1 unstable release

0.1.1 Mar 23, 2022

#849 in Images

MIT license

2MB
638 lines

GitHub Contributors Stars Build Status Downloads Crates.io

imcon

imcon is a library meant as a spiritual successor to ImageMagick, but with fewer dependencies and modern command line interface.

Right now it's in a very early stage of development, but it's a work in progress.

Supported file types:

  • PDF
  • HEIC
  • PNG
  • JPEG
  • TIFF
  • GIF
  • BMP
  • ICO
  • SVG

Usage

imcon --scale 2 ~/Downloads/multipage.pdf

This will scale the PDF to double the size, and create png files (the default for PDF) in your current directory.

$ ls
multipage0.png
multipage1.png
multipage2.png
multipage3.png

Read the help for more information.

Installation

You need a copy of pdfium to be able to read PDF files. These instructions makes that library available.

git clone https://github.com/kurtbuilds/imcon
cd imcon
# Note this requires sudo, as it installs to /usr/local/, 
# which (should be) owned by root. This script is tiny
# enough that you can read it if you're especially worried 
# about security.
just install_with_library

Note: if you don't already have just, install it with cargo install just.

Installation from cargo is not supported yet.

If you just need imcon and already have pdfium, you can install it with:

git clone https://github.com/kurtbuilds/imcon
cd imcon
just install

Roadmap

  • Add support for PDF
  • Add support for HEIC
  • Add support for PNG
  • Add support for JPEG
  • Add support for TIFF
  • Add support for TGA
  • Add support for BMP
  • Add support for ICO
  • Add support for SVG
  • Add support for WEBP
  • Add support for command line flags
    • --in-place to replace input files in place.
    • --verbose to print out what's happening.
    • --lighten
    • --darken
    • --blur
  • Add support for metadata (i.e. print metadata instead of creating the image)
  • Support for using imcon as both a CLI and a library.
  • Build a Python wrapper library.
  • Build a Node wrapper library.
  • Build a Ruby wrapper library.
  • Write docs on target_width/height vs max_width/height.
  • Create a Brew formula for installing Pdfium.
  • Make build rules for libheif more flexible to diff versions of libheif.
  • Benchmarks on various conversion & image manip operations, compared to other Rust (or other) libs.

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

Development Notes

These are personal notes on solving problems in the repo, not written with public audience in mind.

  • What are operations you want on scaling images?

    • Resize the image to a max side length. (-W $size -H $size)
    • Resize the image to a specific width. (-w $size)
    • Resize the image to a specific height. (-h $size)
  • You might also want to just print metadata.

    • width
    • height
    • channels

    • exif data
    • of pages

  • Resize the image

Future examples

Create a transparent canvas. Prints to stdout. Defaults to .png.

imcon -w 1024 -h 1024 \#000000ff > canvas.png  # can also be \#000f
imcon -w 1024 -h 1024 \#000000ff -o canvas.jpg

cat icon.png | imcon --stdin-format png --stdout-format jpg



imcon canvas.png --dominant 5 

# this is the brown ugly shit.
avg_patch = np.ones(shape=img.shape, dtype=np.uint8)*np.uint8(average)

indices = np.argsort(counts)[::-1]   
freqs = np.cumsum(np.hstack([[0], counts[indices]/float(counts.sum())]))
rows = np.int_(img.shape[0]*freqs)

dom_patch = np.zeros(shape=img.shape, dtype=np.uint8)
for i in range(len(rows) - 1):
    dom_patch[rows[i]:rows[i + 1], :, :] += np.uint8(palette[indices[i]])
    
fig, (ax0, ax1) = plt.subplots(1, 2, figsize=(12,6))
ax0.imshow(avg_patch)
ax0.set_title('Average color')
ax0.axis('off')
ax1.imshow(dom_patch)
ax1.set_title('Dominant colors')
ax1.axis('off')
plt.show(fig)


    DataSource {
        File(Path, Format),
        Memory(Bytes, Format),
        Image(::image::DynamicImage),
    }

    imcon::Image::open("foo.pdf").save_all_pages("foo.png")

    imcon::open_all("foo.pdf") -> Result<Vec<Image>
    
    either we load the data or it's deferred.
    
    imcon::open_all("foo.pdf") -> Result<Vec<Image>>
    
    imcon::ImageComputation::open("foo.pdf").resize(1024, 1024).save_to_path_template
    
    you can save from a pdf.... ok fine.
    

Dependencies

~23–32MB
~426K SLoC