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* added chatGLM readme * changed wording in readme * added readme for chinese-clip * added readme for convmixer * added readme for custom ops * added readme for efficientnet * added readme for llama * added readme to mnist-training * added readme to musicgen * added readme to quantized-phi * added readme to starcoder2 * added readme to whisper-microphone * added readme to yi * added readme to yolo-v3 * added readme to whisper-microphone * added space to example in glm4 readme * fixed mamba example readme to run mamba instead of mamba-minimal * removed slash escape character * changed moondream image to yolo-v8 example image * added procedure for making the reinforcement-learning example work with a virtual environment on my machine * added simple one line summaries to the example readmes without * changed non-existant image to yolo example's bike.jpg * added backslash to sam command * removed trailing - from siglip * added SoX to silero-vad example readme * replaced procedure for uv on mac with warning that uv isn't currently compatible with pyo3 * added example to falcon readme * added --which arg to stella-en-v5 readme * fixed image path in vgg readme * fixed the image path in the vit readme * Update README.md * Update README.md * Update README.md --------- Co-authored-by: Laurent Mazare <laurent.mazare@gmail.com>
candle-convmixer
A lightweight CNN architecture that processes image patches similar to a vision transformer, with separate spatial and channel convolutions.
ConvMixer from Patches Are All You Need? and ConvMixer.
Running an example
$ cargo run --example convmixer --release -- --image candle-examples/examples/yolo-v8/assets/bike.jpg
> mountain bike, all-terrain bike, off-roader: 61.75%
> unicycle, monocycle : 5.73%
> moped : 3.66%
> bicycle-built-for-two, tandem bicycle, tandem: 3.51%
> crash helmet : 0.85%