test data for scene text detection and recognition API

Author: HannibalAPE

testdata/dnn/download_models.py

@@ -853,6 +853,21 @@ def get_confirm_token(response):  # in case of large files
         url='https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v4_pre/yolov4-tiny.weights',
         sha='d110379b7b86899226b591ad4affc7115f707157',
         filename='yolov4-tiny.weights'),
+    Model(
+        name='crnn',
+        url='https://drive.google.com/uc?export=dowload&id=1ooaLR-rkTl8jdpGy1DoQs0-X0lQsB6Fj',
+        sha='270d92c9ccb670ada2459a25977e8deeaf8380d3',
+        filename='onnx/models/crnn.onnx'),
+    Model(
+        name='DB_IC15_resnet50',
+        url='https://drive.google.com/uc?export=dowload&id=1cmAs91yFRyC2LC3nTTBNNYooyEmb0i5t',
+        sha='da39a3ee5e6b4b0d3255bfef95601890afd80709',
+        filename='onnx/models/DB_IC15_resnet50.onnx'),
+    Model(
+        name='DB_TD500_resnet50',
+        url='https://drive.google.com/uc?export=dowload&id=1_9KB6QkIghp2VNZti_dJ3Araz-nDZBsL',
+        sha='6d3b7b84fc23906be7d583a8cedef727cc351fad',
+        filename='onnx/models/DB_TD500_resnet50.onnx'),
 ]
 
 # Note: models will be downloaded to current working directory