,(w,h) )
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