Joseph Howse
President And Publisher at Nifty Vector
Terence Bay, Nova Scotia, Canada
Summary
👤
Senior🎓
Top SchoolJoseph Howse is a multidisciplinary software leader and founder with 14 years of experience building computer vision, AR/VR, mobile and simulation systems and publishing technical and fiction books through his companies Nummist Media and Nifty Vector. He has made notable open-source contributions to OpenCV—improving video I/O, color-mode handling and camera interface support—and updated Packt’s Learning OpenCV examples for Python 3 compatibility, reflecting deep practical expertise in CV libraries and developer tooling. As President/Publisher and COO he combines hands-on engineering, technical writing, and product strategy while recruiting and mentoring development teams across aerospace, healthcare, gaming and education. He holds three master’s degrees (Computer Science, International Business, International Development Studies) and is equally committed to durable technical artifacts and award-winning storytelling. An often-overlooked strength is his track record of translating research-grade CV work into production-ready frameworks and commercial AR/VR tracking solutions for critical domains.
14 years of coding experience
3 years of employment as a software developer
Master of Computer Science (MCSc), GPA 3.95/4.30, Master of Computer Science (MCSc), GPA 3.95/4.30 at Dalhousie University
English, French, Spanish
Stackoverflow
56reputation
4kreached
2answers
0questions
Github Skills (13)
opencl10
computer-vision10
opencv10
c-language10
cprogramming-language10
python10
image-processing10
directx9
develop9
video-processing9
object-detection6
objective-c6
algorithm6
Programming languages (6)
Github contributions (5)
PacktPublishing/Learning-OpenCV-4-Computer-Vision-with-Python-Third-Edition
May 2019 - Nov 2022
Learning OpenCV 4 Computer Vision with Python 3 – Third Edition, published by Packt
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:71 commits, 8 PRs, 68 pushes in 3 years 6 months
Contributions summary:Joseph primarily worked on updating and adapting existing OpenCV 4 code to ensure compatibility with Python 3. Their commits focused on modifying code in various Python scripts, specifically within Chapter 3, to resolve compatibility issues and simplify code. They also made substantial updates to Cameo projects, addressing formatting, OpenCV 4 compatibility, and support for ASUS Xtion cameras within the project. Furthermore, the user reorganized files, included new datasets, and adjusted parameters to improve the performance of the examples.
pythonvisionpacktcomputer-visionpython-3
techfort/pycv
Jul 2015 - Oct 2020
Website of the book "Learn OpenCV 3 with Python"
Role in this project:Back-end Developer
Back-end DeveloperContributions:12 commits, 18 PRs, 12 pushes in 5 years 3 months
Contributions summary:Joseph's contributions focused on updating the code for compatibility with OpenCV 3. They modified several files, primarily within the `first_edition` directory, to address changes in the OpenCV API. The updates included adjustments to image processing, video capture, and video writing functionalities. They also made changes to file paths and video format.
pythonpython3computer-vision
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