I need some help in generating a map.
Instead of taking one hundred screenshots of areas and trying to perfectly combine them in photoshop, I wonder if there is a script/software that can export me a big whole area with the same level of detail as I zoom-in. I assume it will be a ~50,000x50,000px image but i really don't mind.
The only thing I really tried is to take multiple screenshots and combine them but I need to work on a big canvas, program crashes or sometimes the whole project is messing up when arranging.
Related
I'm asking a question for a school project. I am trying to play a video in a loop and change its speed according to the distance from the Kinect 1414. When you are far the video plays at normal speed, which then increases as you get closer.
I tried in different ways but sometimes either the video doesn't loop or it doesn't show, I can only hear the audio. Other solutions don't let me change the speed of the video. Do you know any way to have the distance of a person affect the video?
Thanks.
Stack Overflow isn't designed for general "how do I do this" type questions like this. It's for specific "I tried X, expected Y, but got Z instead" type questions. But I'll try to help in a general sense.
You need to break your problem down into smaller pieces and then take on those pieces one at a time. For example, can you start with a very basic sketch that just displays the distance from the Kinect? Don't worry about the video yet, just display the distance on the screen.
Separately from that, can you create another sketch that just shows a video playing in a loop? Work your way up from there: can you make it so its speed is based on a hard-coded value? How about on a value like mouseX?
Get those two basic sketches working perfectly by themselves before you start thinking about combining them. Then if you get stuck on one of those steps, you can post a MCVE along with a specific question (in a new question post), and we'll go from there. Good luck.
I am working on a project (Collectable Card Game) that has me accessing several cards at once. Essentially,think solitaire. Where a lot of cards are on the stage at once, and you flip them over to reveal them. --- The catch is each card can be re-flipped and display a different card from the availableCards array.
Initially I would create a single object that held a different card in each frame. This works fine, but seems highly impractical due to so many objects on the stage, all of them holding every single frame... in other words, each card would be a full deck.
I restarted and decided to go with each card is it's own object. So I stopped because before I get going again, I wonder if there is an even better way?
Do I create one hundred cards in Flash and store their names in an array?
Can I create a single card, and somehow get a card image from a clip with one hundred frames?
If there is a way to have all the card images in a single object it would be easier to work with in Flash, but would that mean the whole object would have to be used just to show a single frame?
Thanks in advance everyone!
I want to get the connected component from an image with each components boundary pixels information,How can I use cvBlob library for the same..!!!
Though I have used cvFindContours forthis But I am not getting the desired result.
Thanks,
[This may help someone having similar problem]
If you provided a picture, you would have got the guidance on your problem. It's extremely hard to imagine what kind of picture you got.
The function findContours() may be finding all contours in your image, including those you do not need. You can always filter out certain contours as being too small, or too large. :)
I would like to compare two mp4 files, does somebody has an idea?
Maybe by interposing the video spectrum?
Thanks.
I had an idea for this a while back. I never implemented it, but it went something like this:
Get a good video library to do the heavy lifting for you, I like Aforge.NET
Use the library to walk through the video and extract bitmap frames, get a few hundred
Fix the resolution to a single aspect ratio
Reduce the images to something low-res like 16x16 or 64x64, using a nearest neighbor approach. This will blur the image such that two similar images will reduce to the same
Gather a chunk of these images by relative video timestamp and hash them to further reduce the data
Compare said hashes
Again, I never implemented this, so I don't know if it works, but the thing it has going for it is that video is very complex. While comparing any given frame to another won't work, based on different formats, resolutions, etc., the odds of a series of reduced hashes being the same from two different videos seems very low. Thus, few false positives. Also it seems like it could also tell you if one span of video was contained in another.
If I get around to making something like this I'll circle back here and post about it.
I am working for a project at school regarding face detection, based on a technique described by Viola and Jones 2001/2004.
I've read that the OpenCV has an implementation of this algorithm, and it works very good.
I was wondering if you have any advices regarding what techniques (pre-processing) to apply to the images before testing the existence of a face (eg. histogram equalization) ?
I basically used the code from this sample program from the OpenCV page and it worked very well for my masters thesis project. If you get bad results or your lighting is strange you can try a histogram equalization.
with a friend I did something similar too for an university project, and especially on low resolution video sequences it really helped to upsample the frame, doubling its size. It was my friends' idea, who had previously taken an image processing class. Although equivalent, things like decreasing initial scan window size, horizontal and vertical steps didn't produce the same result. In other words it may be better to work on larger images with larger scan windows than on smaller with smaller scan windows. Don't know exactly why.
Bye ;-)
I know its too late. But do go through this site as well.
It speaks of the common pre-proccessing required for the images. Equalising the image, Editing irrelevant content etc