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update link to tf_text_graph_ssd.py
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@ -68,7 +68,7 @@ You can use one of the configs that has been tested in OpenCV. Choose it depends
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| MobileNet-SSD | TensorFlow < 1.4 | [weights](http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_coco_11_06_2017.tar.gz) | [config](https://github.com/opencv/opencv_extra/blob/master/testdata/dnn/ssd_mobilenet_v1_coco.pbtxt) |
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### Generate a config file
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Use [tf_text_graph_ssd.py](https://github.com/dkurt/opencv/blob/dnn_tool_ssd_text_graph/samples/dnn/tf_text_graph_ssd.py) script to generate a text graph representation. If your model has different values of `num_classes`, `min_scale`, `max_scale`, `num_layers` or `aspect_ratios` comparing to [origin configuration files](https://github.com/tensorflow/models/tree/master/research/object_detection/samples/configs), specify it in the script arguments.
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Use [tf_text_graph_ssd.py](https://github.com/opencv/opencv/blob/master/samples/dnn/tf_text_graph_ssd.py) script to generate a text graph representation. If your model has different values of `num_classes`, `min_scale`, `max_scale`, `num_layers` or `aspect_ratios` comparing to [origin configuration files](https://github.com/tensorflow/models/tree/master/research/object_detection/samples/configs), specify it in the script arguments.
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Try to run the model using OpenCV:
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