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README.md

@@ -1,4 +1,4 @@
-# FACSvatar v0.2.3-Alpha
+# FACSvatar v0.2.4-Alpha
 
 Affective computing and avatar animation both share that a person's facial expression contains useful information. Up until now, these fields use different processes to obtain and use these data. FACSvatar combines both purposes in a single framework. Empower your Embodied Conversational Agents (ECAs)!
 
@@ -16,8 +16,8 @@ Open 3 terminals and open the project `unity_FACSvatar` in Unity 3D (2017.3)
 0. Press 'play' in the Unity editor
 0. Install the PyZMQ library (ZeroMQ for Python)
 0. Terminal: `python N_proxy_M_bus.py`  (/modules/)
-0. Terminal: `python pub_facs.py`  (/modules/01_facs-from-csv/)
 0. Terminal: `python pub_blend.py`  (/modules/02_facs-to-blendshapes/)
+0. Terminal: `python pub_facs.py`  (/modules/01_facs-from-csv/)
 0. See an avatar move its head and make facial expressions!
 
 For more detailed instructions, see the [FACSvatar documentation](https://facsvatar.readthedocs.io/en/latest/).
@@ -35,7 +35,7 @@ The modularity is made possible by using [ZeroMQ - brokerless messaging library]
 # Functionality
 
 * Stream your facial expressions in real-time into Unity 3D
-* [near-future] Set Shape Keys in Blender with your facial expressions for high-quality rendering and/or export your facial animation for classic trigger-based animation in e.g. games.
+* Set Shape Keys in Blender with your facial expressions for high-quality rendering and/or export your facial animation for classic trigger-based animation in e.g. games.
 [![Manuel Bastioni FACS expressions](https://img.youtube.com/vi/ImB3it_26bc/0.jpg)](https://www.youtube.com/watch?v=ImB3it_26bc)
 * [near-future] Deep Neural Network generation of facial expressions for Human-Agent Interaction.
 * [your modules] Please add your own modules, release your code, and let's expand the functionality of this framework :) More details in the documentation.