Graphics and Media

This space represents the passionate and talented work from developers, digital artists, designers, media technicians, and creator enthusiasts crafting inspirational work processed through one or more Intel technologies.

Intel Movidius Neural Compute Stick(NCS) with Raspberry Pi-3 for Image Classification

URL: https://github.com/akhilaku/Image-Classifier-using-Intel-Movidius-NCS-

Description:

For developing Deep Learning(DL) interference applications at the edge, we can use Intel's energy-efficient and low-cost Movidius USB stick. In this project we are going to use Intel Movidius Neural Compute USB stick with Raspberry Pi-3 for image classification application.

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Intel® Open Image Denoise in Blender - GDC 2020

URL: https://openimagedenoise.github.io

Description:

Overview and demonstration of Intel® Open Image Denoise in Blender 2.82. This demo explains denoising for ray tracing and provides step by step example using the Intel® Open Image Denoise in Blender 2.82. The Intel® Open Image Denoise library, part of the Intel® oneAPI rendering toolkit

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SVT-AV1 GUI

URL: https://github.com/moisespr123/SVT-AV1-GUI

Description:

SVT-AV1 GUI is a Windows Graphical User Interface for the SVT-AV1 video encoder. It allows the user to encode videos regardless of the format to the new AV1 codec. Users can use the GUI elements to control the encoder parameters, or they can use custom arguments in the arguments field.

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Monaural Audio Source Separation using Wave-U-Net & Deep Convolutional Neural Networks

URL: https://github.com/frizzid07/Wave-U-Net

Description:

The project aims to develop a system capable of analysing a mastered album track and discern the various audio sources in it. Audio from disparate sources will be separated and provided as outputs individually. It uses Wave-U-Net technology with underlying Deep CNNs to operate on MUSDB song dataset.

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High-quality YouTube video streaming at a lower (internet) data-rate.

URL: https://github.com/Debapriya-Tula/AdaConv-Pytorch

Description:

We want to watch youtube videos at high resolution, but not at the cost of losing a lot of our data quota for the day. What if we could reduce the number of frames per sec Youtube sends and reconstruct the scene. Do go through this paper by Niklaus et. al. https://arxiv.org/abs/1708.01692.

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Courier, Express and Parcel Delivery VR Trainer

URL: https://www.youtube.com/watch?v=zrDwhTXas-Y

Description:

Courier, Express and Parcel Delivery VR Trainer is a VR Training environment that showcases an intelligent cargo space via computer vision and AI like the Mercedes-Benz Vans CoROS which automates labor-intensive processes throughout the last mile and tracks cargo from distribution hub to doorstep.

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