Apply 435fbdd5

dan/manager/ocr.py

@@ -77,9 +77,8 @@ class OCRDataset(GenericDataset):
         super(OCRDataset, self).__init__(params, set_name, custom_name, paths_and_sets)
         self.charset = None
         self.tokens = None
-        self.reduce_dims_factor = np.array(
-            [params["config"]["height_divisor"], params["config"]["width_divisor"], 1]
-        )
+        # Factor to reduce the height and width of the feature vector before feeding the decoder.
+        self.reduce_dims_factor = np.array([32, 8, 1])
         self.collate_function = OCRCollateFunction
 
     def __getitem__(self, idx):

dan/ocr/document/train.py

@@ -105,8 +105,6 @@ def get_config():
             "config": {
                 "load_in_memory": True,  # Load all images in CPU memory
                 "worker_per_gpu": 4,  # Num of parallel processes per gpu for data loading
-                "width_divisor": 8,  # Image width will be divided by 8
-                "height_divisor": 32,  # Image height will be divided by 32
                 "padding_value": 0,  # Image padding value
                 "padding_token": None,  # Label padding value
                 "preprocessings": [

docs/usage/train/parameters.md

@@ -14,8 +14,6 @@ All hyperparameters are specified and editable in the training scripts (meaning
 | `dataset_params.config.datasets`        | Dataset dictionary with the dataset name as key and dataset path as value.             | `dict`       |                                                |
 | `dataset_params.config.load_in_memory`  | Load all images in CPU memory.                                                         | `str`        | `True`                                         |
 | `dataset_params.config.worker_per_gpu`  | Number of parallel processes per gpu for data loading.                                 | `int`        | `4`                                            |
-| `dataset_params.config.height_divisor`  | Factor to reduce the width of the feature vector before feeding the decoder.           | `int`        | `8`                                            |
-| `dataset_params.config.width_divisor`   | Factor to reduce the height of the feature vector before feeding the decoder.          | `int`        | `32`                                           |
 | `dataset_params.config.padding_value`   | Image padding value.                                                                   | `int`        | `0`                                            |
 | `dataset_params.config.padding_token`   | Transcription padding value.                                                           | `int`        | `None`                                         |
 | `dataset_params.config.preprocessings`  | List of pre-processing functions to apply to input images.                             | `list`       | (see [dedicated section](#data-preprocessing)) |

tests/conftest.py

@@ -68,8 +68,6 @@ def training_config():
             },
             "config": {
                 "load_in_memory": True,  # Load all images in CPU memory
-                "width_divisor": 8,  # Image width will be divided by 8
-                "height_divisor": 32,  # Image height will be divided by 32
                 "padding_value": 0,  # Image padding value
                 "padding_token": None,  # Label padding value
                 "preprocessings": [