3 ms·
computer vision is trivial? when did that happen?and how was it made trivial?
by tayo42 8y ago
computer vision is trivial? when did that happen?and how was it made trivial?
- tlrobinson 8y agohttp://opencv.org/ http://opencv.org/ Counting the number of round colored objects on a white background is not a hard problem. I think I've found a project for this evening...
- dekhn 8y agoI've done a few computer vision projects lately and it's really amazing what you can get done with opencv for relatively clean data. In this case you're trying to identify circles and classify their color into one of several groups. This is pretty common, the main challenge is cleaning up the raw data so that the hough transform runs quickly and accurately, and the color cluster identifier is robust. If you're pretty good with Tensorflow, you could do it with an object detector. I've built absurdly accurate object detectors using the TF Object Detector tutorial and just a little hand labelled data plus some good synthetic augmentation. For this project's scope and scale it's probably not worth automating unless you're going to be repeatedly running the process.
- vortico 8y agoHe's saying detecting skittle colors is "trivial" in the field of computer vision, and he would be correct. A 50 line Python script with a popular classifier library would solve this problem with high accuracy. This is perhaps the easiest problem to solve with CV and would be a great first tutorial for such libraries.