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zhnguo's Projects

awesome-face_recognition icon awesome-face_recognition

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

backgroundsplit-opencv icon backgroundsplit-opencv

This repository is the C++ Source Code of several algorithms of Extracting Background, which are based on OpenCV libraries after I learn about the theory of these algorithms(including Frame-Difference, Gauss-Background-Difference, ViBe algorithms).

brevitas icon brevitas

Brevitas: quantization-aware training in PyTorch

cocoapi icon cocoapi

COCO API - Dataset @ http://cocodataset.org/

computervision icon computervision

Measurement system project using computer vision techniques with OpenCV

corner-sort icon corner-sort

Corner Sort for Pareto-Based Many-Objective Optimization

cpu-connected-component-labelling icon cpu-connected-component-labelling

This is a fast custom algorithm having O(n) linear time & O(n) memory complexity implemented on the CPU for solving the famous connected component labelling problem. The algorithm implemented here, takes the image and the label of the connected region and spits out the number of such regions in the image.

csv icon csv

[DEPRECATED] See https://github.com/p-ranav/csv2

csv2 icon csv2

Fast CSV parser and writer for Modern C++

depth-from-focus icon depth-from-focus

Capture a sequence of images with different focus settings, use these images to find the depth for each pixel in the scene, and then use this depth map to estimate an all-in focus image

depth_from_focus icon depth_from_focus

Conventional Depth from Focus(DfF) estimation with slight focus variations in image sequences

detr-pytorch icon detr-pytorch

这是一个DETR-pytorch的仓库,可以训练自己的数据集

face_recognition icon face_recognition

The world's simplest facial recognition api for Python and the command line

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