Fix version 0.2.0-dev3 and later

In this MR, version 0.2.0-dev3 (and later) is fixed:

• We use DPIAdjusting transform as it is a key component when training on images of very different sizes
• We compute the real mean and std values on the train set (we do not use default values from ImageNet = revert a5f7b5ab)
• The padding is on the right and bottom of the image (= revert part of f57bc667 for now)
• Two parameters files are created during training: one for training details (used to reproduce/continue the experiment), one for inference (that can be directly used by Arkindex DAN worker)

tests/test_training.py

@@ -16,7 +16,7 @@ from tests.conftest import FIXTURES
             "last_3.pt",
             {
                 "nb_chars": 43,
-                "cer": 1.2558,
+                "cer": 1.3023,
                 "nb_words": 9,
                 "wer": 1.0,
                 "nb_words_no_punct": 9,
@@ -25,7 +25,7 @@ from tests.conftest import FIXTURES
             },
             {
                 "nb_chars": 41,
-                "cer": 1.2927,
+                "cer": 1.2683,
                 "nb_words": 9,
                 "wer": 1.0,
                 "nb_words_no_punct": 9,
@@ -34,7 +34,7 @@ from tests.conftest import FIXTURES
             },
             {
                 "nb_chars": 49,
-                "cer": 1.102,
+                "cer": 1.1224,
                 "nb_words": 9,
                 "wer": 1.0,
                 "nb_words_no_punct": 9,
@@ -66,6 +66,12 @@ from tests.conftest import FIXTURES
                             "type": "max_resize",
                         }
                     ],
+                    "mean": [
+                        242.10595854671013,
+                        242.10595854671013,
+                        242.10595854671013,
+                    ],
+                    "std": [28.29919517652322, 28.29919517652322, 28.29919517652322],
                 },
             },
         ),
@@ -175,12 +181,12 @@ def test_train_and_test(
             }
             assert res == expected_res
 
-    # Check that the parameters file is correct
+    # Check that the inference parameters file is correct
     with (
         tmp_path
         / training_config["training_params"]["output_folder"]
         / "results"
-        / "parameters.yml"
+        / "inference_parameters.yml"
     ).open() as f:
         res = yaml.safe_load(f)
         assert res == params_res