@ Kushaj   Thanks for your reply. frame is an input image, and templateimgw is obtained by warping the template with a homography.
I have wrote the programm to compute the IOU between two images, but there are some errors in these codes below.
ZOOM_OUT_SCALE = 4
batch_size = frame.shape[0]
fake_template = torch.ones([batch_size, 1, 74 * ZOOM_OUT_SCALE, 115 * ZOOM_OUT_SCALE], device=frame.device)
scaling_mat = torch.eye(3, device=frame.device).repeat(batch_size, 1, 1)
scaling_mat[:, 0, 0] = scaling_mat[:, 1, 1] = ZOOM_OUT_SCALE
target_mask = warp.warp_image(fake_template, scaling_mat, out_shape=fake_template.shape[-2:])
mapping_mat = torch.matmul(frame, scaling_mat)
mapping_mat = torch.matmul(templateimgw.inverse(), mapping_mat)output_mask = warp.warp_image(fake_template, mapping_mat, out_shape=fake_template.shape[-2:])
output_mask = (output_mask >= 0.5).float()
target_mask = (target_mask >= 0.5).float()