1+ _________________________________
2+ Version: 1.0.0
3+ Author: ES Alexander
4+ Release Date: 28/Jul/2020
5+ _________________________________
6+
17# About
28OpenCV is a fantastic tool for computer vision, with significant Python support
39through automatically generated bindings. Unfortunately some basic functionality
@@ -10,13 +16,18 @@ be optimal, but every effort has been made to make the code as performant as
1016possible while ensuring ease of use and helpful errors/documentation.
1117
1218# Requirements
13- This library requires an existing version of OpenCV with Python bindings to be
19+ This library requires an existing version of ` OpenCV ` with Python bindings to be
1420installed (e.g. ` python3 -m pip install opencv-python ` ). Some features (mainly
1521property access helpers) may not work for versions of OpenCV earlier than 4.2.0.
1622The library was tested using Python 3.7.2, and is expected to work down to at least
1723Python 3.4 (although the integrated advanced features example uses matmul (@) for
1824some processing, which was introduced in Python 3.5).
1925
26+ ` Numpy ` is also used throughout, so a recent version is suggested (tested with 1.19.0).
27+
28+ # Installation
29+ The library can be installed from pip, with ` python3 -m pip install pythonic-cv ` .
30+
2031# Usage
2132New functionality is provided in the ` pcv ` module, as described below. All other
2233opencv functionality should be accessed through the standard ` cv2 ` import.
@@ -116,5 +127,5 @@ with VideoReader('my_vid.mp4', skip_frames=0) as vid:
116127# headless mode (no display), operating on every 10th frame
117128with VideoReader(' my_vid.mp4' , auto_delay = False , skip_frames = 10 ,
118129 process = my_processing_func) as vid:
119- vid.stream ()
130+ vid.headless_stream ()
120131```
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