Damien45's profile - activity

overview network karma followed questions activity

2020-10-08 15:13:03 -0600	received badge	● Notable Question (source)
2019-11-10 07:42:56 -0600	received badge	● Popular Question (source)
2018-04-13 07:23:09 -0600	received badge	● Student (source)
2018-04-04 06:47:46 -0600	commented question	Enable cudacodec::VideoReader I think that it is a bug, so I created an issue : https://github.com/opencv/opencv/issues/11220
2018-04-04 05:46:04 -0600	commented question	Enable cudacodec::VideoReader Did not work with WITH_NVCUVID. Always the same error message.
2018-04-04 03:40:36 -0600	commented question	Enable cudacodec::VideoReader Thank you, it helps me to go further (see EDIT on the question)
2018-04-04 03:12:31 -0600	received badge	● Enthusiast
2018-04-03 13:51:22 -0600	asked a question	Enable cudacodec::VideoReader Enable cudacodec::VideoReader Good morning, I try to use the cuda VideoReader to read a mkv/h264 file. I see in the doc
2017-05-15 14:54:07 -0600	asked a question	Best approach to detect read numbers from 1 to 99 Hi ! I'm currently using OpenCV to detect things on a video and those things have sometime a number printed on, which I want to read. Theses numbers could be from 1 to 99 and I'm able to extract them in a binary image as : http://vps166675.ovh.net/img126.jpg.b... http://vps166675.ovh.net/img130.jpg.b... http://vps166675.ovh.net/img101.jpg.b... I try these approches : - Cascade classification using HAAR and HOG classifier : very poor results even if I work with ~500 positives images and thousands of negatives (I train these classifier using gray-scale images) - Tesseract OCR, but, even with these binary images, and even if I told him that there is only digits, it reads 3 as many as 8, so it is not reliable (And it actually reads nothing most of the time). Have you any advice to handle these case ? Maybe a feature type that I don't try ? A hack using hough line detection or things like that ? Thank you in advance. Damien.