Skip to main content

Lightweight utility package for common computer vision tasks.

Project description

vito - Vision Tools

View on PyPI Build Status Coverage Status 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)


  • 1.0.4
    • Improved test coverage.
    • Fixed potential future bugs - explicit handling of wrong/unexpected user inputs.
  • 1.0.3
    • Minor bug fix: handle invalid user inputs in imvis.
  • 1.0.2
    • Additional tests and minor improvements (potential bug fixes, especially for edge case inputs).
    • Ensure default image I/O parametrization always returns/saves/loads color images as RGB (even if OpenCV is available/used on your system).
  • 1.0.1
    • Fix colorizing boolean masks (where mask[:] = True or mask[:] = False).
  • 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

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for vito, version 1.0.4
Filename, size File type Python version Upload date Hashes
Filename, size vito-1.0.4-py3-none-any.whl (49.1 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size vito-1.0.4.tar.gz (47.5 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page