DAISY - An Eclipse based IDE for Automotive Machine Learning
summary
DAISY is an Eclipse-based IDE that stitches together Python and C++ development, TensorFlow/Theano workflows, Conda and Docker, and remote AWS execution into one workflow, claiming to remove manual handoffs. It provides Conda environment management, remote execution on AWS, automated Docker compose/swarm support, and cross-compilation + dockerization for Nvidia Drive PX execution. The project adds Eclipse CDT and Linux Tools integrations, built custom plugins, and demonstrates working prototypes that push training to cloud machines and deploy compiled networks to an embedded Drive PX target.
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chapters (7)
- 0:00DAISY introduction
- 10:51Eclipse IDE for automotive ML
- 16:17Prototyping ML setups
- 20:10Tooling for devs and scientists
- 23:11Extending Eclipse for ML
- 29:00Plugin integration challenges
- 31:18Q&A
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