Recall that ROI pooling is used to summarize regions in an a…
Recall that ROI pooling is used to summarize regions in an arbitrarily sized input to a fixed sized output. It is a key part to the Faster R-CNN object detection architecture. Write pseudocode to implement the ROI pooling forward pass logic for a single data sample (no-batches). You may assume that this data sample is 2D, single-channel. Clearly mark your inputs, your outputs, and your parameters. No need to handle special edge cases. Using numpy calls/syntax/data structures is allowed. The more concise your solution, the more points will be awarded. import numpy as nproi_pooling_forward() { return }