erickingxu / Metalimage
Licence: mit
MetalImage is more faster and powerful than opengles for iOS. It is very similar to GPUImage framework, but perform a better 3D rendering and multithreads computing abilities.
Stars: ✭ 207
Projects that are alternatives of or similar to Metalimage
Metalpetal
A GPU accelerated image and video processing framework built on Metal.
Stars: ✭ 907 (+338.16%)
Mutual labels: metal, video-processing
Ios 10 Sampler
Code examples for new APIs of iOS 10.
Stars: ✭ 3,341 (+1514.01%)
Mutual labels: metal, convolutional-neural-networks
Anime4k
A High-Quality Real Time Upscaler for Anime Video
Stars: ✭ 14,083 (+6703.38%)
Mutual labels: convolutional-neural-networks, video-processing
Abnormal event detection
Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder
Stars: ✭ 139 (-32.85%)
Mutual labels: convolutional-neural-networks, video-processing
Metalvideoprocess
MetalVideoProcess is a High-Performance video effects processing framework. It's base on GPUImage3 Metal, support asynchronous and multithread processing.
Stars: ✭ 52 (-74.88%)
Mutual labels: metal, video-processing
VideoLab
High-performance and flexible video editing and effects framework, based on AVFoundation and Metal.
Stars: ✭ 663 (+220.29%)
Mutual labels: metal, video-processing
Keras Video Classifier
Keras implementation of video classifier
Stars: ✭ 100 (-51.69%)
Mutual labels: convolutional-neural-networks, video-processing
Bender
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
Stars: ✭ 1,728 (+734.78%)
Mutual labels: metal, convolutional-neural-networks
Iseebetter
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
Stars: ✭ 202 (-2.42%)
Mutual labels: convolutional-neural-networks, video-processing
Stereokit
An easy-to-use mixed reality library for building HoloLens and VR applications with C# and OpenXR!
Stars: ✭ 195 (-5.8%)
Mutual labels: ar
Miscnn
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Stars: ✭ 194 (-6.28%)
Mutual labels: convolutional-neural-networks
Ags
Learning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)
Stars: ✭ 202 (-2.42%)
Mutual labels: video-processing
Deep Mri Reconstruction
Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo
Stars: ✭ 204 (-1.45%)
Mutual labels: convolutional-neural-networks
Opencast
The free and open source solution for automated video capture and distribution at scale.
Stars: ✭ 194 (-6.28%)
Mutual labels: video-processing
Image To 3d Bbox
Build a CNN network to predict 3D bounding box of car from 2D image.
Stars: ✭ 200 (-3.38%)
Mutual labels: convolutional-neural-networks
Untoldengine
An easy to use, Open-Source, 3D game engine for iOS/macOS game development.
Stars: ✭ 193 (-6.76%)
Mutual labels: metal
Keras English Resume Parser And Analyzer
keras project that parses and analyze english resumes
Stars: ✭ 192 (-7.25%)
Mutual labels: convolutional-neural-networks
Person Detection And Tracking
A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking
Stars: ✭ 193 (-6.76%)
Mutual labels: convolutional-neural-networks
Caffe Deepbinarycode
Supervised Semantics-preserving Deep Hashing (TPAMI18)
Stars: ✭ 206 (-0.48%)
Mutual labels: convolutional-neural-networks
MetalImage
-
A GPU-Processing Library for Images, Videos in iOS.
-
Author: Ericking Xu
-
Email : [email protected]
Overview
MetalImage is a better way for using GPU to process images and videos in iOS, and later will support Mac OSX. So I try my best to do some intresting algorithms with Metal,like intelligent beauty, 2d face-change, 3D-Animation rendering. I had completed some simple works and demos for processing images and videos with MetalImage.I try to make this framework be similar to famous "GPUImage" in function, and on other hand, it supported custom filter for some trouble-speed neckbottle caused by huge filters chain. So if you are familar to GPUImage, you will find it is very easy to use in MetalImage. And some thankfulness for Brad Larson,as he gave me some tips ever. Today,I decided to share my works with a memorable date of birth of my daughter,and I will update this library in future.
Workflow
- 1).Some 3D interfaces will be added for easy using metal draw CG effects.
- 2).Some face detections interface will be provided with this library, maybe need some days(almost work)
- 3).Some optimizations will be updated.
To-do list in future
- add 3d model viewer and loader
- update other beauty algorithm
License
MIT-style, with the full license available with the framework in License.txt. But if you use it, please give me a email for User List.
User List
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].