DORA (Dataflow-Oriented Robotic Architecture) is middleware designed to streamline and simplify the creation of AI-based robotic applications. It offers low latency, composable, and distributed dataflow capabilities. Applications are modeled as directed graphs, also referred to as pipelines.
In order to get the best performance from Qwenvl2, we need to temporary add this piece of code that is going to unqueue qwenvl queue.
This is directly linked to: https://github.com/dora-rs/dora/pull/652 which is that we currently having a queue issue within nodes for queue_size: 1 where the queue is actually pending older data and not the newest one.
In order to get the best performance from Qwenvl2, we need to temporary add this piece of code that is going to unqueue qwenvl queue.
This is directly linked to: https://github.com/dora-rs/dora/pull/652 which is that we currently having a queue issue within nodes for
queue_size: 1
where the queue is actually pending older data and not the newest one.