Add doctr-torch-crnn_vgg16_bn-danish-v1 model

README.md

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+
+---
+language: en
+---
+
+<p align="center">
+<img src="https://doctr-static.mindee.com/models?id=v0.3.1/Logo_doctr.gif&src=0" width="60%">
+</p>
+
+**Optical Character Recognition made seamless & accessible to anyone, powered by TensorFlow 2 & PyTorch**
+
+## Task: recognition
+
+https://github.com/mindee/doctr
+
+### Example usage:
+
+```python
+>>> from doctr.io import DocumentFile
+>>> from doctr.models import ocr_predictor, from_hub
+
+>>> img = DocumentFile.from_images(['<image_path>'])
+>>> # Load your model from the hub
+>>> model = from_hub('mindee/my-model')
+
+>>> # Pass it to the predictor
+>>> # If your model is a recognition model:
+>>> predictor = ocr_predictor(det_arch='db_mobilenet_v3_large',
+>>>                           reco_arch=model,
+>>>                           pretrained=True)
+
+>>> # If your model is a detection model:
+>>> predictor = ocr_predictor(det_arch=model,
+>>>                           reco_arch='crnn_mobilenet_v3_small',
+>>>                           pretrained=True)
+
+>>> # Get your predictions
+>>> res = predictor(img)
+```
+### Run Configuration
+
+{
+  "arch": "crnn_vgg16_bn",
+  "train_path": "train-data",
+  "val_path": "validation-data",
+  "train_samples": 1000,
+  "val_samples": 20,
+  "font": "FreeMono.ttf,FreeSans.ttf,FreeSerif.ttf",
+  "min_chars": 1,
+  "max_chars": 32,
+  "name": "doctr-torch-crnn_vgg16_bn-danish-v1",
+  "epochs": 1,
+  "batch_size": 64,
+  "device": 0,
+  "input_size": 32,
+  "lr": 0.001,
+  "weight_decay": 0,
+  "workers": 16,
+  "resume": "crnn_vgg16_bn_20240317-095746.pt",
+  "vocab": "danish",
+  "test_only": false,
+  "freeze_backbone": false,
+  "show_samples": false,
+  "wb": false,
+  "push_to_hub": true,
+  "pretrained": true,
+  "sched": "cosine",
+  "amp": false,
+  "find_lr": false,
+  "early_stop": false,
+  "early_stop_epochs": 5,
+  "early_stop_delta": 0.01
+}

config.json

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+{
+  "mean": [
+    0.694,
+    0.695,
+    0.693
+  ],
+  "std": [
+    0.299,
+    0.296,
+    0.301
+  ],
+  "input_shape": [
+    3,
+    32,
+    128
+  ],
+  "vocab": "0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~°£€¥¢฿æøåÆØÅ",
+  "url": "https://doctr-static.mindee.com/models?id=v0.3.1/crnn_vgg16_bn-9762b0b0.pt&src=0",
+  "arch": "crnn_vgg16_bn",
+  "task": "recognition"
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a297afbe3a21e5f4b29fc8ef6b7027a068596efc532446bc0c147fd108308460
+size 63280840