Allow arbitrary model size + safe refactoring #2552
Merged
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
While working on TensorRT/Gstreamer I made a couple of changes, which seems safe to be merged upfront. Those changes should not change existing behavior in any way. The reason for them is to make multi-detector refactoring (edgetpu + TensorRT) easier. Changes are:
load_labels
into thefrigate.utils
calculate_region
function receives the additional parametermodel_size
which adds flexibility to use models with different resolutions, such as 266 and 416tuple
->Tuple
type fix