Add tf_finetuned_doctr_v3 model

.gitattributes

@@ -30,3 +30,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tf_model/weights.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
+tf_model/weights.index filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,66 @@
+
+---
+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": "/content/drive/MyDrive/OCR_Finetuning/Dates",
+  "val_path": "/content/drive/MyDrive/OCR_Finetuning/test",
+  "train_samples": 1000,
+  "val_samples": 20,
+  "font": "FreeMono.ttf,FreeSans.ttf,FreeSerif.ttf",
+  "min_chars": 1,
+  "max_chars": 12,
+  "name": null,
+  "epochs": 10,
+  "batch_size": 4,
+  "input_size": 32,
+  "lr": 0.001,
+  "workers": 2,
+  "resume": null,
+  "vocab": "legacy_french",
+  "test_only": false,
+  "show_samples": false,
+  "wb": false,
+  "push_to_hub": false,
+  "pretrained": true,
+  "amp": false,
+  "find_lr": false
+}

config.json

@@ -0,0 +1,21 @@
+{
+  "mean": [
+    0.694,
+    0.695,
+    0.693
+  ],
+  "std": [
+    0.299,
+    0.296,
+    0.301
+  ],
+  "input_shape": [
+    32,
+    128,
+    3
+  ],
+  "vocab": "0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ!\"#$%&'()*+,-./:;<=>?@[\\]^_`{|}~°àâéèêëîïôùûçÀÂÉÈËÎÏÔÙÛÇ£€¥¢฿",
+  "url": "https://doctr-static.mindee.com/models?id=v0.3.0/crnn_vgg16_bn-76b7f2c6.zip&src=0",
+  "arch": "crnn_vgg16_bn",
+  "task": "recognition"
+}

tf_model/checkpoint

@@ -0,0 +1,2 @@
+model_checkpoint_path: "weights"
+all_model_checkpoint_paths: "weights"

tf_model/weights.data-00000-of-00001

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b1f89bacd13e26dc78038db5782d5c14f1ba996ffa5b04edc1ac88f9e2599e03
+size 63253338

tf_model/weights.index

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ac7e600e3f89225eb5151373c1ca514bf8f5fe646f92f405dcec4f6739b86f45
+size 5379