9 skills found
JingyunLiang / FKPOfficial PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)
assafshocher / BlindSR Dataset GeneratorDownscale a set of images by randomly created kernels and save them
sunreef / BlindSRIndependent implementation of the algorithm from the paper "Blind Image Super-Resolution with Spatially Variant Degradations"
XPixelGroup / CloserLookBlindSRPaper accepted by CVPR Workshop, NTIRE 2022
prote376 / DBPI BlindSRDual Back-Projection-Based Internal Learning for Blind Super-Resolution
hanlinwu / BlindSRSNFConditional Stochastic Normalizing Flows for Blind Super-Resolution of Remote Sensing Images
NirDiamant / Blind SR Michaeli Iraniimplementation of the paper Nonparametric Blind Super-Resolution
vivian210223 / Arbitrary Scale Blind SRBest of Both Worlds: Learning Arbitrary-scale Blind Super-Resolution via Dual Degradation Representations and Cycle-Consistency (WACV 2024)
DivSaru / AlohomoraALOHOMORA is a vision-based blind stick. It aims at providing the visually impaired people with an easyand handy object identification and navigation system. The model that we will be using for objectidentification has been trained on the images of famous objects/obstacles that can be encountered by a visually impaired person in everyday life. This information will act as the basis for the results given to the user. Also, the distance to the object/obstacle will be calculated using a sensor and accordingly theinformation will be used to inform the person about the range or distance at which the object is.Furthermore, the system needs a continuous power supply to for its operation. The program on themini-computer should always be running in order to provide satisfying results to the visually impaired person. There is more more to come in project ,until wait Technologies used- 1.SOFTWARE - Operating System - Ubuntu 16.04,NOOBS 2.1.0 (Raspbian Pixel) Language - Python3 Machine Learning Libraries - Tensorflow 0.12.0,0.12.0, Inception v3 2.HARDWARE- Raspberry Pi model 3B, Ultrasonic Sensor HC SR-04, Passive Speaker Buzzer
