What is pytorch-filters?

A PyTorch package with 42+ edge detection filters as nn.Modules, fully differentiable for CV pipelines.

How do you install pytorch-filters?

pip install pytorch-filters. Requires PyTorch 1.8+. Works on CPU/GPU.

No for pure inference, yes for training with gradients. Use case dependent.

One dev, 42 filters, zero OpenCV baggage. PyTorch-Filters lands on PyPI, promising differentiable edges for modern CV pipelines.

theAIcatchup Apr 08, 2026 3 min read

pytorch-filters delivers 42 differentiable edge kernels as torch.nn.Modules, fixing OpenCV-torch integration pains. 𝕏
Pure torch design enables end-to-end gradients, ideal for modern CV training pipelines. 𝕏
Early-stage gem with high potential – could standardize filters in torchvision. 𝕏

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#PyTorch #Python package #computer vision #edge detection #pytorch-filters

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Originally reported by dev.to