Image dumping class You pass images/tensors from training pipeline into this object and it first converts them to images (doing transformations where necessary) and then writes the images out to disk.
| 202 | |
| 203 | |
| 204 | class ImageDumper(): |
| 205 | """ |
| 206 | Image dumping class |
| 207 | |
| 208 | You pass images/tensors from training pipeline into this object and it first |
| 209 | converts them to images (doing transformations where necessary) and then |
| 210 | writes the images out to disk. |
| 211 | """ |
| 212 | def __init__(self, val_len, tensorboard=True, write_webpage=True, |
| 213 | webpage_fn='index.html', dump_all_images=False, dump_assets=False, |
| 214 | dump_err_prob=False, dump_num=10, dump_for_auto_labelling=False, |
| 215 | dump_for_submission=False): |
| 216 | """ |
| 217 | :val_len: num validation images |
| 218 | :tensorboard: push summary to tensorboard |
| 219 | :webpage: generate a summary html page |
| 220 | :webpage_fn: name of webpage file |
| 221 | :dump_all_images: dump all (validation) images, e.g. for video |
| 222 | :dump_num: number of images to dump if not dumping all |
| 223 | :dump_assets: dump attention maps |
| 224 | """ |
| 225 | self.val_len = val_len |
| 226 | self.tensorboard = tensorboard |
| 227 | self.write_webpage = write_webpage |
| 228 | self.webpage_fn = os.path.join(cfg.RESULT_DIR, |
| 229 | 'best_images', webpage_fn) |
| 230 | self.dump_assets = dump_assets |
| 231 | self.dump_for_auto_labelling = dump_for_auto_labelling |
| 232 | self.dump_for_submission = dump_for_submission |
| 233 | |
| 234 | self.viz_frequency = max(1, val_len // dump_num) |
| 235 | if dump_all_images: |
| 236 | self.dump_frequency = 1 |
| 237 | else: |
| 238 | self.dump_frequency = self.viz_frequency |
| 239 | |
| 240 | inv_mean = [-mean / std for mean, std in zip(cfg.DATASET.MEAN, |
| 241 | cfg.DATASET.STD)] |
| 242 | inv_std = [1 / std for std in cfg.DATASET.STD] |
| 243 | self.inv_normalize = standard_transforms.Normalize( |
| 244 | mean=inv_mean, std=inv_std |
| 245 | ) |
| 246 | |
| 247 | if self.dump_for_submission: |
| 248 | self.save_dir = os.path.join(cfg.RESULT_DIR, 'submit') |
| 249 | elif self.dump_for_auto_labelling: |
| 250 | self.save_dir = os.path.join(cfg.RESULT_DIR) |
| 251 | else: |
| 252 | self.save_dir = os.path.join(cfg.RESULT_DIR, 'best_images') |
| 253 | |
| 254 | os.makedirs(self.save_dir, exist_ok=True) |
| 255 | |
| 256 | self.imgs_to_tensorboard = [] |
| 257 | self.imgs_to_webpage = [] |
| 258 | |
| 259 | if cfg.DATASET.NAME == 'cityscapes': |
| 260 | # If all images of a dataset are identical, as in cityscapes, |
| 261 | # there's no need to crop the images before tiling them into a |