However, the biggest problem with OpenCV’s dnn module was a lack of NVIDIA GPU/CUDA support - using these models you could not easily use a GPU to improve the frames per second (FPS) processing rate of your pipeline.
In this tutorial, you will learn how to use OpenCV’s “Deep Neural Network” (DNN) module with NVIDIA GPUs, CUDA, and cuDNN for 211-1549% faster inference.īack in August 2017, I published my first tutorial on using OpenCV’s “deep neural network” (DNN) module for image classification.
So go to File > Project Structure > Dependencies in All Dependencies folder click on the + icon then add the module dependency.Click here to download the source code to this post.Now you have to modify the project structure also.
In this case download location was This PC > downloads. So open the location where you extracted the OpenCV library so go to that location. Now click on Import-Module as you will see a dialog box like below:.After creating a new project go to File > New > Import-Module.Now open Android Studio and create a new project.After downloading the android package with the version same as with your android studio you have to extract the zip folder to your desired location.Just click on the android option there and you will be redirected to the page where the download will start automatically.Here download the android package you will see the android package option there as shown in the image below:.You need to download the same version of OpenCV as your android studio version. First of all, go to the official website of OpenCV i.e here you will see various releases with the version name mention above it.Here are the steps required to perform in the same way to add OpenCV library: CUDA acceleration (GPU) Steps Required to Add OpenCV library into Android Application.Machine learning & clustering (ml, flann).Computational photography (photo, video, superres).Geometry-based monocular or stereo computer vision (calib3d, stitching, videostab).Object/feature detection (objdetect, features2d, nonfree).Image/video I/O, processing, display (core, imgproc, highgui).Video/image search and retrieval OpenCV Functionalities.Anomaly (defect) detection in the manufacturing process (the odd defective products).Vehicle counting on highways along with their speeds.number of people – count (foot traffic in a mall, etc).There are lots of applications that are solved using OpenCV, some of them are listed below How to Change the Background Color of Button in Android using ColorStateList?Ĭlick here to head to a guide uniquely curated by our experts with the aim to make you industry ready in no time! Applications of OpenCV.
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