Hi there,
this thread is aimed primarily at comma.ai staff (@geohot etc. - others wecome to comment too though!). You guys want openpilot to be successful and have as many people as possible using it, right? I see a big obstacle here towards that path in the visiond binary being locked down a single high-end $700 smartphone model. Let's make the whole project more accessible by changing this. Seems like the project is still in experimental stage and you need loads of field testing to validate your code and to push it closer to production. You may be getting many more testers when the HW needed costs (just guessing) $100 instead of $700.
I see your business model in keeping your deep neural network closed source and I am perfectly fine with it. But would you want to open-source the most of visiond except your DNN blob so that you keep your intellectual property while allowing for a much wider variety of HW that can be used? Let's open source all visiond (the camera stuff etc.) except your DNN blob and also make that blob as portable as possible (I guess there are ways to making DNN portable?). You will have much better reach and could test performance on various HW and the project may gain more popularity like this. I know this may hurt by having to support various CPU/GPU architectures but I think the benefits may outweigh the drawbacks.
Hope you will be hearing to my post! :)
Hi there,
this thread is aimed primarily at comma.ai staff (@geohot etc. - others wecome to comment too though!). You guys want openpilot to be successful and have as many people as possible using it, right? I see a big obstacle here towards that path in the visiond binary being locked down a single high-end $700 smartphone model. Let's make the whole project more accessible by changing this. Seems like the project is still in experimental stage and you need loads of field testing to validate your code and to push it closer to production. You may be getting many more testers when the HW needed costs (just guessing) $100 instead of $700.
I see your business model in keeping your deep neural network closed source and I am perfectly fine with it. But would you want to open-source the most of visiond except your DNN blob so that you keep your intellectual property while allowing for a much wider variety of HW that can be used? Let's open source all visiond (the camera stuff etc.) except your DNN blob and also make that blob as portable as possible (I guess there are ways to making DNN portable?). You will have much better reach and could test performance on various HW and the project may gain more popularity like this. I know this may hurt by having to support various CPU/GPU architectures but I think the benefits may outweigh the drawbacks.
Hope you will be hearing to my post! :)