2020-10-10 14:45:36 -0600 | received badge | ● Student (source) |
2016-02-02 06:40:49 -0600 | received badge | ● Self-Learner (source) |
2016-02-02 05:10:16 -0600 | commented question | Methods to identify licence plates on cars @berak, I am going through CS231n on youtube. I noticed the slides were saying k nearest neighbours are not good for images. FYI. |
2016-02-01 22:05:12 -0600 | commented question | Methods to identify licence plates on cars Ahh i was trying to cut down on the amount of OCR required, if I can recognise trucks first. |
2016-02-01 21:40:30 -0600 | received badge | ● Editor (source) |
2016-02-01 21:40:11 -0600 | commented question | Methods to identify licence plates on cars Ah yes I was confused. I'll make the change. |
2016-02-01 21:09:35 -0600 | asked a question | Methods to identify licence plates on cars Hi all, I've been checking a fair bit of Opencv code on the Internet. I noticed most of the code will first preprocess the image (e.g. binarize, apply edges filter) before sending to K nearest for character recognition. Would it be possible to run K nearest to identify the vehicle (ie. trucks) followed by another K nearest for character recognition. Does it make sense? |
2016-02-01 15:20:16 -0600 | answered a question | Why does number of contours differ on picture resolution Hi all, I've figured out why the contours decrease when the image resolution is reduced. The reason is due to image interpolation. If cv2.resize was used, there is a argument for the type of interpolation to be used: interpolation method:
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2016-01-30 08:20:59 -0600 | commented question | Detect and fix incomplete rectangle I tested Hough Lines on this and it detected nothing, so i think it's more than just using findContours now. Any ideas? I'm trying (1) locate the 'rectangle' then recognise the numbers. |
2016-01-30 05:11:24 -0600 | asked a question | Detect and fix incomplete rectangle Hi all, I am trying to detect the numbers within the white rectangle. My thought process as follows:
I am stuck at step 3 for this photo. There is a hand cutting the rectangle which lets findContours detect no rectangle. So my question is how to detect and fix an incomplete rectangle.
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2016-01-28 21:17:15 -0600 | commented question | Why does number of contours differ on picture resolution Ok, I'll show the code and results shortly. |
2016-01-28 10:40:36 -0600 | asked a question | Why does number of contours differ on picture resolution Hi all, Quick question on findContours. I ran findContours on a picture with resolution of 640 x 960 and findContours returned more contours. I resized the same picture to 320x480 and it returned lesser contours. I'm not sure why is this happening. I would have thought that the resolution is immaterial to findContour. Any ideas? |
2014-03-07 11:42:55 -0600 | asked a question | Strange compilation problem Hi all, I've compiled opencv 2.4.8 but getting errors like this. The lib and include directories are found in the Makefile. Stumped! Makefile ALL = imagedetection all: $(ALL) |
2014-03-05 02:03:35 -0600 | commented answer | Using the -w and -h parameters of the createsamples utility for cascaded training Is -w and -h in pixels? |
2014-03-05 01:44:37 -0600 | commented answer | Using the -w and -h parameters of the createsamples utility for cascaded training Hey StevenPuttermans, I have a similar question - but I'm detecting faces. I have a bunch of photographs taken and stumped by the -w and -h requirements. These photographs have varying sizes of faces due to the distance between the camera and face and also lens effect. How should I look into fitting in the ratio for -w and -h? Question is, do i need to copy and paste each face individually? what about the ratio if some faces are bigger than others? |