A set of various image processing algorithms implemented using OpenCV libraries and MATLAB image processing toolbox
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Updated
May 4, 2017 - C++
A set of various image processing algorithms implemented using OpenCV libraries and MATLAB image processing toolbox
Implementation of a subset of CBP of h.264 encoder
Testing methods for dequantization of RGBD data
Image compression using vector quantization
Some codes used for the numerical examples proposed in https://hal.archives-ouvertes.fr/hal-01514987v2 and https://arxiv.org/abs/1705.01446
TensorFlow 1.14 fork with Quantization Enhanced!
Int8 quantization in Openvino
Projekt na zajęcia z Transmisji Danych WI ZUT 2020
JPEG compression algorithm with chroma subsampling 4:2:0, 2D DCT and 2D IDCT transformations, and quantization of DCT coefficients.
arm compute library implementation of efficient low precision neural network
CallNode is not considered in TVM QNN concatenate operator
FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch
Project written in C++ on basic simulations of eigenstates of the Hamiltonian in the One Dimensional Schrödinger Equation for common potential functions
Modified inference engine for quantized convolution using product quantization
Autoencoder based image compression: can the learning be quantization independent? https://arxiv.org/abs/1802.09371
Find dominant colors in images with QT and OpenCV, with a nice GUI to show results in 3D color spaces: RGB, HSV, HSL, HWB, CIE XYZ and L*A*B, and the recent OKLAB! Export results to images, .CSV files and palettes for popular software like Photoshop, Paintshop Pro and Corel Draw. Visualize Cube LUTs!
Model Quantization with Pytorch, Tensorflow & Larq
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