Replies: 5 comments 9 replies
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Hi @codezerro @javizqh @jmplaza, I trained a model using the newly released combined dataset (~4.8 GB) and successfully exported it to ONNX format. However, when testing it in the End-to-End Visual Control exercise, I’m facing an issue where the application does not execute the code properly. Observations:
This issue is not specific to the new model — even my previously working ONNX model now shows the same behavior. I have the latest RADI and the latest version of RoboticsAcademy running locally. |
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Read the exercise document : https://jderobot.github.io/RoboticsAcademy/exercises/AutonomousCars/end_to_end_visual_control/ we have a model path func from model import model_path_func
model_path = model_path_func("model.onnx") |
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I rebuild the RADI and still stuck here..the code didnt execute the WebGUI..only does when i do Please guide @codezerro @javizqh |
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Hi @codezerro Did the testing for the end2end with the combined dataset. Was able to complete more than half the circuit. Maybe shud check the epochs, am working on that. Everything else seems to working fine, eventhough in turns tends..to deviate from the red line correction is happening so dataset is pretty accurate. Screencast.from.2026-04-20.23-40-06.webm |
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updated the academy and the db to latest and retrained the model .... first turn is pretty good but after the turn model just deviates randomly....as is seen in the terminal the velocity value just explodes...am figuring out the issue tho. Screencast.from.2026-04-22.22-23-58.webm |
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We’ve released new combined dataset for the End-to-End Visual Control exercise on Hugging Face. We invite everyone to build and train a model using this dataset. The goal is to develop a model capable of completing at least one full lap of the track, although completing multiple laps is encouraged. Once your model is ready, please share a short video here.
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