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.
URL: https://github.com/aaaven/PyTorch2OpenVINO
All credits go to INTEL AI Academy support team. Special thanks go to Ellick Chan and Huiyan Cao. This is a short tutorial shows how to port pre-trained PyTorch model to INTEL OpenVINO model. In short, the pre-trained PyTorch model got converted to ONNX format and then optimised by OpenVINO model optimiser.
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URL: https://github.com/aaaven/ShanshuiDaDA_openVINO
"ShanshuiDaDA" is an interactive installation powered by machine learning model - CycleGAN and trained with custom data. At the very beginning, ShanshuiDaDA was trained with cycleGAN official PyTorch implementation on custom sketch2shanshui data set. In this project, we port it to openVINO as an experiment and run for AI on PC Early Innovation!
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URL: https://github.com/thecodefoundation/vison
Vison enables quick search through images, audio and video using multimedia itself.
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URL: https://github.com/xprilion/distpano
The creation of high-resolution panorama has been a problem to which people have sought a solution to for long. There have been several open and proprietary software which can create panoramas from images, but none yet has taken the benefits of distributed or cloud computing. In this project, the attempt to use Distributed public compute nodes has been done, using the underlying concept of BOINC. The images provided by ISRO are joined together over several compute nodes which brings down th...
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URL: https://github.com/pranabsarkar/English-to-German-Translator-using-seq2seq-model
Machine translation is the task of automatically converting source text in one language to text in another language. According to research firm Common Sense Advisory, 72.1 percent of the consumers spend most or all of their time on sites in their own language, 72.4 percent say they would be more likely to buy a product with information in their own language and 56.2 percent say that the ability to obtain information in their own language is more important than price. These are just a few of ...
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URL: https://editor.p5js.org/soumiksarkhel97@gmail.com/sketches/4kVZT5zXu
Generation of Square Wave using Odd Harmonics of Sine Wave and it's visualisation.
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URL: https://github.com/FastLED/FastLED
A custom designed and custom engineered LED mask using addressable LEDs. This was one of the most complex system that i've got to develop. 3600 Leds divided in 16 Array's each one is feed data using parallel outputs from a SAM3X micro and the graphics is generated using a UPBoard.
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URL: https://github.com/fadhilfaisal/OBD_BEHAVIOUR_CAR
A smart and innovative method to analyse a driver's behaviour on the road based on real data acquired from the vehicle and camera input based on Facial feature mapping and OBD data models.
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URL: https://github.com/phananh1010/PanoSalNet
360-degree video saliency dataset
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URL: https://github.com/prateeksawhney97/Traffic-Sign-Classifier-Project-P3
German Traffic Sign Classification Project for Self-Driving Car Nano Degree Term 1. A CNN is designed and trained to detect the traffic signs using the German Traffic Sign Dataset. The system is also tested on German traffic signs to measure its performance.
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URL: https://github.com/prateeksawhney97/Advanced-Lane-Finding-P2
Advanced Lane Detection Project which includes advanced image processing to detect lanes irrespective of the road texture, brightness, contrast, curves etc. Used Image warping and sliding window approach to find and plot the lane lines. Also determined the real curvature of the lane and vehicle position with respect to center.
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URL: https://github.com/rajatkb/Deep-Super-Resolution-Research
For this project my research focus was on Image SuperResolution using Deep Learning. Most of my work involved exploring existing solutions and analysing and study their approach. The work was concluded with a Progressive Upsacalling methods using RDNSR with VGG Perceptual Loss for generating high resolution images. The Progressive upscalling can upscale to very high resolution given the RDNSR base network.
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URL: http://www.fredivoss.de/Voss.zip
This project is one of my non-commercial art works. Besides the detailing, some new features of Cinema 4 D from Maxon computer in the texturing area came into relevance here.
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URL: https://github.com/abhi1345/stocksify
Web application for predicting stock prices.
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URL: https://devpost.com/software/policy-pal
Me and fellow Innovator Peter Ma along with our team (Cindi, Ben and Brian) WON the grand prize for the Verizon 5G Challenge in the Capitol 360 Hackathon in December 2018! An AR application for bringing the concert experience into your home using volumetric captured video content.
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URL: https://github.com/ravish1729/Digital-Image-Processing
An open source repository explaining the basics of image processing without using methods from frameworks.
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URL: https://github.com/prajjwal1/super_resolution
Restoration of Image Quality
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URL: https://github.com/nhadiq97/AIROBOT
An AI Powered Humanoid robot with gesture, image, vocal recognition and interactive communication systems alongside individual identifications and repetitive analysis completely offline. Such that it can work on its own using self hardware and pretrained neural modules.
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URL: https://github.com/rynmurdock/CPPN-WGAN-GP
A deep generative adversarial network with Wasserstein loss that utilizes a compositional pattern producing network to generate color images of high resolution..
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URL: https://github.com/dimakan/ai-art-mirror
The project intent is to demonstrate Deep Learning usage for the Art by applying neural network style transfer on live video stream. This will make personal experience of users with art.
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