tag:blogger.com,1999:blog-8995455167205656082.post6898924158130041757..comments2024-01-24T00:20:26.103-08:00Comments on MareArts Computer Vision Study.: ICF(Integral Channel Features) + WaldBoost example (opencv, ICFDetector uses example)Unknownnoreply@blogger.comBlogger8125tag:blogger.com,1999:blog-8995455167205656082.post-68963256604603276632018-11-30T06:10:54.754-08:002018-11-30T06:10:54.754-08:00Thanks for sharing this useful info.. ICF BlocksThanks for sharing this useful info.. <a href="http://www.newyorkpolysteel.com/" rel="nofollow">ICF Blocks</a><br />Dragon Graphic Designerhttps://www.blogger.com/profile/02142783518111612514noreply@blogger.comtag:blogger.com,1999:blog-8995455167205656082.post-38300807526969533792017-10-02T11:55:15.928-07:002017-10-02T11:55:15.928-07:00The meaning of positive is Pedestrian data.
Negati...The meaning of positive is Pedestrian data.<br />Negative means other images that is non-positive image, that is back ground images.<br /><br />It is okay if the view is fixed. For example, frontal face, car profile, pedestrian side ..<br />Adaboost and SVM are also good.<br /><br />However, deep learning is required to recognize the various views.marehttps://www.blogger.com/profile/13020968187164236752noreply@blogger.comtag:blogger.com,1999:blog-8995455167205656082.post-86796203692794830102017-09-27T14:16:14.620-07:002017-09-27T14:16:14.620-07:00Hi,
Can you please explain what is the meaning of...Hi, <br />Can you please explain what is the meaning of positive and negative images? Does it mean images of objects to be detected with background and just the background images? I am looking to detect cardboard boxes, is this a good module to use? <br />Thank you.Intoxicahttps://www.blogger.com/profile/14863211465722068386noreply@blogger.comtag:blogger.com,1999:blog-8995455167205656082.post-57879908226944779452016-08-10T06:10:40.996-07:002016-08-10T06:10:40.996-07:00!
!<br />essaywriter-onlinehttps://www.blogger.com/profile/14891173595106020671noreply@blogger.comtag:blogger.com,1999:blog-8995455167205656082.post-22188430783760236122016-06-23T15:09:59.523-07:002016-06-23T15:09:59.523-07:00Hi, did you get better results? Thanks for sharing...Hi, did you get better results? Thanks for sharing your example.Manuelhttps://www.blogger.com/profile/09693640454152917760noreply@blogger.comtag:blogger.com,1999:blog-8995455167205656082.post-87506849915715434092016-06-23T15:09:44.950-07:002016-06-23T15:09:44.950-07:00Hi, did you get better results? Thanks for sharing...Hi, did you get better results? Thanks for sharing your example.Manuelhttps://www.blogger.com/profile/09693640454152917760noreply@blogger.comtag:blogger.com,1999:blog-8995455167205656082.post-47604041906525570262016-01-31T16:34:04.200-08:002016-01-31T16:34:04.200-08:00I still did not get good result.
But I cannot say ...I still did not get good result.<br />But I cannot say the detector is bad.<br />Because I don't understand the algorithm.<br />Thank you.<br />marehttps://www.blogger.com/profile/13020968187164236752noreply@blogger.comtag:blogger.com,1999:blog-8995455167205656082.post-19504831418059408782016-01-30T21:20:20.816-08:002016-01-30T21:20:20.816-08:00according to your result image dedector correctnes...according to your result image dedector correctnes is not good ist it ?birol kuyumcuhttps://www.blogger.com/profile/09572588641225833614noreply@blogger.com