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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 
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                      Reply  Thu Jun 27 20:48:22 2019, Milind, Update, Cameras, Convolutional neural networks for beam tracking readme.txtframe0.pdfLearning_curves.pngMotion.png
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                               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 
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          Reply  Tue Jun 25 23:52:37 2019, Milind, Update, Cameras, Simulation enhancements  
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Message ID: 14678     Entry time: Mon Jun 17 14:36:13 2019     In reply to: 14667     Reply to this: 14682
Author: Milind 
Type: Update 
Category: Cameras 
Subject: Convolutional neural networks for beam tracking 

Begun setting up an environment (as mentioned before, on my local machine) and scripts to run experiments with Convolutional networks for beam tracking. All code has been pushed to this folder in the GigEcamera repository. I am presently looking for pre-processing techniques for the video which go beyond the usual "Crop the images! Normalize pixel values! Convert to Grayscale!".

Quote:

Networks for beam tracking:

  1. I will use the architectures suggested in this work with a few modifications. I will use MSE loss function, Adam optimizer and my local GPU for training.

 

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