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Lightweight utility package for common computer vision tasks.

Project description

vito - Vision Tools

View on PyPI License

Python utilities for common computer vision tasks. The goal of this package is to provide a lightweight package helping you with standard/recurring image manipulation tasks.


  • numpy
  • Pillow


  • Pseudocoloring:
from vito import imutils
from vito import imvis

# Load a single-channel image
peaks = imutils.imread('peaks.png', mode='L')
# Colorize it
colorized = imvis.pseudocolor(peaks, limits=None, color_map=colormaps.colormap_parula_rgb)
  • Optical flow:
from vito import flowutils
from vito import imvis

# Load optical flow file
flow = flowutils.floread('color_wheel.flo')
# Colorize it
colorized = flowutils.colorize_flow(flow)
  • Depth image stored as 16-bit PNG:
from vito import imread
from vito import imvis

# Load 16-bit depth (will be of type np.int32)
depth = imutils.imread('depth.png')
# Colorize it
colorized = imvis.pseudocolor(depth, limits=None, color_map=colormaps.colormap_turbo_rgb)


  • 1.0.0
    • Rename flow package to flowutils.
  • 0.3.2
    • Rename colorization for optical flow.
  • 0.3.1
    • Fix colormaps.by_name() for grayscale.
  • 0.3.0
    • apply_on_bboxes() now supports optional kwargs to be passed on to the user-defined function handle.
    • Changed imread()'s default mode parameter to optional kwargs which are passed on to Pillow.
    • Raising error for non-existing files in imread()
    • Added colormaps.by_name() functionality.
    • Fixed bounding box clipping off-by-one issue.
    • Added imutils tests ensuring proper data types.
  • 0.2.0
    • Optical flow (Middlebury .flo format) I/O and visualization.
    • Support saving images.
    • Colorization to visualize tracking results.
  • 0.1.1
    • Changed supported python versions for legacy tests.
  • 0.1.0
    • First actually useful release.
    • Contains most of the functionality of pvt (a library I developed throughout my studies).
      • cam_projections - projective geometry, lens distortion/rectification (Plumb Bob model), etc.
      • colormaps - colormap definitions for visualization (jet, parula, magma, viridis, etc.)
      • imutils - image loading, conversion, RoI handling (e.g. apply functions on several patches of an image).
      • imvis - visualization helpers, e.g. pseudocoloring or overlaying images.
      • pyutils - common python functions (timing code, string manipulation, list sorting/search, etc.)
  • 0.0.1
    • Initial public release.
    • Contains common python/language and camera projection utils.


  • anonymization utils
  • augmentation

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