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https://github.com/huggingface/candle.git
synced 2025-06-18 19:47:12 +00:00
Automatic mask generator + point base mask (#773)
* Add more to the automatic mask generator. * Add the target point. * Fix. * Remove the allow-unused. * Mask post-processing.
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@ -19,10 +19,11 @@ pub fn device(cpu: bool) -> Result<Device> {
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pub fn load_image<P: AsRef<std::path::Path>>(
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p: P,
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resize_longest: Option<usize>,
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) -> Result<Tensor> {
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) -> Result<(Tensor, usize, usize)> {
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let img = image::io::Reader::open(p)?
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.decode()
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.map_err(candle::Error::wrap)?;
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let (initial_h, initial_w) = (img.height() as usize, img.width() as usize);
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let img = match resize_longest {
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None => img,
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Some(resize_longest) => {
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@ -41,7 +42,8 @@ pub fn load_image<P: AsRef<std::path::Path>>(
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let (height, width) = (img.height() as usize, img.width() as usize);
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let img = img.to_rgb8();
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let data = img.into_raw();
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Tensor::from_vec(data, (height, width, 3), &Device::Cpu)?.permute((2, 0, 1))
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let data = Tensor::from_vec(data, (height, width, 3), &Device::Cpu)?.permute((2, 0, 1))?;
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Ok((data, initial_h, initial_w))
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}
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pub fn load_image_and_resize<P: AsRef<std::path::Path>>(
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@ -80,3 +82,27 @@ pub fn save_image<P: AsRef<std::path::Path>>(img: &Tensor, p: P) -> Result<()> {
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image.save(p).map_err(candle::Error::wrap)?;
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Ok(())
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}
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pub fn save_image_resize<P: AsRef<std::path::Path>>(
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img: &Tensor,
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p: P,
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h: usize,
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w: usize,
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) -> Result<()> {
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let p = p.as_ref();
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let (channel, height, width) = img.dims3()?;
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if channel != 3 {
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candle::bail!("save_image expects an input of shape (3, height, width)")
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}
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let img = img.permute((1, 2, 0))?.flatten_all()?;
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let pixels = img.to_vec1::<u8>()?;
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let image: image::ImageBuffer<image::Rgb<u8>, Vec<u8>> =
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match image::ImageBuffer::from_raw(width as u32, height as u32, pixels) {
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Some(image) => image,
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None => candle::bail!("error saving image {p:?}"),
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};
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let image = image::DynamicImage::from(image);
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let image = image.resize_to_fill(w as u32, h as u32, image::imageops::FilterType::CatmullRom);
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image.save(p).map_err(candle::Error::wrap)?;
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Ok(())
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}
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