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| schestowitz | http://twitter.com/brouhaha/statuses/209356691286917120 | Jun 04 00:31 |
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| TechrightsSocial | Title: Twitter / brouhaha: @schestowitz You usually c .::. Size~: 91.74 KB | Jun 04 00:31 |
| qU1j0t3 | ?! | Jun 04 00:34 |
| qU1j0t3 | schestowitz: crap, another bot update needed | Jun 04 00:34 |
| qU1j0t3 | :) | Jun 04 00:34 |
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| schestowitz | non critical :-) | Jun 04 00:39 |
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| XFaCE | qU1j0t3: formic_ http://www.youtube.com/watch?v=Te7za5upSWk | Jun 04 04:00 |
| TechrightsSocial | Title: Nortel Downfall - YouTube .::. Size~: 145.6 KB | Jun 04 04:00 |
| MinceR | http://www.buzzfeed.com/txblacklabel/most-beautiful-bookstore-28m7 | Jun 04 09:13 |
| TechrightsSocial | Title: The Most Beautiful Bookstore In The World .::. Size~: 277.4 KB | Jun 04 09:13 |
| schestowitz | > I am training a classifier based on Local Binary Patterns. I leave Haar | Jun 04 09:41 |
| schestowitz | > methods aside for the time being because they're slower and older (the | Jun 04 09:41 |
| schestowitz | > methods). Is there any large database of car images in the lab? In | Jun 04 09:41 |
| schestowitz | > particular, any database containing images of the back of cars, with a | Jun 04 09:41 |
| schestowitz | > rectangular selection around all the cars in the images? I should be able to | Jun 04 09:41 |
| schestowitz | > detect those at a rate of about 5 FPS on this hardware, depending on the | Jun 04 09:41 |
| schestowitz | > amount of preprocessing and postprocessing (e.g. | Jun 04 09:41 |
| schestowitz | > comparing sizes between frames). | Jun 04 09:41 |
| schestowitz | > | Jun 04 09:41 |
| schestowitz | > The training basically works, but the sample set for positives and | Jun 04 09:41 |
| schestowitz | > background is meager. | Jun 04 09:41 |
| schestowitz | I'll have a look at what's out there. I haven't found anything yet. Some are side shots, e.g. http://cogcomp.cs.illinois.edu/Data/Car/ | Jun 04 09:41 |
| TechrightsSocial | Title: UIUC Image Database : Car Detection .::. Size~: 3.51 KB | Jun 04 09:41 |
| schestowitz | http://pascallin.ecs.soton.ac.uk/challenges/VOC/databases.html | Jun 04 09:51 |
| TechrightsSocial | Title: The PASCAL Object Recognition Database Collection .::. Size~: 47.6 KB | Jun 04 09:51 |
| schestowitz | great page | Jun 04 09:51 |
| schestowitz | I found some car rear DBs at http://www.robots.ox.ac.uk/~vgg/data3.html | Jun 04 09:55 |
| TechrightsSocial | Title: Visual Geometry Group Home Page .::. Size~: 10.24 KB | Jun 04 09:55 |
| schestowitz | http://www.vision.caltech.edu/html-files/archive.html | Jun 04 09:55 |
| TechrightsSocial | Title: Computational Vision: Archive .::. Size~: 39.12 KB | Jun 04 09:55 |
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| schestowitz | > Very good. It seems that they are identical (CalTech). It is a starting | Jun 04 10:41 |
| schestowitz | > point , but you can produce something like that fast (125 rare images) | Jun 04 10:41 |
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| MinceR | http://25.media.tumblr.com/tumblr_m4wlh6IQoB1qzfv8po1_500.jpg | Jun 04 21:09 |
| TechrightsSocial | Not a web page! Aborting image/jpeg type | Jun 04 21:09 |
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| qU1j0t3 | @Hoff | Flame reportedly hacked the Windows Update path | Jun 04 22:49 |
| qU1j0t3 | <http://www.f-secure.com/weblog/archives/00002377.html> | Jun 04 22:49 |
| TechrightsSocial | Title: F-Secure - Protection : Antivirus Features & Benefits .::. Size~: 10.47 KB | Jun 04 22:49 |
| qU1j0t3 | @Hoff | This, and the authors somehow acquired Microsoft root certs. | Jun 04 22:49 |
| qU1j0t3 | schestowitz: ^^ | Jun 04 22:49 |
| qU1j0t3 | schestowitz: draw your own conclusions :D | Jun 04 22:49 |
| schestowitz | thanks, I saw it earlier | Jun 04 23:13 |
| schestowitz | two people in the channel mentioned it | Jun 04 23:14 |
| schestowitz | I have a post about it coming | Jun 04 23:14 |
| schestowitz | I've begun showing the tablet (would be same for a phone) some cars which were not included in the training set and it's picking them up correctly most of the time, despite training on just 15 positives and 1000 negatives (commonly called "background"). The pace of processing is 1.5-3 FPS. To get more positives I will need to do manual work or just write a good script (which would not be so trivial as it requires a scanner/ | Jun 04 23:31 |
| schestowitz | parser to pick up and collate pertinent tokens). | Jun 04 23:31 |
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