Minor compatibility fixes for running the script on a remote machine …

…via ssh.
Sharda-Tech · Nov 16, 2020 · bc39ee6 · bc39ee6
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diff --git a/examples/discovery_of_latent_keypoints/README.md b/examples/discovery_of_latent_keypoints/README.md
@@ -3,5 +3,28 @@ This example requires to install two additional libraries for rendering
 pip install pyrender --user
 pip install trimesh --user
 ```
+If you are running the script on a remote machine via SSH, then might run 
+into the following error:
 
+```
+ValueError: Failed to initialize Pyglet window with an OpenGL >= 3+ context. If you're logged in via SSH, ensure that you're running your script with vglrun (i.e. VirtualGL). The internal error message was ""
+```
+To fix this, you need to run the PyOpenGL in a headless configuration which is not enabled by default. Just uncomment the following line(4) in <em>discover_latent_keypoints.py</em>
+```
+# os.environ["PYOPENGL_PLATFORM"] = 'egl'
+```
+This will use the GPU accelerated rending on your remote machine. To use CPU-accelerated rendering, your need to use
+OSMesa instead of EGL. However, this is not tested yet. 
+```
+# os.environ["PYOPENGL_PLATFORM"] = 'osmesa'
+```
 
+If you run into the following error: 
+```
+tensorflow.python.framework.errors_impl.UnknownError: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above. [Op:Conv2D]
+```
+Either you are short on memory (reduce batch size) or uncomment the following line(5) in <em>discover_latent_keypoints.py</em>
+
+```
+# os.environ['TF_FORCE_GPU_ALLOW_GROWTH'] = 'true'
+```