This repository provides PrRoI Pooling, an integration-based pooling method for region-of-interest processing in object detection networks. Unlike standard RoI Pooling or RoI Align, it avoids quantization entirely and maintains continuous gradients with respect to bounding box coordinates, enabling end-to-end optimization of detection boxes. It offers CUDA kernels and bindings for both PyTorch and TensorFlow.