The purpose of this site as a whole, and how the blog side relates to this purpose.
My progress with the SimpleCV update was somewhat mixed yesterday. I was able to go from a low of tracebacks on any image operation to a high of loading two photo formats (though not stored with quite the right attributes) before encountering dependency tracebacks on img.show(). Hooray! But I also began to suspect that OpenCV … Continue reading Not-So-SimpleCV: Tracebacks and Bitmaps
After some time away due to a new job & the NASA Space Apps Challenge hackathon, I was finally able to sit down for a day of debugging my fork of SimpleCV. I left off with a version that loads and functions on frozen-in-time dependencies on my Raspberry Pi, but that setup left me with … Continue reading Not-So-SimpleCV: Fixer-Upper
Critically assess your biases. Publish this analysis biases alongside your data insights. Consider who might want to opt out of a given data application. Strive to empathize with users that resist features and aim to understand why. ...the Tao is found where we would least expect it--not in the strong but in the weak; not … Continue reading Dao De Data, Chapter 1
Though I'm still working on getting a Python 3 branch of SimpleCV together, my Python 2.7 master branch has steadily improved to a (mostly) functional state. I've only been able to get it up & running on my Raspberry Pi, where the PiCam driver does not seem to be recognized by SimpleCV, but all capabilities … Continue reading FunctionalCV on Python 2.7
It wasn't until after I'd submitted the talk proposal to 3 conferences that I realized how big of a chunk I'd bitten off by writing in a computer vision aspect. "Participants will gain insight on impactful mindsets and actionable strategies for more effective professional development - as well as a few starter Computer Vision scripts!" … Continue reading Not-So-SimpleCV