0d71a7f9e0fdabca092d632e3a14b8a1faecdd08,face_alignment/api.py,FaceAlignment,get_landmarks_from_image,#FaceAlignment#,133

Before Change

                     d[3] - d[1]) / self.face_detector.reference_scale

            inp = crop(image, center, scale)
            inp = torch.from_numpy(inp.transpose(
                (2, 0, 1))).float().div(255.0).unsqueeze_(0)

            inp = inp.to(self.device)

After Change

                    if pts[i, 0] > 0:
                        heatmaps[i] = draw_gaussian(
                            heatmaps[i], pts[i], 2)
                heatmaps = torch.from_numpy(
                    heatmaps).unsqueeze_(0)

                heatmaps = heatmaps.to(self.device)
                depth_pred = self.depth_prediciton_net(

Instances