Add tablebank models

docs/notes/modelzoo.md

@@ -26,6 +26,8 @@ model.detect(image)
 | [PubLayNet](https://github.com/ibm-aur-nlp/PubLayNet)        | [mask_rcnn_X_101_32x8d_FPN_3x](https://www.dropbox.com/s/nau5ut6zgthunil/config.yaml?dl=1) | lp://PubLayNet/mask_rcnn_X_101_32x8d_FPN_3x/config | 88.98 [eval.csv](https://www.dropbox.com/s/15ytg3fzmc6l59x/eval.csv?dl=0) |
 | [PrimaLayout](https://www.primaresearch.org/dataset/)        | [mask_rcnn_R_50_FPN_3x](https://www.dropbox.com/s/yc92x97k50abynt/config.yaml?dl=1) | lp://PrimaLayout/mask_rcnn_R_50_FPN_3x/config | 69.35 [eval.csv](https://www.dropbox.com/s/9uuql57uedvb9mo/eval.csv?dl=0) |
 | [NewspaperNavigator](https://news-navigator.labs.loc.gov/)       | [faster_rcnn_R_50_FPN_3x](https://www.dropbox.com/s/wnido8pk4oubyzr/config.yml?dl=1) | lp://NewspaperNavigator/faster_rcnn_R_50_FPN_3x/config |                                                              |
+| [TableBank](https://doc-analysis.github.io)       | [faster_rcnn_R_50_FPN_3x](https://www.dropbox.com/s/7cqle02do7ah7k4/config.yaml?dl=1) | lp://TableBank/faster_rcnn_R_50_FPN_3x/config | 89.78 [eval.csv](https://www.dropbox.com/s/1uwnz58hxf96iw2/eval.csv?dl=0) | 
+| [TableBank](https://doc-analysis.github.io)       | [faster_rcnn_R_101_FPN_3x](https://www.dropbox.com/s/h63n6nv51kfl923/config.yaml?dl=1) | lp://TableBank/faster_rcnn_R_101_FPN_3x/config | 91.26 [eval.csv](https://www.dropbox.com/s/e1kq8thkj2id1li/eval.csv?dl=0) |
 
 * For PubLayNet models, we suggest using `mask_rcnn_X_101_32x8d_FPN_3x` model as it's trained on the whole training set, while others are only trained on the validation set (the size is only around 1/50). You could expect a 15% AP improvement using the `mask_rcnn_X_101_32x8d_FPN_3x` model.
 
@@ -36,4 +38,5 @@ model.detect(image)
 | [HJDataset](https://dell-research-harvard.github.io/HJDataset/) | `{1:"Page Frame", 2:"Row", 3:"Title Region", 4:"Text Region", 5:"Title", 6:"Subtitle", 7:"Other"}` |
 | [PubLayNet](https://github.com/ibm-aur-nlp/PubLayNet)        | `{0: "Text", 1: "Title", 2: "List", 3:"Table", 4:"Figure"}`     |
 | [PrimaLayout](https://www.primaresearch.org/dataset/)        | `{1:"TextRegion", 2:"ImageRegion", 3:"TableRegion", 4:"MathsRegion", 5:"SeparatorRegion", 6:"OtherRegion"}` |
-| [NewspaperNavigator](https://news-navigator.labs.loc.gov/)        | `{0: "Photograph", 1: "Illustration", 2: "Map", 3: "Comics/Cartoon", 4: "Editorial Cartoon", 5: "Headline", 6: "Advertisement"}` |
+| [NewspaperNavigator](https://news-navigator.labs.loc.gov/)        | `{0: "Photograph", 1: "Illustration", 2: "Map", 3: "Comics/Cartoon", 4: "Editorial Cartoon", 5: "Headline", 6: "Advertisement"}` |
+| [TableBank](https://doc-analysis.github.io)         | `{0: "Table"}` |

src/layoutparser/models/catalog.py

@@ -18,7 +18,11 @@
     },
     "NewspaperNavigator": {
         'faster_rcnn_R_50_FPN_3x': 'https://www.dropbox.com/s/6ewh6g8rqt2ev3a/model_final.pth?dl=1',
-    }
+    },
+    "TableBank": {
+        'faster_rcnn_R_50_FPN_3x': 'https://www.dropbox.com/s/8v4uqmz1at9v72a/model_final.pth?dl=1',
+        'faster_rcnn_R_101_FPN_3x': 'https://www.dropbox.com/s/6vzfk8lk9xvyitg/model_final.pth?dl=1',
+    },
 }
 
 CONFIG_CATALOG = {
@@ -37,7 +41,11 @@
     },
     "NewspaperNavigator": {
         'faster_rcnn_R_50_FPN_3x': 'https://www.dropbox.com/s/wnido8pk4oubyzr/config.yml?dl=1',
-    }
+    },
+    "TableBank": {
+        'faster_rcnn_R_50_FPN_3x': 'https://www.dropbox.com/s/7cqle02do7ah7k4/config.yaml?dl=1',
+        'faster_rcnn_R_101_FPN_3x': 'https://www.dropbox.com/s/h63n6nv51kfl923/config.yaml?dl=1',
+    },
 }
 
 

tests/test_model.py

@@ -10,6 +10,8 @@
     "lp://PubLayNet/mask_rcnn_R_50_FPN_3x/config",
     "lp://PubLayNet/mask_rcnn_X_101_32x8d_FPN_3x/config",
     "lp://NewspaperNavigator/faster_rcnn_R_50_FPN_3x/config",
+    "lp://TableBank/faster_rcnn_R_50_FPN_3x/config",
+    "lp://TableBank/faster_rcnn_R_101_FPN_3x/config",
 ]