For now only strings are accepted as the measures parameter in GridSearchCV, RandomizedSearchCV, and cross_validate. It's thus impossible to use those with measures that take specific parameters as input (e.g. #156 ), or to use custom measures.
We should then accept callables in addition to strings.
Each callable should only take the predictions parameter. In order to handle measur
The information is vended by the appropriate types, however, the typography and color information is more about the interface style and should be extracted from the classes themselves. More importantly, this is needed to sink the typography information into FontDescriptor.
Even though our VIO setup is accurate over longer time frames (as confirmed by trajectory plots), it suffers from jitter over shorter durations. We should add a low pass filter to the output of pose prediction to remove the jitter.
In terms of the actual choice of filter, the 1 Euro filter seems very appropriate as it has an [adaptive cut-off](https
Docker Images for IAR Build tools on Linux hosts. This tutorial makes use of the IAR Build Tools for Arm but the same use case applies for the additional architectures that are currently supported on Linux host. The IAR Build Tools for Linux are also available for RISC-V, Renesas RX and Renesas RH850.
For now only strings are accepted as the
measuresparameter inGridSearchCV,RandomizedSearchCV, andcross_validate. It's thus impossible to use those with measures that take specific parameters as input (e.g. #156 ), or to use custom measures.We should then accept callables in addition to strings.
Each callable should only take the
predictionsparameter. In order to handle measur