Update to installation procedure #58
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Changes to installation procedure
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@ben-greenberg thanks for submitting this. I'll be reviewing it soon. |
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| 2. Verify robot controller | |||
| Run the robot execution node and verify that the robot arm and rail joint are moved to the home position | |||
| ``` | |||
| pip install kitchen | |||
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Shouldn't this step be listed under convolutional neural network installation section?
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I believe that I only got the error about missing the kitchen package when I tried to run the test_robot_execution.py script, that's why I put the installation of it prior. I think this would probably be more appropriate in the installation section of the main README if its required to run the base application (with or without the CNN)
| @@ -3,12 +3,18 @@ For using Correspondence Grouping method in object recognition: | |||
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| For using convolutional neural network method in object recognition: | |||
| 1. Make sure your computer has Nvidia GPU; | |||
| lspci | grep VGA | |||
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What message should we see if there's a valid GPU?
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| - This step will also bring up the individual nodes for tool planning, trajectory planning, | |||
| perception and robot execution, each in its own terminal window (don't close the windows). | |||
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| - Run the CNN script in a new window as follows: | |||
| THEANO_FLAGS='floatX=float32' rosrun gilbreth_perception recognition_cnn.py | |||
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The application_run.launch file step above runs the recognition_cnn.py node so it's not necessary to run it a second time. Therefore, the right procedure should probably start with the THEANO_FLAGS environment variable declaration followed by the launch file.
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When I start up using only the application_run.launch file I get the following error: "[recognition_cnn-6] process has finished cleanly"
When I run the recognition_cnn.py node seperately it does not shut down. I'm not sure why this is but it consistently works.
Addition of details to the installation procedure. The most important note is to install the correct versions of Lasagne and Theano.