chengxi (Lannist)

Lannist

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Location:China hangzhou

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chengxi's repositories

CV_Interview

I hope this repo can help you a lot!

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2021_algorithm_intern_information

2021年的算法实习岗位/校招公司信息表,和常见深度学习基础、计算机视觉知识笔记、算法岗面试题答案,及暑期计算机视觉实习面经和总结。

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Awesome-DeepLearning-Tutorials

Links to useful online tutorials etc. about deep learning

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camodocal

CamOdoCal: Automatic Intrinsic and Extrinsic Calibration of a Rig with Multiple Generic Cameras and Odometry

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computer-vision-in-action

《计算机视觉实战演练:算法与应用》中文电子书、源码、读者交流社区(更新中,可以先 star)

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CV_Notes

「3D视觉(三维重建、SLAM、AR/VR) + 传统图像处理 + 计算机视觉(偏AI) 」重要知识点和面试问题。

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deep-learning-for-image-processing

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

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efficientvit

EfficientViT is a new family of vision models for efficient high-resolution vision.

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Face-Detector-1MB-with-landmark

1M人脸检测模型(含关键点)

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FaceRecognizer

人脸识别应用

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handeye_calib_camodocal

Easy to use and accurate hand eye calibration which has been working reliably for years (2016-present) with kinect, kinectv2, rgbd cameras, optical trackers, and several robots including the ur5 and kuka iiwa.

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iAI

保姆级深度学习从入门到放弃,٩◔̯◔۶

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imgclsmob

Sandbox for training deep learning networks

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lite.ai.toolkit

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, YOLOv6, YOLOR, MODNet, YOLOX, YOLOv7, YOLOv5. MNN, NCNN, TNN, ONNXRuntime.

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micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

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MobileSAM

This is the offiicial code for Faster Segment Anything (MobileSAM) project that makes SAM lightweight

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ngp_pl

Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)

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notes

这个仓库记录自己学习的知识笔记,看过的论文的笔记以及一些其他的知识记录

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paper-reading

深度学习经典、新论文逐段精读

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ppq

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

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pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

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pytorch_classification

利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码

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Pytorch_Retinaface

Retinaface get 80.99% in widerface hard val using mobilenet0.25.

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PytorchToCaffe

Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1 , 1.2 ,1.3 .notice that only pytorch 1.1 have some bugs

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SummaryOfLoanSuspension

全国各省市停贷通知汇总

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survey-computer-vision-2020

2020-2021年计算机视觉综述论文分方向整理

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TNN

TNN:由腾讯优图实验室打造,移动端高性能、轻量级推理框架,同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化,同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地,欢迎大家参与协同共建,促进TNN推理框架进一步完善。

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tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

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yolov5-comment

yolov5的注释版本

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