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Entry  Thu May 23 15:37:30 2019, Milind, Update, Cameras, Simulation enhancements and performance of contour detection 6x
    Reply  Sat May 25 20:29:08 2019, Milind, Update, Cameras, Simulation enhancements and performance of contour detection residue_normalised_x.pdfresidue_normalised_x.pdfresidue_normalised_x.pdfpredicted_motion_x.pdfnormalised_comparison_y.pdf
       Reply  Wed Jun 12 22:02:04 2019, Milind, Update, Cameras, Simulation enhancements  simulated_motion0.mp4simulated_motion0.mp4simulated_motion0.mp4
          Reply  Mon Jun 17 14:36:13 2019, Milind, Update, Cameras, Convolutional neural networks for beam tracking 
             Reply  Tue Jun 18 22:54:59 2019, Milind, Update, Cameras, Convolutional neural networks for beam tracking 
                Reply  Tue Jun 25 00:25:47 2019, Milind, Update, Cameras, Convolutional neural networks for beam tracking 8x
                   Reply  Tue Jun 25 22:14:10 2019, Milind, Update, Cameras, Convolutional neural networks for beam tracking 
                      Reply  Thu Jun 27 20:48:22 2019, Milind, Update, Cameras, Convolutional neural networks for beam tracking readme.txtframe0.pdfLearning_curves.pngMotion.png
                         Reply  Thu Jul 4 18:19:08 2019, Milind, Update, Cameras, Convolutional neural networks for beam tracking Motion.pdfError.pdfLearning_curves.pdf
                            Reply  Mon Jul 8 17:52:30 2019, Milind, Update, Cameras, Convolutional neural networks for beam tracking Motion.pdf
                               Reply  Tue Jul 9 22:13:26 2019, Milind, Update, Cameras, Convolutional neural networks for beam tracking predicted_motion_first.pdfpcdev5_time.png
                                  Reply  Wed Jul 10 22:32:38 2019, Milind, Update, Cameras, Convolutional neural networks for beam tracking 
                               Reply  Mon Jul 15 14:09:07 2019, Milind, Update, Cameras, CNN LSTM for beam tracking cnn-lstm.pngfft_yaw.pdfyaw_motion.pdf
                                  Reply  Fri Jul 19 16:47:06 2019, Milind, Update, Cameras, CNNs for beam tracking || Analysis of results 7x
                                     Reply  Sat Jul 20 12:16:39 2019, gautam, Update, Cameras, CNNs for beam tracking || Analysis of results 
                                        Reply  Sat Jul 20 14:43:45 2019, Milind, Update, Cameras, CNNs for beam tracking || Analysis of results frame0.pdfsubplot_yaw_test.pdfintensity_histogram.mp4network2.pdf
                                           Reply  Wed Jul 24 20:05:47 2019, Milind, Update, Cameras, CNNs for beam tracking || Tales of desperation saturation_percentage.pdf
                   Reply  Thu Jul 25 00:26:47 2019, Milind, Update, Cameras, Convolutional neural networks for beam tracking centroid.pdfsubplot_yaw_test.pdf
          Reply  Mon Jun 17 22:19:04 2019, Milind, Update, Computer Scripts / Programs, PMC autolocker 
             Reply  Mon Jul 1 20:18:01 2019, Milind, Update, Computer Scripts / Programs, PMC autolocker 
                Reply  Tue Jul 2 12:30:44 2019, Milind, Update, Computer Scripts / Programs, PMC autolocker 
                   Reply  Sun Jul 7 17:54:34 2019, Milind, Update, Computer Scripts / Programs, PMC autolocker 
          Reply  Tue Jun 25 23:52:37 2019, Milind, Update, Cameras, Simulation enhancements  
             Reply  Mon Jul 1 20:11:34 2019, Milind, Update, Cameras, Simulation enhancements  
Message ID: 14717     Entry time: Tue Jul 2 12:30:44 2019     In reply to: 14715     Reply to this: 14731
Author: Milind 
Type: Update 
Category: Computer Scripts / Programs 
Subject: PMC autolocker 

Just finished a raw version of the autolocker!! Tested it once and was able to achieve lock! This is a python version of the code at /opt/rtcds/caltech/c1/scripts/PSL/PMC/AutoLock.sh.

The current code lives in my users directory. Gautam asked me to put the completed autolocker at /opt/rtcds/caltech/c1/scripts/PSL/PMC/ and that I needn't necessarily put it on git. However, I had previously added it to my Non-linear control repo. Not sure if I should take it off? The current script still lacks some checks like those that enable it to stop after a certain time of attempting to lock or those that handle interrupt signals. Will do that in some time.

P.S. As Koji says, Victory! :-P

P.P.S. Rana pointed out that this is not the objective and what we actually wanna do is run a search over the parameter space of the locking process. I will document my ideas about this process as soon as I do a little more reading. He also said that it would not do to have command line arguments as the main source from which parameters are procured and that .yml files ought to be used instead. I will make that change asap.

 

Quote:

I've begun working on this. Steps to complete:

  1. Convert the autolocker to python. Test that it works.
  2. Run the script with different settings of the servo gain adjust and DC output adjust parameters and obtain a plot of the average time of lock to determine what the best settings of the aforementioned parameters are.
Quote:

As Rana asked me to in the last meeting, I dug through the elogs to determine what had become of the previous autolockers. I stumbled upon this elog by Rana from before Gautam cleaned up the medm screen. Out of curiosity, I ran the autolocker script using the instructions in Rana's elog. I did this a total of 5 times and could lock the PMC 3 times fairly quickly. I attempted to decipher the details of the code but did not make much headway owing to my unfamiliarity with the language. From what I could make out from the medm screen while the autolocker was running, it appeared to be the same method as that in this elog. I will take a look at it again tomorrow. However, I intend to spend most of tomorrow working on preprocessing the data, developing the CNN script and then the simulation. 

Quote:
 
  1.  I shall also begin working on a script to autolock the PMC based on what Rana showed me on Monday. I will also take a look at the the contents of this elog and try to pick up from there. I hope to make significant progress by the next lab meeting.
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