{"id":5407,"date":"2022-03-10T14:26:55","date_gmt":"2022-03-10T19:26:55","guid":{"rendered":"https:\/\/blogs.mathworks.com\/steve\/?p=5407"},"modified":"2022-03-10T14:26:55","modified_gmt":"2022-03-10T19:26:55","slug":"r2022a","status":"publish","type":"post","link":"https:\/\/blogs.mathworks.com\/steve\/2022\/03\/10\/r2022a\/","title":{"rendered":"R2022a"},"content":{"rendered":"
It's March, and you know what that means --- that's right, the \"a\" release is here!<\/span><\/div>
On most work days, I use several different MATLAB versions, mostly development builds, on 2-3 different computers. But every <\/span>March and September<\/span><\/a>, I look forward to visiting <\/span>mathworks.com\/download<\/span><\/a> to grab and install the latest real thing.<\/span><\/div>
Image Processing Toolbox (<\/span>release notes<\/span><\/a>) has several new deep learning examples, including <\/span>this one<\/span><\/a> about anomaly detection example using pretrained ResNet-18.<\/span><\/div>
\"DetectImageAnomaliesUsingFeatureEmbeddingsExample_01.png\"<\/img><\/div>
Computer Vision Toolbox (<\/span>release notes<\/span><\/a>) added quite a lot in this release. For example, check out the ground truth labeling enhancements, or the YOLO v4 object detector.<\/span><\/div>
\"CreatePretrainedYOLOV4ObjectDetectorExample_01.png\"<\/img><\/div>
MATLAB releases are always hard to summarize because the scope is so big. The <\/span>MATLAB release notes<\/span><\/a> list approximately 130 different enhancements and groups of enhancements, including 22 speedups. (The <\/span>try<\/span> block executes faster, 6x for the documented example, when the block does not error.)<\/span><\/div>
I like to poke around at the seemingly small changes, like the ones where common operations that formerly required several steps have been made easier and more efficient (<\/span>allfinite<\/span>, <\/span>writelines<\/span>).<\/span><\/div>
I am usually especially interested to see what's happening in the MATLAB Math area. As usual, there's a long list, but I'd like to give a shout out to something that MATLAB creator Cleve Moler worked on and <\/span>blogged about<\/span><\/a>: new control over tiebreak behavior in the round function. I provided one of the use cases: the algorithm inside <\/span>poly2mask<\/span> uses a type of rounding that always breaks ties towards +Inf.<\/span><\/div>
Speaking of other MATLAB Central blogs, Ned Gulley <\/span>just posted<\/span><\/a> about a new tool, <\/span>available on the File Exchange<\/span><\/a>, that makes it easy to take a MATLAB live script and publish it to WordPress as a blog post. This is the tool that I regularly use.<\/span><\/div>
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