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| # coding=utf-8 | |
| # Copyright 2021 The Deeplab2 Authors. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| """Utility functions for optical flow.""" | |
| from cvx2 import latest as cv | |
| import numpy as np | |
| def warp_flow(img: np.ndarray, flow_tensor: np.ndarray) -> np.ndarray: | |
| flow = flow_tensor.copy() | |
| h, w = flow.shape[:2] | |
| flow[..., 0] += np.arange(w) | |
| flow[..., 1] += np.arange(h)[:, np.newaxis] | |
| res = cv.remap(img, flow, None, cv.INTER_LINEAR) | |
| return res | |
| def remove_occlusions(warped_binary_img: np.ndarray, | |
| occlusion_map: np.ndarray) -> np.ndarray: | |
| return warped_binary_img.astype(np.bool) & (1 - occlusion_map).astype(np.bool) | |