BYOD - RLE format¶
Category: data_generator.vision.segmentation.2d
Version: 1.1.0
UUID: ed4ff114359a1f039684dbe28a5c12b06e1469b923bf8d874ef6090df2d4f517
Execution context: leip_af
Choice Priority: 9.6
Subcomponent Parameters¶
| Name | Synonyms | Allowable Categories |
|---|---|---|
| Training Augmentation | data.augmentation.training |
augmentation.vision.2d.training |
| Validation Augmentation | data.augmentation.validation |
augmentation.vision.2d.validation |
Value Parameters¶
| Name | Synonyms | Type | Values |
|---|---|---|---|
| Data is split | data_generator.data_is_presplit |
scalar | bool |
| File that describes labels | data_generator.label_description_file |
scalar | path |
| Root Path | data_generator.root_path |
scalar | path |
| Path to train images | data_generator.train_images_dir |
scalar | path |
| Csv file to read labels | data_generator.labels_csv |
scalar | path |
| The ratio of train/val split | data_generator.train_val_split_ratio |
scalar | float, min: 0.0, max: 1.0 |
| The seed for train/val split | data_generator.split_seed |
scalar | int |
| Number of classes | data.number_of_classes |
scalar | int |
Constraints¶
- Number of classes has to be positive (meta.nclasses > 0)
- Need a root path for dataset (len(str(actual.root_path)) > 0)
- Need a labels file for dataset (len(str(actual.train_label_csv)) > 0)
- Need a path to images folder (len(str(actual.train_image_dir)) > 0)