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--- creating_datasets_for_fingerprinting [2022/11/02 13:51] – [Create your docker image] christiandc
+++ creating_datasets_for_fingerprinting [2022/11/09 12:15] (current) – christiandc
@@ Line 1: / Line 1: @@
-#Creating a dataset for fingerprintinp
+#Creating a dataset for fingerprinting
 The objective of this tutorial is to create a non biased dataset for transmitter identification. By fixing the reciever on a robot, the distance and the canal is constantly and randomly changing, forcing the deep learning process to learn on the RF fingerprints. This tutorial explains how to use FIT/Cortexlab to create this dataset.
@@ Line 29: / Line 29: @@
 In this dockerfile, the first line download the 3.7 Gnuradio version. Then it adds the python files used for the dataset creation and finally it gives the execution rights to the folder.
+Before building the image, take the node list used by the code which is in the scheduler.py file. This node list will be used in the scenario.
 We can now build our image and then access into it with an ssh command :
@@ Line 241: / Line 243: @@
 Login to the computor with the user : ''CorteXbot'' and the password : ''cxlbusr''.
+Transfer the first part python codes folder in the robot computer.
 To run the reciever code (from gr-txid) enter into the terminal :
 <code>
-./GNU-Radio/gr-txid/examples/src/reciever.py -R re_00 -I im_00
+.<file_path>/reciever.py -R re_00 -I im_00
 </code>
@@ Line 286: / Line 289: @@
 <code>
-thomas@srvairlock:~/workspace/cortexbot$ ~/workspace/experience/examples/generateData.sh
+username@srvairlock:~/workspace/cortexbot$ ~/workspace/experience/examples/generateData.sh
 </code>
-All the radios present in the scenario are succesivly sending packets to the robot. You can check thath everything is fine by doing :
+All the radios present in the scenario are succesivly sending packets to the robot. You can check that everything is fine by doing :
 <code>
@@ Line 303: / Line 306: @@
 ## Gathering the results
+To gather the results, at the end of the emissions we used a USB stick to collect the results directly from the computer of the robot. Copy and paste all the files under the format :
+<code>
+re_00_[number du node] and im_00_[number of node]</code>
+Congratulations, you have succesfully generated a dataset with the FIT/Cortexlab.