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metal-camera-metal-video-metal-image
write ios metal texture into video video in swiftiOSOpengGL_Shaders
OpenGL is a very useful tools for iOS graphics and they provides more control over Texture through this tool. But it was and is always and hardest things for me to get. I studied and gathers lots of broken nodes to tie things up. Now I am able to play with OpenGL and I am creating this repository to help some one who is fade-up with OpenGLES 2.0 like mine.MultipleTexture_iOS_OpenGL
This project is used to upload 3 images as texture in OpengGLES 2.0. two jpg image and one PNG image as masked. Second image is drawn over first image and top image is masked using another PNG image. PNG image conatins transparency in which top image is shown. But mask image color is erased and background image visible there.breathe
Calm and Relaxing Appcolor_name_finder_ios_swift
Color picker from iOS camera, Color range finder, Color difference , Color Checkerdlib_ios_face_recognition
this repository contains sample code for face recognition system using Dlib in iOS deviceLandmark_Annotation
Shape prediction using DLib depends on face rectangle. DLib supports wide range of face rect. This tool finds the both minimum and maximum rectangle of the human face. Rectangles are changed using +/- Button from User Interface and then face is predicted using dlib. Center of the rect could be moved by mouse click. Image can be captured after drawing landmarks and face rectangle over image.DLibToolLandmarkTraining
This Face Landmark updating tool is built in OS X using objective-c. It can parse Train.xml and open in GUI for updating landmark from http://dlib.net open source library. Those who are trying to predict shape in Human face can use this tool to edit input data set. Too learn more see Dlib face prediction.AVFoundation_VideoComposition
AVFoundation AVMutableComposition example of merging into one video. One video is overlay another one with both opacity 0.5, the output video duration will be longer duration in input videosGoogleAdMob
This repository contains all possible add category. Ad categories such as GADBannerView, GADInterstitial, GADNativeContentAdView, GADNativeExpressAdView, GADRewardBasedVideoAd ar implemented and tested. This projects are downloaed from "https://github.com/googleads/googleads-mobile-android-examples"dog_breed
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