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Zero
| # Copyright (c) 2025 ByteDance Ltd. and/or its affiliates | |
| # | |
| # 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. | |
| import os | |
| import cv2 | |
| import imageio | |
| import numpy as np | |
| from tqdm.auto import tqdm | |
| from depth_anything_3.utils.parallel_utils import async_call | |
| from depth_anything_3.utils.pca_utils import PCARGBVisualizer | |
| def export_to_feat_vis( | |
| prediction, | |
| export_dir, | |
| fps=15, | |
| ): | |
| """Export feature visualization with PCA. | |
| Args: | |
| prediction: Model prediction containing feature maps | |
| export_dir: Directory to export results | |
| fps: Frame rate for output video (default: 15) | |
| """ | |
| out_dir = os.path.join(export_dir, "feat_vis") | |
| os.makedirs(out_dir, exist_ok=True) | |
| images = prediction.processed_images | |
| for k, v in prediction.aux.items(): | |
| if not k.startswith("feat_layer_"): | |
| continue | |
| os.makedirs(os.path.join(out_dir, k), exist_ok=True) | |
| viz = PCARGBVisualizer(basis_mode="fixed", percentile_mode="global", clip_percent=10.0) | |
| viz.fit_reference(v) | |
| feats_vis = viz.transform_video(v) | |
| for idx in tqdm(range(len(feats_vis))): | |
| img = images[idx] | |
| feat_vis = (feats_vis[idx] * 255).astype(np.uint8) | |
| feat_vis = cv2.resize( | |
| feat_vis, (img.shape[1], img.shape[0]), interpolation=cv2.INTER_NEAREST | |
| ) | |
| save_path = os.path.join(out_dir, f"{k}/{idx:06d}.jpg") | |
| save = np.concatenate([img, feat_vis], axis=1) | |
| imageio.imwrite(save_path, save, quality=95) | |
| cmd = ( | |
| "ffmpeg -loglevel error -hide_banner -y " | |
| f"-framerate {fps} -start_number 0 " | |
| f"-i {out_dir}/{k}/%06d.jpg " | |
| f"-c:v libx264 -pix_fmt yuv420p " | |
| f"{out_dir}/{k}.mp4" | |
| ) | |
| os.system(cmd) | |