pyvision3 0.1.5

Facilitates computer vision research and prototyping using python and openCV

A python 3 computer vision library that complements OpenCV 3.x to add many useful features for developers and researchers alike. Pyvision provides utilities that help in these core areas: training data preparation, displaying results, and applying vision algorithms to video streams.

Training data preparation:

• Apply affine transformations

• Label points and polygons in images

• Generate defined or random crops in images

• Select good vs. bad tiles in a montage display

Displaying results:

• Easy and powerful image annotations of shapes, lines, text, and overlay masks

• Compatible with shapely – annotate shapely polygons to images

• Annotations are kept on a separate layer from the underlying image

• Display the image and save images with or without annotations

• Show results in an “image montage” – multiple images or tiles shown in a grid

• Use image montage to select results (or to provide manual QA on the results)

• Play back sequences of images like a video, with pause-and-play interface

Video processing:

• Pyvision Video class makes it easy to view and process common video files (avi, mpg, etc.), directories of images, or live streams from USB or IP cameras.

• Video objects are iterators. `for frame in vid: ...`

• Create videos of your results, save a sequence of results as an avi file, for example. Simple and pythonic!

• Apply background subtraction and motion detection to your video streams. Several common algorithms included or invent your own.

• Video interface provides ability to buffer the video, to pause playback, to step through frame-by-frame, to resume playing with a certain per-frame delay, etc.

• Video montage allows you to display multiple videos side-by-side in lockstep! And save the result as another video!

• Register a call-back with a video object to allow you to process each frame with your own encapsulated code.

• Create an image buffer from images or video

• Treat image buffer as a 3D array of grayscale images, or display as a montage

Pyvision3 is intended to be a successor to Pyvision that takes advantage of OpenCV 3.x and Python 3.x features. Huge thanks to David Bolme for being the originator of Pyvision. Many of the ease-of-use and interface ideas from the original Pyvision are carried forward, albeit with new implementations for Pyvision3.