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2018-01-04 10:52:17 -0600 | answered a question | Destination image size of LinearPolar / LogPolar a bit late but I've just submitted a pullrequest (https://github.com/opencv/opencv/pull/10505) to add the required funct |
2017-10-26 18:56:28 -0600 | received badge | ● Nice Answer (source) |
2017-10-14 02:52:00 -0600 | commented answer | How to create "list<Mat>" in 3.0? @opalmirror you are welcome .... enthusiasm is an ingredient for knowledge :) |
2017-10-10 12:33:00 -0600 | commented answer | How to create "list<Mat>" in 3.0? @opalmirror there is no reason to delete your comment but I can advise to write comment or answer only when you well kno |
2017-10-08 11:09:38 -0600 | received badge | ● Nice Answer (source) |
2017-10-07 02:23:50 -0600 | commented answer | How to create "list<Mat>" in 3.0? @opalmirror I'm not full understand your point but I think your suggestion is not applicable to the question. The point |
2017-10-07 02:22:37 -0600 | commented answer | How to create "list<Mat>" in 3.0? @opalmirror I'm not full understand your point but I think your suggestion is not applicable to the question. The point |
2017-10-06 04:55:31 -0600 | commented question | How do I follow the detected line and find more points connected to it? check HoughLines, Tutorial |
2017-10-06 04:33:09 -0600 | received badge | ● Necromancer (source) |
2017-10-06 04:24:54 -0600 | commented question | Using multithreading in opencv double quote berak naive multithreading & global variables -- just don't ! plus mine multithreading without strong b |
2017-10-06 04:22:30 -0600 | answered a question | How to create "list<Mat>" in 3.0? I would bring up this question because @berak's answer would compiles but it really should be used with care. For examp |
2017-09-04 13:17:10 -0600 | received badge | ● Nice Answer (source) |
2017-09-02 03:08:56 -0600 | commented answer | NO QUESTION - Suggestions concerning this question & answer area comment test from firefox |
2017-09-02 03:08:27 -0600 | commented answer | NO QUESTION - Suggestions concerning this question & answer area comment test |
2017-09-01 16:49:53 -0600 | marked best answer | [Q&A] Documentation URL in answers ? I'm totally agree with @StevenPuttemans and others in OpenCV 3.0 doxygen documentation still very counter intuitive In the mean time, which URL for the documentation we have to use while answering ? Example for old doc url (very nice and persistent) automatically redirected to 2.4.11 version (redirection is nice too) link to current 3.0.0 Doxygen current 3.0.0 Sphinx Referring to the example:
In any case I would suggest better URL facing... is this possible with Doxygen ? |
2017-08-25 12:32:13 -0600 | answered a question | help finding memory corruption in code that writes to a cv::Mat I would build a cv::Mat over existing data than convert to BGR using Mat::convertTo |
2017-08-11 13:36:16 -0600 | commented question | Destination image size of LinearPolar / LogPolar I don't think this is an issue . btw I agree that it would be useful to have this as feature. Time ago I developed a version that works as you request. Please follow your issue on github to get the code and updates. Bye |
2017-08-03 10:09:12 -0600 | commented answer | Is OpenCV GigE Vision and GenIcam Compatible Sure native API gives more and specific options in special case of non compliant or special camera features. Mostly, native API are written on top of GenICam. It would be great to see the generic programming interface provided by GenICam for all kind of cameras (Eth,USB,Cl,1394,...) available in OpenCV. This would give access to all GenICam compliant cameras without change source code. I currently working with GenICam interface. It look is not so hard to import it in OpenCV...maybe a couple of volunteer are enough :) |
2017-08-03 05:59:49 -0600 | commented answer | Is OpenCV GigE Vision and GenIcam Compatible It would be nice to have a GenICam interface in OpenCV like Halcon and other CV libs have. Maybe any GSOC can be started on this focus in the future. |
2017-07-31 12:13:35 -0600 | commented question | Fail to divide circle into 8 equal parts you need to detect a pizza and draw 8 slices or detect slices in a pizza ? in both cases please provide your code. and remember... cv2.line() can't cut your pizza ;-) |
2017-07-31 11:57:35 -0600 | commented answer | Fill a vector<vector<Mat>> ok, user says matrix will change in a for loop maybe his |
2017-07-31 11:46:42 -0600 | commented question | Fill a vector<vector<Mat>> as berak has well explained your problem is shallow copy. Here I would just suggest a different method to declare your matrix. You might avoid |
2017-07-31 11:27:43 -0600 | commented answer | Fill a vector<vector<Mat>> @berak To underline side effect of shallow copy It's never enough Tank you ! But, are you sure 2nd option is less expensive ? The point here is that new data must be allocated and assigned for each Mat in B. This is the expensive part which happens either with clone or within temp result. In addiction creating new mat header for the temp result introduces useless overhead. For sure using |
2017-07-31 10:47:24 -0600 | commented question | minMaxLoc() always returns values even template doesn't exist in image @StevenPuttemans you are so perfect that I was thinking I lost something :-) |
2017-07-30 02:42:17 -0600 | commented answer | How to capture Video from Firewire Basler scout Camera? or/even search on this forum How to access Basler GigE camera through OpenCV in Ubuntu 14.04 |
2017-07-30 02:12:22 -0600 | commented question | minMaxLoc() always returns values even template doesn't exist in image @StevenPuttemans I'm not so sure. _NORMED versions normalize result respect to lightness and template size. This is completely different from range normalization such as |
2017-07-26 05:54:54 -0600 | commented answer | Logo detection techniques ... but template matching isn't rotation/scale invariant and works bad in case of partial occurrences |
2017-07-26 05:47:49 -0600 | commented answer | Way to filter out False Positives in Template Matching yeah, algorithm can be powerful but sometimes right environment settings can improve reliability and reduce complexity.... at the end vision starts with light path :) |
2017-07-25 09:48:35 -0600 | commented answer | Way to filter out False Positives in Template Matching Template matching is not so good in case of occlusion but ....you really can't take picture with (almost) frontal camera and frontal light/diffuse light/2 or 4 lights from different directions? If you can't, you might try perspective correction (since your working plane is static) even if this can't solve screw occlusion. You might also use 2 camera from opposite direction to catch screw from both sides. I think you should try to control the environment (lights and cam position) |
2017-07-25 06:16:18 -0600 | answered a question | Way to filter out False Positives in Template Matching 1st: It looks you do not clear the score around your match before to locate next match. This is needed because around the highest match you have a lot of quasi max matches due to small translation of the template around best location. For example your 1st match is 0.9, your 2nd best match has score 0.8 but around your 1st match you might have scores like 0.85 that would produces false match. That's why you have to ignore all scores around a match within an area same as your template. You can achieve this drawing a filled rectangle in the score images, centred in the location match, using a "color value" lower out of your threshold (the tutorial should be updated with this). 2nd: Using half or quarter screw is too simple template this would produces a lot of false matches. I suggest to use full screw with a bit of frame around as template. If the screw is '+' type than you can use 2 templates 45deg rotated. But because the screw looks "torks" type you might forget about rotation. |
2017-07-24 09:16:36 -0600 | commented question | Way to filter out False Positives in Template Matching How do you perform template match (method) ? Has your template same size/rotation of finding ? How do you perform multiple matching filtering (do you clean scores around) ? read this is-template-matching-the-best-approach-to-go-about-when-finding-the-exact-image-on-the-screen-multiple-times, Template Matching is wrong with specific Reference image |
2017-07-12 03:03:59 -0600 | commented answer | Is template matching the best approach to go about when finding the "Exact" image on the screen multiple times? If exact match means Template~=Image(ROI) then TM_CCOEFF/TM_CCORR is waste time and resources because of much complex calculations they requires. If exact match means exact location of the template, each method provides the best location. But if Template~Image(ROI), location is not perfect due to image differences. In this cases TM_CCOEFF/TM_CCORR offer better robustness. Finally for multiple match you have NORMED versions provide output in a fixed range -1..0..1. See my answers here http://answers.opencv.org/question/51486 and http://answers.opencv.org/question/63587 |
2017-07-10 04:59:48 -0600 | commented answer | Is template matching the best approach to go about when finding the "Exact" image on the screen multiple times? I think you are able to swithc from Rect/Size pt1/pt2 please check UPDATE3 also for right cleaner value |
2017-07-09 11:24:29 -0600 | edited answer | Is template matching the best approach to go about when finding the "Exact" image on the screen multiple times? if template is present in the image at point P(x,y), templateMatching returns P(x+epsilon,y+epsilon) where epsilon might be 0 or very small if the match is similar. Exact match will returns exact position. BTW if "exact" means T-I=0 you can use a simple slider difference like below UPDATE: Despite of above code works (on 1channel images) it is really inefficient. The way UPDATE2: This should works on Java: UPDATE3: small fix (please be tolerant to syntax error. I don't have a java machine) |
2017-07-09 11:04:35 -0600 | commented answer | Is template matching the best approach to go about when finding the "Exact" image on the screen multiple times?
Check UPDATE2 in my answer |