2017-09-06 11:27:04 -0600 | received badge | ● Necromancer (source) |
2017-04-04 08:44:46 -0600 | commented question | OpenCV Video Capture corrupted color Thanks to the moderator for giving me points so that I can add the images. |
2017-04-04 06:53:53 -0600 | asked a question | OpenCV Video Capture corrupted color I am trying to use VideoCapture in OpenCV to open a video stream from IDS uEye Ethernet Cameras on Windows. This is in fact known to be supported out of the box (only on Windows). My initial attempt succeeded with the video running flawlessly (for the first time). But when I modified the code to attempt to grab the time-stamp, the video started behaving weirdly and gave corrupted colors. How the image should look like (taken using the provided software by IDS) How the image looks like when using OpenCV VideoCapture and saving the frame The portion of the code responsible for the video capture I also tried playing around with the the format by setting different values for CV_CAP_PROP_FORMAT but still nothing changed. Note that running the code outputs the following in the console: I do not understand why OpenCV defaults to 640x480 knowing that the original size is correct at 1600x1200 (this is forcing me to set the size manually). Any input as to where might be the problem? |
2017-03-24 03:37:53 -0600 | received badge | ● Enthusiast |
2017-03-21 10:08:35 -0600 | received badge | ● Editor (source) |
2017-03-21 09:54:05 -0600 | asked a question | Is it possible to use dense flow map in estimateRigidTransform? I am trying to implement the algorithm in this paper "Layered Representation for Motion Analysis". In this paper uses dense optical flow and then calculates affine transforms of chunks of the image. It then discards the transformations with high residual errors as being on the edges of layers. As far as I understood from the documentation of This might be silly question but is it possible to formulate the problem in a different way as to output the affine transform of the dense flow? |
2017-02-01 00:24:13 -0600 | commented answer | What is a good thinning algorithm for getting the "skeleton" of characters for OCR? Hey @bsdnoobz, your blog's domain name expired and the links are inaccessible anymore. Could you please provide alternative links. |
2017-01-27 01:17:43 -0600 | commented answer | Detecting thick edges This is the updated link to Pearling. And in case it is moved again look for "Pearling: Stroke segmentation with crusted pearl strings" by B. Whited et al. |