Spaces:
Runtime error
Runtime error
| # coding=utf-8 | |
| # Copyright 2022 The IDEA Authors. All rights reserved. | |
| # | |
| # 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 wandb | |
| from PIL import Image | |
| from detectron2.utils.events import EventWriter, get_event_storage | |
| class WandbWriter(EventWriter): | |
| """ | |
| Write all scalars to a wandb file. | |
| """ | |
| def __init__(self, cfg, window_size: int = 20, **kwargs): | |
| """ | |
| Args: | |
| log_dir (str): the directory to save the output events | |
| window_size (int): the scalars will be median-smoothed by this window size | |
| kwargs: other arguments passed to `torch.utils.tensorboard.SummaryWriter(...)` | |
| """ | |
| self._window_size = window_size | |
| self._writer = wandb.init( | |
| config=cfg, | |
| **cfg.train.wandb.params, | |
| ) | |
| self._last_write = -1 | |
| def write(self): | |
| storage = get_event_storage() | |
| new_last_write = self._last_write | |
| for k, (v, iter) in storage.latest_with_smoothing_hint(self._window_size).items(): | |
| if iter > self._last_write: | |
| self._writer.log({k: v}, step=iter) | |
| new_last_write = max(new_last_write, iter) | |
| self._last_write = new_last_write | |
| # visualize training samples | |
| if len(storage._vis_data) >= 1: | |
| for img_name, img, step_num in storage._vis_data: | |
| log_img = Image.fromarray(img.transpose(1, 2, 0)) # convert to (h, w, 3) PIL.Image | |
| log_img = wandb.Image(log_img, caption=img_name) | |
| self._writer.log({img_name: [log_img]}) | |
| # Storage stores all image data and rely on this writer to clear them. | |
| # As a result it assumes only one writer will use its image data. | |
| # An alternative design is to let storage store limited recent | |
| # data (e.g. only the most recent image) that all writers can access. | |
| # In that case a writer may not see all image data if its period is long. | |
| storage.clear_images() | |
| def close(self): | |
| if hasattr(self, "_writer"): | |
| self._writer.finish() | |