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科学与工程计算方法大作业，利用线性方程组的数值解，估计相机的运动

-zhi

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

360surround

360环视相机校正-去畸变-俯视变换-图像拼接-图像融合

adas-moving-object-detection

it's a tool to find out the moving object in dynamic background (especially while car driving) based on OpenCV and VS2013.

anime-sketch-coloring-with-swish-gated-residual-unet

Implementation of paper which uses a swish-gated residual U-net to color line-art anime drawings

automatic_headpose_labeling

FSA-Net and Hopenet Ensemble Labeling for Head Pose

awesome-data-labeling

A curated list of awesome data labeling tools

basicsr

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. Also support StyleGAN2, DFDNet.

bevformer_tensorrt

BEVFormer inference on TensorRT, including INT8 Quantization and Custom TensorRT Plugins (float/half/half2/int8).

camera_calibration_tool

OpenCV-Python 相机标定及矫正，张正友相机标定法

cameracalibration

Fisheye or Normal Camera Intrinsic and Extrinsic Calibration. Surround Camera Bird Eye View Generator.

cmake-examples

Useful CMake Examples

component-divide-and-conquer-for-real-world-image-super-resolution

count-map-txt

这个是一个在SSD的基础上用于生成绘制mAP代码所用的txt的例子。（目的是生成txt）

cppcoreguidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

cuda_freshman

cv-papers

计算机视觉相关论文整理、记录、分享; 包括图像分类、目标检测、视觉跟踪/目标跟踪、人脸识别/人脸验证、OCR/场景文本检测及识别等领域。欢迎加星,欢迎指正错误,同时也期待能够共同参与！！! 持续更新中... ...

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-learning-papers-translation

深度学习论文翻译，包括分类论文，检测论文等

deep_head_pose

deep_head_pose in pytorch

deeplearningexamples

Deep Learning Examples

deepsort

support deepsort and bytetrack MOT(Multi-object tracking) using yolov5 with C++

deepsort-rfbnet

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

drn

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

efficientnet-pytorch

A PyTorch implementation of EfficientNet

esrgan

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

face-frontalization

This is a port of the Face Frontalization code provided by Hassner et al. at http://www.openu.ac.il/home/hassner/projects/frontalize

face-pose-net

Estimate 3D face pose (6DoF) or 11 parameters of 3x4 projection matrix by a Convolutional Neural Network

face3d

Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.