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2020-10-11 00:03:57 -0600 | marked best answer | What data type OpenCV supports to display a picture ? Let's read an RGB image using OpenCV (Python): When I run: print Question: Does this mean that |
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2016-03-26 19:23:41 -0600 | marked best answer | Unable to detect black pixels ? I am reading a picture to color in red all its black pixels (the background only is black): Here is the image second.png: Here is the colored image result.png: Why not all the yellow rose is not colored in red ? Note when I print those pixels that are not colored (in red in result.png) in second.png I see they are not black. Why this ? |
2016-03-22 10:17:04 -0600 | marked best answer | image segmentation I wonder if there are algorithms used to segment images efficiently. The ones I tested by now can not segment hair correctly as on this image: I just want to know if someone can give me some efficient algorithms to segment the hair on this image for example without cutting it and so on (correct segmentation) Note that I tested famous algorithms such as watershed, grabcut, mean shift ... but no one of them segments this hair correctly. Thank you very much in advance. |
2016-02-28 12:21:47 -0600 | commented question | imread: readable max size Thank you for the effort. I will need to dive deeper into the hints you gave me |
2016-02-28 11:25:27 -0600 | commented question | imread: readable max size Thank you, but I did before asking. It does not answer this question though. |
2016-02-28 09:30:12 -0600 | marked best answer | inverting the background and object colors I read in documentation that:
In my case, all the images I am dealing with are colorful but their background is always white. Is there any solution in OpenCV to make the background of these images black and the objects white in order to apply |
2016-02-28 09:20:10 -0600 | asked a question | imread: readable max size What is the maximum image size that OpenCV can read when using: P.S. Suppose I have enough RAM |
2016-01-25 06:28:18 -0600 | received badge | ● Popular Question (source) |
2015-07-17 17:36:47 -0600 | marked best answer | draw with mouse continuously I am trying to draw following the movements of the mouse. It works ok. When I move the mouse slowly, what is drawn looks continuous, but when I speed a little bit the mouse movement, I get discontinuous drawings. How can I draw with the mouse continusouly ? |
2015-05-27 08:54:21 -0600 | asked a question | Haar detector features: where to find them ? From here we can read:
Question: Where can I find the list of those features ? or may be someone can list me some of them ? I'm curious to know what they are about. Begueradj |
2015-05-26 03:34:59 -0600 | asked a question | (-215) scaleFactor > 1 && image.depth() == CV_8U in function detectMultiScale I run the code below taken from documentation: But I got this error message: How can I resolve this problem ? Thank you very much in advance. |
2015-05-22 06:33:21 -0600 | commented question | OpenCV vs OpenBR @thdrksdfthmn thank you very much for your concern. But I just wonder if OpenBR does not share most of its algorithms inherent to face stuff with OpenCV ? |
2015-05-22 02:44:23 -0600 | commented question | OpenCV vs OpenBR @thdrksdfthmn do you mean that OpenBR is faster and more efficient than OpenCV in different facial detection ? |
2015-05-19 04:19:15 -0600 | asked a question | OpenCV vs OpenBR Is openCV more performant than openBR when it comes to gender,age and face detections? Begueradj |
2015-05-18 02:56:11 -0600 | asked a question | Unable to stop the stream: Bad file descriptor This is the first time I try to prone this aspect of OpenCV: camera and video capture. So logically, there is nothing to do in the start other than trying to run and unerstand the basic examples such as this one which is the first to be published on the OpenCV official documentation. I just did a copy/past to test1.py file and run it to get this error message: May be someone could clarify to me why this happened and how to resolve it ? Thank you very much in advance. |
2015-04-25 05:27:33 -0600 | marked best answer | OpenCV: BGR to YUV conversion Is there a way to convert an image from BGR to YUV color space ? |
2015-04-20 01:35:11 -0600 | commented question | wrong image slicing @StevenPuttemans yes, you were right. Thank you very much |
2015-04-14 07:14:00 -0600 | commented question | wrong image slicing @StevenPuttemans But why the original image is displaying without the aliasing problem then unlike the other 4 blocks ? |
2015-04-14 03:33:26 -0600 | asked a question | wrong image slicing I want to divide a picture into 4 blocks of the same size. Here is my code: Here are the results: My problem: As you can see, there is aliasing effect that can clearly be seen in the 4 blocks unlike in the original image. This means the image slicing into 4 blocks is not enough good. Someone could tell me what's wrong and how to correct ? Thank you in advance |
2015-04-14 02:45:09 -0600 | commented question | Display images larger than screen resolution: scrollbar window ? I know there is no such scrollbar in OpenCV windows, I just wonder if there is a possibility to modify its source code and where to have this behavior. My application will be a mess if I want to display images in a given library and process them in an other one. |
2015-04-13 09:04:25 -0600 | commented question | how to display 2 images in one ? @Guanta thank you very much. Your idea works fine |
2015-04-13 08:54:02 -0600 | commented question | how to display 2 images in one ? @thdrksdfthmn I tried but the push_back does not exist in Python/numpy |
2015-04-13 08:51:39 -0600 | commented question | how to display 2 images in one ? @thdrksdfthmn thank you. In fact I have 4 blocks of the same image, all of them with the same size. Can I use push_back in this case too ? |