add usage information

example_basics_frozen_graph/README.md

 # Basic example
-
-This is an example for openFrameworks which demonstrates how to load and evaluate a _Frozen Graph_ created using TensorFlow.
+This is a very basic example wich demonstrates how to load and infer a _Frozen Graph_ created using TensorFlow.
+_Frozen Graph_ is the standard of storing a graph for versions of TensorFlow < 1.15.
+We wanted to support this feature for legacy reasons.
 
 ### TensorFlow2
+We will create a dummy graph for demonstration purposes.
+To create the model simply run the following command:
+```
+python main.py
+```
+
+### openFrameworks
+By default `ofxTF2::Model` will use the `SavedModel` format. To use the `FrozenGraph` format you may either add the type to the constructor or call `setModelType()` afterwards.
+As the default names differ from the names in the `SavedModel` format make sure to overwrite names of the ins and outs by calling `setup()`.
+```c++
+// set model type and i/o names
+model.setModelType(cppflow::model::TYPE::FROZEN_GRAPH);
+model.setup({{"x:0"}}, {{"Identity:0"}});
+```
+Afterwards you can load the _pb file_ using the `load()` function.
+```c++
+// load the model, bail out on error
+if(!model.load("model.pb")) {
+	std::exit(EXIT_FAILURE);
+}
+```
 
+Everything else should work the same.
 
-### openFrameworks
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+Please understand that we wont be able to invest a lot of time in supporting this feature in the future.
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