A simple Canny edge detector for pytorch
Project description
Canny Edges
A simple Torch.nn.Module to return an image mask representing edges found by the Canny Edge-Finding algorithm.
Usage
Supports:
- Linux only
- PyTorch Tensor images formatted in image batches [B, C, h, w], with float32 data, and values spanning [0,1]
- Any number of channels C
- TorchScript jit script, as well as the newer, traced torch-export, on the Canny
nn.Moduleclass
pip install
pip install canny-chenn
# or,
pixi add --pypi canny_chenn
then
from torch import Tensor
from canny_chenn import Canny
canny = Canny()
img_batch = Tensor([[[[0, 1, 2, 3], [0, 1, 2, 3], [0, 1, 2, 3]],
[[0, 1, 2, 3], [0, 1, 2, 3], [0, 1, 2, 3]],
[[0, 1, 2, 3], [0, 1, 2, 3], [0, 1, 2, 3]],
[[0, 1, 2, 3], [0, 1, 2, 3], [0, 1, 2, 3]]]])
edge_mask = canny(img_batch)
# tensor([[[[0.0000, 0.6333, 0.0000, 0.0000],
# [0.0000, 0.6333, 0.0000, 0.0000],
# [0.0000, 0.6333, 0.0000, 0.0000]]]])
Dev
I use mise to handle project tools. Install it if you don't have it
# clone, install tools
git clone https://github.com/chrishenn/canny.git
cd canny
mise i
# list available just recipes
just --list
Available recipes:
interactive # Detect and display canny edges on a set of test images. Use ctrl+c to kill
lint # run project formatters/linters [alias: l]
test # run basic tests
unsafe # run ruff with unsafe-fixes
# build distribution pkgs locally
uv build --package canny_chenn
# push tag to trigger pypi to build pkgs and publish to pypi
git tag -a v1.0.3 -m v1.0.3 -f && git push --tags -f
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