Add doctr-dummy-torch-resnet34-wide model

README.md

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+
+---
+language: en
+---
+
+<p align="center">
+<img src="https://github.com/mindee/doctr/releases/download/v0.3.1/Logo_doctr.gif" width="60%">
+</p>
+
+**Optical Character Recognition made seamless & accessible to anyone, powered by TensorFlow 2 & PyTorch**
+
+## Task: classification
+
+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)
+```

config.json

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+{
+  "mean": [
+    0.694,
+    0.695,
+    0.693
+  ],
+  "std": [
+    0.299,
+    0.296,
+    0.301
+  ],
+  "input_shape": [
+    3,
+    32,
+    32
+  ],
+  "classes": [
+    "0",
+    "1",
+    "2",
+    "3",
+    "4",
+    "5",
+    "6",
+    "7",
+    "8",
+    "9",
+    "a",
+    "b",
+    "c",
+    "d",
+    "e",
+    "f",
+    "g",
+    "h",
+    "i",
+    "j",
+    "k",
+    "l",
+    "m",
+    "n",
+    "o",
+    "p",
+    "q",
+    "r",
+    "s",
+    "t",
+    "u",
+    "v",
+    "w",
+    "x",
+    "y",
+    "z",
+    "A",
+    "B",
+    "C",
+    "D",
+    "E",
+    "F",
+    "G",
+    "H",
+    "I",
+    "J",
+    "K",
+    "L",
+    "M",
+    "N",
+    "O",
+    "P",
+    "Q",
+    "R",
+    "S",
+    "T",
+    "U",
+    "V",
+    "W",
+    "X",
+    "Y",
+    "Z",
+    "!",
+    "\"",
+    "#",
+    "$",
+    "%",
+    "&",
+    "'",
+    "(",
+    ")",
+    "*",
+    "+",
+    ",",
+    "-",
+    ".",
+    "/",
+    ":",
+    ";",
+    "<",
+    "=",
+    ">",
+    "?",
+    "@",
+    "[",
+    "\\",
+    "]",
+    "^",
+    "_",
+    "`",
+    "{",
+    "|",
+    "}",
+    "~",
+    "°",
+    "£",
+    "€",
+    "¥",
+    "¢",
+    "฿",
+    "à",
+    "â",
+    "é",
+    "è",
+    "ê",
+    "ë",
+    "î",
+    "ï",
+    "ô",
+    "ù",
+    "û",
+    "ü",
+    "ç",
+    "À",
+    "Â",
+    "É",
+    "È",
+    "Ê",
+    "Ë",
+    "Î",
+    "Ï",
+    "Ô",
+    "Ù",
+    "Û",
+    "Ü",
+    "Ç"
+  ],
+  "url": null,
+  "num_classes": 126,
+  "arch": "resnet34_wide",
+  "task": "classification"
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7073b08e93cbabba8d15053b1ce1e017bfac9c7f4cf53cc34faf13e6026f2021
+size 341062669