![]() ![]() What's clear to us now, however, is that there's an even larger opportunity to support sports fans in the sports betting space." The platform has been launched as a web app, with a native iOS application to be released in the coming months.ĭescribing the platform, the company said that Outlier is "a first-of-its-kind sports betting platform where bettors can place smarter sports bets efficiently and confidently." The platform allows users to leverage historic performance stats, analyze relevant trends and insights, track line movement, compare odds across the major sportsbooks, and seamlessly execute their picks on FanDuel, DraftKings, BetMGM, or Caesars "in just two clicks."Ĭo-Founder and CEO Evan Kirkham stated: "We started Colorcast with the intention of helping sports fans engage more deeply with the teams and the sports they love. ![]() Assuming you have somehow gathered your pixel data into an array of type Color.Austin-based fan engagement company Colorcast has launched a new sports betting platform and officially rebranded as Outlier, the firm announced Thursday. I put it in a form but you can use it in a console application too.Ĭreate a histogram, auto-generate corrected levels (max, min and gamma), apply the levels to the image. CvtColor(ycrcb, result, ColorConversion.YCrCb2Bgr) IplImage result = new IplImage(inputImage.Size, IplDepth.U8, inputImage.Channels) IplImage Cb = new IplImage(ycrcb.Size, IplDepth.U8, 1) IplImage Cr = new IplImage(ycrcb.Size, IplDepth.U8, 1) IplImage Y = new IplImage(ycrcb.Size, IplDepth.U8, 1) CvtColor(inputImage, ycrcb, ColorConversion.Bgr2YCrCb) IplImage ycrcb = new IplImage(inputImage.Size, inputImage.Depth, inputImage.Channels) IplImage equalizeIntensity(IplImage inputImage) IplImage imgDest = equalizeIntensity(img) NamedWindow windowsModified = new NamedWindow("Modified") NamedWindow windowsOriginal = new NamedWindow("Original") Just add the binary from openCV in your output directory (debug folder) and you are up and running! To code this, I have use the new OpenCV NuGet package, that you can get here. You can then search for these topic in openCV on google and try different approach. I choose to show you how to code a very simple algorithm that will not completely re-create the "perfect" picture that you get with photoshop but something better than the original. ![]() When researching to find a solution for your problem, I realized that the problem of "color balance could be solved with a lot of different way. You can use OpenCV to develop an algorithm that will fit your needs. There is also white balance function in the source code of The lower-left example in the first set of color balanced images look very much like your source image. I think an approach which uses the temperature would be better than one that is just normalizing levels, because what if you are shooting the sky or ocean, and it should be blue? You just want to make sure it is the right blue.Įdit: For specific C# code, you might check here. Here is an imagemagick script which can batch process color temperature on a bunch of images. This looks like a web cam plugged into your computer? So it is probably a moving target, meaning that the WB is being re-evaluated each time it takes a pic, and you may not be able to apply the same correction to each image. Even simple cameras (but maybe not mobile phones) have controls on white balance, for future shots. Are you talking about preventing this in the future, or batch processing a bunch of existing images. ![]() GIMP has a color temperature slider that will change the cast of the pictures. This looks like the White Balance is set for indoors (expecting reddish light) but getting daylight (blue). ![]()
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