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Spatial Pyramid Pooling lets CNNs process images of any size, removing the fixed-size input constraint. A from-scratch PyTorch implementation demonstrates the technique. The approach enables variable image dimensions without cropping or warping, improving flexibility for real-world computer vision tasks.
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