10 items tagged “computervision”
2018
jantic/DeOldify (via) “A Deep Learning based project for colorizing and restoring old images”. Delightful (and well documented) project that uses a Self-Attention Generative Adversarial Network to colorize old black and white photos, with extremely impressive results. Built on an older version of the fastai library, and trained by running for several days on a 1080TI graphics card. # 2nd November 2018, 11:13 am
Automatically playing science communication games with transfer learning and fastai
This weekend was the 9th annual Science Hack Day San Francisco, which was also the 100th Science Hack Day held worldwide.
[... 1174 words]BearID: Bear Face Detector. Comprehensive tutorial on building a computer vision system to identify faces of bears, using dlib and the Histogram of Oriented Gradients (HOG) technique. Bears! # 1st March 2018, 5:31 pm
Family fun with deepfakes. Or how I got my wife onto the Tonight Show. deepfakes is dystopian nightmare technology: take a few thousand photos of two different people with similar shaped faces and you can produce an extremely realistic video where you swap one person’s face for the other. Unsurprisingly it’s being used for porn. This is a pleasantly SFW explanation of how it works, complete with a demo where Sven Charleer swaps his wife Elke for Anne Hathaway on the Tonight Show. # 2nd February 2018, 4:06 pm
6M observations total! Where has iNaturalist grown in 80 days with 1 million new observations? Citizen science app iNaturalist is seeing explosive growth at the moment—they’ve been around for nearly a decade but 1/6 of the observations posted to the site were added in just the past few months. Having tried the latest version of their iPhone app it’s easy to see why: snap a photo of some nature and upload it to the app and it will use surprisingly effective machine learning to suggest the genus or even the individual species. Submit the observation and within a few minutes other iNaturalist community members will confirm the identification or suggest a correction. It’s brilliantly well executed and an utter delight to use. # 28th January 2018, 8:18 pm
2017
How to train your own Object Detector with TensorFlow’s Object Detector API (via) Dat Tran built a TensorFlow model that can detect raccoons! Impressive results, especially given it was only trained on 200 raccoon images from Google Image search. # 14th November 2017, 4:24 am
2010
PythonInterface—OpenCV (via) OpenCV’s new Python interface looks very nice. I’d love to see some full fledged examples of using it to solve real-world computer vision problems. # 4th January 2010, 11:33 am
2009
Looking for tennis courts on aerial photos. ahathereitis.com shows a map of tennis courts in the Bay Area, identified using computer vision techniques (with OpenCV) applied to satellite photos. # 5th December 2009, 8:56 am
PhotoSketch turns a rough sketch in to a photo montage (via) Computer vision is really exciting at the moment—Photosketch is an application which takes a rough labeled sketch, finds images matching the labels, filters them by the sketched shapes and composes them in to a not-too-bad photo montage. As wmf on Hacker News points out, “this technology has epic potential in the LOLcat market”. # 6th October 2009, 7:59 am
Building Rome in a Day (via) “The first system capable of city-scale reconstruction from unstructured photo collections”—computer vision techniques used to construct 3D models of cities using 10s of thousands of photos from Flickr. Reminiscent of Microsoft PhotoSynth. # 29th July 2009, 3:41 pm