Changes between Version 26 and Version 27 of Other/Summer/2025/self-driving

Timestamp:

Jun 19, 2025, 2:35:37 PM (4 days ago)

Author:

MichelleGutwein

Comment:

—

Other/Summer/2025/self-driving

@@ -53 +53 @@
 We used the fisheye model to train on [[BR]]
 1. Open a new terminal and connect to the rascal server's IP address by using this command: **ssh rascaltrain@10.244.176.240** [[BR]]
-2. Open **upcar/dataProcessing** and type **./copyFromCar.sh** which will get the files from the car and bring them over to the server [[BR]]
+2. Open **/upcar/dataProcessing** and type **./copyFromCar.sh** which will get the files from the car and bring them over to the server [[BR]]
 3. It will ask you to select a host. Choose **1) rascal@172.24.114.238** which is the car's IP address [[BR]]
 4. If it asks for a password it's always **si2022sdc** [[BR]]
 5. It will ask you which sessions you want to copy over (pick the session version of the files you want that says smooth) [[BR]]
-6. If you go to sessions (**cd sessions**) and type **ls** your chosen files should be listed there [[BR]]
-7. Go back to **upcar** and move your data to rascaltraining/data: **mv dataProcessing/sessions/<your file name here> rascaltraining/data [[BR]]
-8. If you go into **rascaltraining/data** you should see your file listed [[BR]]
-9. Go back to **rascaltraining** and type the command: **python trainModel.py -m fisheye --center_width 30 --num_bins 3 --use_labels 1.0 -s labels** [[BR]]
+6. If you go to **/sessions** and type **ls** your chosen files should be listed there [[BR]]
+7. Go back to **/upcar** and move your data to /rascaltraining/data: **mv dataProcessing/sessions/<your file name here> rascaltraining/data [[BR]]
+8. If you go into **/rascaltraining/data** you should see your file listed [[BR]]
+9. Go back to **/rascaltraining** and type the command: **python trainModel.py -m fisheye --center_width 30 --num_bins 3 --use_labels 1.0 -s labels** [[BR]]
 10. Now your model is being trained [[BR]]
 11. To stop training press enter [[BR]]
 12. Remember to stop training when the validation loss doesn't seem to be decreasing by a significant amount anymore to avoid overfitting [[BR]]
-13. To push your newly made model to gitlab, go to **cd savedModels** and type **git add -f <your model number here>** [[BR]]
+13. To push your newly made model to gitlab, go to **/rascaltraining/savedModels** and type **git add -f <your model number here>** [[BR]]
 14. Next type the command **git commit -m "<give it a name>"** [[BR]]
 15. Next type the command **git push origin main** [[BR]]