QAic QDetect layers¶

The QDetect layer is a proposed layer provided using Python to import and replace the existing detection layers (YoloLayer, SSDLayer, and so on) in the object detection models. This pluggable layer will eliminate the quantization-sensitive operations and will implement a custom operator that is supported in the AIC backend.

QDetect layers can be applied on a pregenerated ONNX model or can be included in the PyTorch source code itself and registered as a custom op.