Pixie - A full-featured 2D graphics library for Python

Overview

Pixie - A full-featured 2D graphics library for Python

Pixie is a 2D graphics library similar to Cairo and Skia.

Github Actions

pip install pixie-python

Features:

  • Typesetting and rasterizing text, including styled rich text via spans.
  • Drawing paths, shapes and curves with even-odd and non-zero windings.
  • Pixel-perfect AA quality.
  • Supported file formats are PNG, BMP, JPG, SVG + more in development.
  • Strokes with joins and caps.
  • Shadows, glows and blurs.
  • Complex masking: Subtract, Intersect, Exclude.
  • Complex blends: Darken, Multiply, Color Dodge, Hue, Luminosity... etc.
  • Many operations are SIMD accelerated.

Image file formats

Format Read Write
PNG
JPEG
BMP
GIF
SVG

Font file formats

Format Read
TTF
OTF
SVG

Joins and caps

Supported Caps:

  • Butt
  • Round
  • Square

Supported Joins:

  • Miter (with miter angle limit)
  • Bevel
  • Round

Blending & masking

Supported Blend Modes:

  • Normal
  • Darken
  • Multiply
  • ColorBurn
  • Lighten
  • Screen
  • Color Dodge
  • Overlay
  • Soft Light
  • Hard Light
  • Difference
  • Exclusion
  • Hue
  • Saturation
  • Color
  • Luminosity

Supported Mask Modes:

  • Mask
  • Overwrite
  • Subtract Mask
  • Intersect Mask
  • Exclude Mask

SVG style paths:

Format Supported Description
M m move to
L l line to
h h horizontal line to
V v vertical line to
C c S s cublic to
Q q T t quadratic to
A a arc to
z close path

Testing

pytest

Examples

git clone https://github.com/treeform/pixie-python to run examples.

Text

python examples/text.py

font = pixie.read_font("examples/data/Roboto-Regular_1.ttf")
font.size = 20

text = "Typesetting is the arrangement and composition of text in graphic design and publishing in both digital and traditional medias."

image.fill_text(
    font,
    text,
    bounds = pixie.Vector2(180, 180),
    transform = pixie.translate(10, 10)
)

example output

Text spans

python examples/text_spans.py

typeface = pixie.read_typeface("examples/data/Ubuntu-Regular_1.ttf")

def make_font(typeface, size, color):
    font = typeface.new_font()
    font.size = size
    font.paints[0].color = color
    return font

spans = pixie.SeqSpan()
spans.append(pixie.Span(
    "verb [with object] ",
    make_font(typeface, 12, pixie.Color(0.78125, 0.78125, 0.78125, 1))
))
spans.append(pixie.Span(
    "strallow\n",
    make_font(typeface, 36, pixie.Color(0, 0, 0, 1))
))
spans.append(pixie.Span(
    "\nstral·low\n",
    make_font(typeface, 13, pixie.Color(0, 0.5, 0.953125, 1))
))
spans.append(pixie.Span(
    "\n1. free (something) from restrictive restrictions \"the regulations are intended to strallow changes in public policy\" ",
    make_font(typeface, 14, pixie.Color(0.3125, 0.3125, 0.3125, 1))
))

image.arrangement_fill_text(
    spans.typeset(bounds = pixie.Vector2(180, 180)),
    transform = pixie.translate(10, 10)
)

example output

Square

python examples/square.py

paint = pixie.Paint(pixie.PK_SOLID)
paint.color = pixie.Color(1, 0, 0, 1)

ctx = image.new_context()
ctx.fill_style = paint

ctx.fill_rect(50, 50, 100, 100)

example output

Line

python examples/line.py

paint = pixie.Paint(pixie.PK_SOLID)
paint.color = pixie.parse_color("#FF5C00")

ctx = image.new_context()
ctx.stroke_style = paint
ctx.line_width = 10

ctx.stroke_segment(25, 25, 175, 175)

example output

Rounded rectangle

python examples/rounded_rectangle.py

paint = pixie.Paint(pixie.PK_SOLID)
paint.color = pixie.Color(0, 1, 0, 1)

ctx = image.new_context()
ctx.fill_style = paint
ctx.rounded_rect(50, 50, 100, 100, 25, 25, 25, 25)
ctx.fill()

example output

Heart

python examples/heart.py

path = pixie.parse_path(
    """
    M 20 60
    A 40 40 90 0 1 100 60
    A 40 40 90 0 1 180 60
    Q 180 120 100 180
    Q 20 120 20 60
    z
    """
)

paint = pixie.Paint(pixie.PK_SOLID)
paint.color = pixie.parse_color("#FC427B")

image.fill_path(path, paint)

example output

Masking

python examples/masking.py

lines = pixie.Image(200, 200)
lines.fill(pixie.parse_color("#FC427B"))

paint = pixie.Paint(pixie.PK_SOLID)
paint.color = pixie.parse_color("#F8D1DD")

ctx = lines.new_context()
ctx.stroke_style = paint
ctx.line_width = 30

ctx.stroke_segment(25, 25, 175, 175)
ctx.stroke_segment(25, 175, 175, 25)

path = pixie.parse_path(
    """
    M 20 60
    A 40 40 90 0 1 100 60
    A 40 40 90 0 1 180 60
    Q 180 120 100 180
    Q 20 120 20 60
    z
    """
)

mask = pixie.Mask(200, 200)
mask.fill_path(path)

lines.mask_draw(mask)
image.draw(lines)

example output

Gradient

python examples/gradient.py

paint = pixie.Paint(pixie.PK_GRADIENT_RADIAL)

paint.gradient_handle_positions.append(pixie.Vector2(100, 100))
paint.gradient_handle_positions.append(pixie.Vector2(200, 100))
paint.gradient_handle_positions.append(pixie.Vector2(100, 200))

paint.gradient_stops.append(pixie.ColorStop(pixie.Color(1, 0, 0, 1), 0))
paint.gradient_stops.append(pixie.ColorStop(pixie.Color(1, 0, 0, 0.15625), 1))

path = pixie.parse_path(
    """
    M 20 60
    A 40 40 90 0 1 100 60
    A 40 40 90 0 1 180 60
    Q 180 120 100 180
    Q 20 120 20 60
    z
    """
)

image.fill_path(path, paint)

example output

Image tiled

python examples/image_tiled.py

path = pixie.Path()
path.polygon(100, 100, 70, 8)

paint = pixie.Paint(pixie.PK_IMAGE_TILED)
paint.image = pixie.read_image("examples/data/baboon.png")
paint.image_mat = pixie.scale(0.08, 0.08)

image.fill_path(path, paint)

example output

Shadow

python examples/shadow.py

path = pixie.Path()
path.polygon(100, 100, 70, sides = 8)

paint = pixie.Paint(pixie.PK_SOLID)
paint.color = pixie.Color(1, 1, 1, 1)

polygon_image = pixie.Image(200, 200)
polygon_image.fill_path(path, paint)

shadow = polygon_image.shadow(
    offset = pixie.Vector2(2, 2),
    spread = 2,
    blur = 10,
    color = pixie.Color(0, 0, 0, 0.78125)
)

image.draw(shadow)
image.draw(polygon_image)

example output

Blur

python examples/blur.py

trees = pixie.read_image("examples/data/trees.png")

path = pixie.Path()
path.polygon(100, 100, 70, 6)

mask = pixie.Mask(200, 200)
mask.fill_path(path)

blur = trees.copy()
blur.blur(20)
blur.mask_draw(mask)

image.draw(trees)
image.draw(blur)

example output

Tiger

python examples/tiger.py

tiger = pixie.read_image("examples/data/tiger.svg")

image.draw(
    tiger,
    pixie.translate(100, 100) *
    pixie.scale(0.2, 0.2) *
    pixie.translate(-450, -450)
)

example output

Comments
  • Having some trouble with vertical alignment

    Having some trouble with vertical alignment

    I'm trying to have some text with two lines, aligned to the bottom of some bounds, and with a small line-height so that the two lines are closer together. However the text is not going where I would expect. It looks like it's going too downwards. When aligned to bottom it even goes outside the bounds. If I leave the line-height to default it also doesn't look right. Am I missing something?

    Here's an example and it's output:

    import pixie
    
    image = pixie.Image(800, 800)
    image.fill(pixie.Color(1, 1, 1, 1))
    
    paint = pixie.Paint(pixie.PK_SOLID)
    paint.color = pixie.Color(1, 0, 0, 1)
    ctx = image.new_context()
    ctx.line_width = 1
    ctx.stroke_style = paint
    ctx.stroke_rect(0, 266, 800, 318)
    
    text = "AbCd\naBcD"
    
    font = pixie.read_font("./Inter-Bold.otf")
    font.size = 182
    font.line_height = 140
    
    font.paint.color = pixie.Color(1, 0, 0, 1)
    image.fill_text(
        font,
        text,
        bounds = pixie.Vector2(800, 318),
        h_align = pixie.HA_CENTER,
        v_align = pixie.VA_TOP,
        transform = pixie.translate(0, 266)
    )
    
    font.paint.color = pixie.Color(0, 1, 0, 1)
    image.fill_text(
        font,
        text,
        bounds = pixie.Vector2(800, 318),
        h_align = pixie.HA_CENTER,
        v_align = pixie.VA_MIDDLE,
        transform = pixie.translate(0, 266)
    )
    
    font.paint.color = pixie.Color(0, 0, 1, 1)
    image.fill_text(
        font,
        text,
        bounds = pixie.Vector2(800, 318),
        h_align = pixie.HA_CENTER,
        v_align = pixie.VA_BOTTOM,
        transform = pixie.translate(0, 266)
    )
    
    image.write_file("out.png")
    

    result

    opened by EnricoMonese 4
  • Unable to load jpg on Linux

    Unable to load jpg on Linux

    Installed pixie-python via pip, however when I try to load a JPG I get the following exception.

    Exception has occurred: PixieError
    Decoding JPG requires -d:pixieUseStb
    

    I guess pixie is using std image library under the hood and the package did not get compiled with the correct options to support this?

    opened by EdMUK 3
  • genny supporting dart ffi

    genny supporting dart ffi

    Hi treeform, very nice lib (looking at the python output), I have recently discovered Flutter over dart language, they create a nice vibrant UI experience. BUT:

    its ffi lib is just so ugly, shudders! it's ffi interop is very verbose and looks annoying to get done, at the same time, devs seem to flock to this (relatively) new platform but not many want to get hands dirty in C code, so Nim to the rescue right?

    Can genny also support the dart programming language? it's just generating a lot of ugly boilerplate code.

    I think it's a chance to get more people to use Nim, and thereby building more libs and contributing to it, which was one of your purposes with genny.

    Aside from that, I personally want to leverage Nim libraries that i and others have written, and use dart and flutter mainly for the GUI story (though in terms of features, dart looks to be a decent language. unfortunately for dart, in terms of syntax - verbose like java and I think no templates, but this is just first impressions.)

    opened by kobi2187 2
  • support encodeImage method

    support encodeImage method

    I see there is an encodeImage proc in the nim library, would it be possible to support that as well as the already existing write_file() in the python layer?

    https://nimdocs.com/treeform/pixie/pixie.html#encodeImage%2CImage%2CFileFormat

    opened by RobBrazier 2
  • OSError: /lib/x86_64-linux-gnu/libm.so.6: version `GLIBC_2.29' not found on Google Colab

    OSError: /lib/x86_64-linux-gnu/libm.so.6: version `GLIBC_2.29' not found on Google Colab

    import pixie gives error:

    ---------------------------------------------------------------------------
    
    OSError                                   Traceback (most recent call last)
    
    <ipython-input-14-4833f4429f21> in <module>()
    ----> 1 import pixie
          2 
          3 
    
    3 frames
    
    /usr/lib/python3.7/ctypes/__init__.py in __init__(self, name, mode, handle, use_errno, use_last_error)
        362 
        363         if handle is None:
    --> 364             self._handle = _dlopen(self._name, mode)
        365         else:
        366             self._handle = handle
    
    OSError: /lib/x86_64-linux-gnu/libm.so.6: version `GLIBC_2.29' not found (required by /usr/local/lib/python3.7/dist-packages/pixie/libpixie.so)
    

    https://i.imgur.com/N1ue3Ce.png

    opened by arye321 2
  • module 'pixie' has no attribute 'PK_SOLID'

    module 'pixie' has no attribute 'PK_SOLID'

    This is the source code:

    import pixie
    
    image = pixie.Image(200, 200)
    image.fill(pixie.Color(1, 1, 1, 1))
    
    paint = pixie.Paint(pixie.PK_SOLID)
    paint.color = pixie.Color(1, 0, 0, 1)
    
    ctx = image.new_context()
    ctx.fill_style = paint
    
    ctx.fill_rect(50, 50, 100, 100)
    
    image.write_file("examples/square.png")
    

    I got the following results: Traceback (most recent call last): File "F:\Python\Python Project\Test\test.py", line 6, in paint = pixie.Paint(pixie.PK_SOLID) AttributeError: module 'pixie' has no attribute 'PK_SOLID'

    opened by ZaneHuangPro 1
  • Request: Text h_align = pixie.JUSTIFY_ALIGN

    Request: Text h_align = pixie.JUSTIFY_ALIGN

    Would be nice if add this alignment style, also give access to Arrangement attributes(selectionRects, lines, positions).

    I've made this little library for making this feature for me, it behaves like the Microsoft Word Office.

    import
        nimpy,
        pixie,
        unicode
    
    pyExportModule("pixie_utils")
    
    const
        LF = Rune(10)
        NR = Rune(0)
    
    proc justifyArrangement*(arrangement: Arrangement, maxWidth: float32) {.raises: [].} =
        proc right(rect: Rect): float32 =
            rect.x + rect.w
    
        let
            runes: ptr = arrangement.runes.addr
            positions: ptr = arrangement.positions.addr
            rects: ptr = arrangement.selectionRects.addr
            last_lineId: int = arrangement.lines.len-1
        var
            rune, last_rune: Rune
            last_wordRuneId: int
            spaces_idx: seq[int]
            inc_width, space_width, line_width, x_offset: float32
        
        for lineId, (start, stop) in arrangement.lines:
            last_rune = runes[stop]
    
            # This line must not be justified, if it is the last or if the last rune is a breakline char.
            if lineId == last_lineId or last_rune.uint32 == LF.uint32:
                continue
    
            echo runes[start..stop]
            # Get the spaces indexes of this line to increase their width, and get the line width.
            spaces_idx = @[]
            last_rune = NR
            for r_id in start..stop:
                rune = runes[r_id]
                if not rune.isWhiteSpace():
                    if last_rune.isWhiteSpace():
                        spaces_idx.add(r_id-1)
                    last_wordRuneId = r_id
                last_rune = runes[r_id]
    
            line_width = rects[last_wordRuneId].right
    
            echo "Line spaces: ", spaces_idx.len
            if spaces_idx.len > 0:
                # Get the amount of pixels/units to increase each space width in the middle of the line.
                inc_width = (maxWidth - line_width) / spaces_idx.len.float32
    
                if inc_width > 0:
                    space_width = rects[spaces_idx[0]].w + inc_width
    
                    # Adjust the runes X position
                    x_offset = 0
                    for r_id in spaces_idx[0]..stop:
                        positions[r_id].x += x_offset
    
                        if r_id in spaces_idx:
                            rects[r_id].x += x_offset
                            rects[r_id].w = space_width
                            x_offset += inc_width
                        else:
                            rects[r_id].x += x_offset
    
    proc justifyArrangement(arrangement_ref: int, maxWidth: float32) {.exportpy: "justifyArrangement".} =
        justifyArrangement(cast[Arrangement](arrangement_ref), maxWidth)
    
    opened by IagoBeuller 0
  • Request: image.to_bytes() function

    Request: image.to_bytes() function

    I need the bytes of the images, for example, use them in pillow or pygame.

    I've made this little library for making this feature for me, it gets the image data bytes as well the png file bytes.

    import
        nimpy,
        pixie
    
    pyExportModule("pixie_utils")
    
    proc getImageBytes*(image: Image, format: string = "png"): string {.raises: [PixieError].} =
      # Gets the bytes from image.
      let encodeFormat = case format:
        of "png": PngFormat
        of "bmp": BmpFormat
        of "jpg", "jpeg": JpegFormat
        of "qoi": QoiFormat
        of "ppm": PpmFormat
        else:
          raise newException(PixieError, "Unsupported image format")
    
      result = image.encodeImage(encodeFormat)
    
    proc getImageData*(image: Image): string {.raises: [].} =
      # Gets the image data as bytes.
      result = newString(image.width * image.height * 4)
      var
        i = 0
        rgba: ColorRGBA
      
      for color in image.data:
        rgba = color.rgba()
        result[i] = rgba.r.char
        result[i+1] = rgba.g.char
        result[i+2] = rgba.b.char
        result[i+3] = rgba.a.char
        i += 4
    
    proc getImageBytes(image_ref: int, format: string = "png"): string {.exportpy: "getImageBytes".} =
        result = getImageBytes(cast[Image](image_ref), format)
    
    proc getImageData(image_ref: int): string {.exportpy: "getImageData".} =
        result = getImageData(cast[Image](image_ref))
    
    opened by IagoBeuller 0
  • Can I do Image Mosaic Using this library?

    Can I do Image Mosaic Using this library?

    Hi,

    If I have known the related offset of translation and angle in pixels between centers of 2 images, can I use this library to generate a mosaic without explicitly considering allocating a big matrix matching to final image size, compensating for non-integer offset values, and converting the offset between image centers to left-up image origin?

    Now, I'm doing these trivial things. It's fragile and troublesome.

    opened by HikariS97 0
Releases(4.3.0)
  • 4.3.0(May 24, 2022)

    What's Changed

    • 4.3.0 by @guzba in https://github.com/treeform/pixie-python/pull/21

    Full Changelog: https://github.com/treeform/pixie-python/compare/4.0.1...4.3.0

    Source code(tar.gz)
    Source code(zip)
  • 4.0.1(Feb 23, 2022)

    What's Changed

    • 4.0.1 by @guzba in https://github.com/treeform/pixie-python/pull/18

    Full Changelog: https://github.com/treeform/pixie-python/compare/3.1.4...4.0.1

    Source code(tar.gz)
    Source code(zip)
  • 3.1.4(Feb 6, 2022)

    What's Changed

    • pixie 3.1.4 by @guzba in https://github.com/treeform/pixie-python/pull/16

    Full Changelog: https://github.com/treeform/pixie-python/compare/3.0.2...3.1.4

    Source code(tar.gz)
    Source code(zip)
  • 3.0.2(Oct 28, 2021)

    What's Changed

    • font.paint by @guzba in https://github.com/treeform/pixie-python/pull/14

    Full Changelog: https://github.com/treeform/pixie-python/compare/0.1.4...3.0.2

    Source code(tar.gz)
    Source code(zip)
Owner
treeform
I like the Nim programming language.
treeform
This tool will help you convert your text to handwriting xD

So your teacher asked you to upload written assignments? Hate writing assigments? This tool will help you convert your text to handwriting xD

Saurabh Daware 4.2k Jan 07, 2023
Binarize document images

Binarization Binarization for document images Examples Introduction This tool performs document image binarization (i.e. transform colour/grayscale to

QURATOR-SPK 48 Jan 02, 2023
OCR of Chicago 1909 Renumbering Plan

Requirements: Python 3 (probably at least 3.4) pipenv (pip3 install pipenv) tesseract (brew install tesseract, at least if you have a mac and homebrew

ted whalen 2 Nov 21, 2021
This is the implementation of the paper "Gated Recurrent Convolution Neural Network for OCR"

Gated Recurrent Convolution Neural Network for OCR This project is an implementation of the GRCNN for OCR. For details, please refer to the paper: htt

90 Dec 22, 2022
Code for the paper: Fusformer: A Transformer-based Fusion Approach for Hyperspectral Image Super-resolution

Fusformer Code for the paper: "Fusformer: A Transformer-based Fusion Approach for Hyperspectral Image Super-resolution" Plateform Python 3.8.5 + Pytor

Jin-Fan Hu (胡锦帆) 11 Dec 12, 2022
This is a GUI program which consist of 4 OpenCV projects

Tkinter-OpenCV Project Using Tkinter, Opencv, Mediapipe This is a python GUI program using Tkinter which consist of 4 OpenCV projects 1. Finger Counte

Arya Bagde 3 Feb 22, 2022
scantailor - Scan Tailor is an interactive post-processing tool for scanned pages.

Scan Tailor - scantailor.org This project is no longer maintained, and has not been maintained for a while. About Scan Tailor is an interactive post-p

1.5k Dec 28, 2022
Corner-based Region Proposal Network

Corner-based Region Proposal Network CRPN is a two-stage detection framework for multi-oriented scene text. It employs corners to estimate the possibl

xhzdeng 140 Nov 04, 2022
Using computer vision method to recognize and calcutate the features of the architecture.

building-feature-recognition In this repository, we accomplished building feature recognition using traditional/dl-assisted computer vision method. Th

4 Aug 11, 2022
Resizing Canny Countour In Python

Resizing_Canny_Countour Install Visual Studio Code , https://code.visualstudio.com/download Select Python and install with terminal( pip install openc

Walter Ng 1 Nov 07, 2021
Python-based tools for document analysis and OCR

ocropy OCRopus is a collection of document analysis programs, not a turn-key OCR system. In order to apply it to your documents, you may need to do so

OCRopus 3.2k Dec 31, 2022
Handwritten Character Recognition using CNN

Handwritten Character Recognition using CNN Problem Definition The main objective of this project is to solve the problem of handwritten character rec

Mohit Kaushik 4 Mar 02, 2022
Web interface for browsing arXiv papers

Currently, arxivbox considers only major computer vision and machine learning conferences

Ankan Kumar Bhunia 12 Sep 11, 2022
Page to PAGE Layout Analysis Tool

P2PaLA Page to PAGE Layout Analysis (P2PaLA) is a toolkit for Document Layout Analysis based on Neural Networks. 💥 Try our new DEMO for online baseli

Lorenzo Quirós Díaz 180 Nov 24, 2022
Convert Text-to Handwriting Using Python

Convert Text-to Handwriting Using Python Description In this project we'll use python library that's "pywhatkit" for converting text to handwriting. t

8 Nov 19, 2022
Vietnamese Language Detection and Recognition

Table of Content Introduction (Khôi viết) Dataset (đổi link thui thành 3k5 ảnh mình) Getting Started (An Viết) Requirements Usage Example Training & E

6 May 27, 2022
An organized collection of tutorials and projects created for aspriring computer vision students.

A repository created with the purpose of teaching students in BME lab 308A- Hanoi University of Science and Technology

Givralnguyen 5 Nov 24, 2021
Msos searcher - A half-hearted attempt at finding a magic square of squares

MSOS searcher A half-hearted attempt at finding (or rather searching) a MSOS (Magic Square of Squares) in the spirit of the Parker Square. Running I r

Niels Mündler 1 Jan 02, 2022
かの有名なあの東方二次創作ソング、「bad apple!」のMVをPythonでやってみたって話

bad apple!! 内容 このプログラムは、bad apple!(feat. nomico)のPVをPythonを用いて再現しよう!という内容です。 実はYoutube並びにGithub上に似たようなプログラムがあったしなんならそっちの方が結構良かったりするんですが、一応公開しますw 使い方 こ

赤紫 8 Jan 05, 2023
OCR powered screen-capture tool to capture information instead of images

NormCap OCR powered screen-capture tool to capture information instead of images. Links: Repo | PyPi | Releases | Changelog | FAQs Content: Quickstart

575 Dec 31, 2022