Pinned Repositories
3d-photo-inpainting
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
3dgan-release
3D Generative Adversarial Network
AdaptiveIntegralThresholding
Adaptive Thresholding Using the Integral Image
code
Code for the book "Mastering OpenCV with Practical Computer Vision Projects" by Packt Publishing 2012.
mpc-hc
MPC-HC's main repository. For support use our Trac: https://trac.mpc-hc.org/
opencv
Open Source Computer Vision Library
pyannote-video
QRibbon
Qt 实现的 Ribbon 风格菜单栏，基本思路是定制QTabWidget，通过QSS（样式表）实现显示样式的调整，QRibbon的原则是尽量不侵入正常业务逻辑的开发，所以在开发基于QMainWindow的程序时，可以按照正常的开发流程创建界面，创建普通的菜单栏以及菜单项及其信号槽关联，最后调用QRibbon::install(&mainWindow)函数即可自动创建出与QMainWindow原有QMenuBar相对应的Ribbon...
turi-create-playground
Turi Create's sample codes
viewer
ML models and internal tensors 3D visualizer
23119841's Repositories
23119841/viewer
ML models and internal tensors 3D visualizer
23119841/AngleCorrection_Unet
Network training code
23119841/centermask2
CenterMask : Real-time Anchor-Free Instance Segmentation, in CVPR 2020
23119841/cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
23119841/Defocus_train
23119841/EasyCV
An all-in-one toolkit for computer vision
23119841/FeatureMap_Visualize_Pytorch
:eyes:Feature-map visualized, Implementation in Pytorch
23119841/FocalNet
[NeurIPS 2022] Official code for "Focal Modulation Networks"
23119841/FocalNet-DINO
This repo contains the code and configuration files for reproducing object detection results of FocalNets with DINO
23119841/GreenMIM
Official implementation of the paper 'Green Hierarchical Vision Transformer for Masked Image Modeling'.
23119841/Mask-aware-IoU
Official PyTorch Implementation of Mask-aware IoU and maYOLACT Detector [BMVC2021]
23119841/MaskDINO
Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"
23119841/mmdeploy
OpenMMLab Model Deployment Framework
23119841/ModernConvNets
Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras
23119841/netadapt
This repo contains the official Pytorch reimplementation of the paper "NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications".
23119841/PaddlePaddle-Swin-Transformer-V2
Unofficial Paddle implementation of "Swin Transformer V2: Scaling Up Capacity and Resolution"
23119841/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
23119841/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
23119841/QSS
QT Style Sheets templates
23119841/qtkaifajingyan
自己总结的这十多年做Qt开发以来的经验，以及Qt相关武林秘籍电子书，会一直持续更新增加，欢迎各位留言增加内容或者提出建议，谢谢！公众号：Qt教程
23119841/RPIMoCap
Passive optical distributed motion capture system
23119841/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
23119841/SOLO
SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.
23119841/Swin-Transformer-Object-Detection
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
23119841/Swin-Transformer-V2
PyTorch reimplementation of the paper "Swin Transformer V2: Scaling Up Capacity and Resolution" [arXiv 2021].
23119841/Swin-Unet
The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"
23119841/TransPose
PyTorch Implementation for "TransPose: Keypoint localization via Transformer", ICCV 2021.
23119841/UniFormer
[ICLR2022] official implementation of UniFormer
23119841/YOLOv5-Multibackbone-Compression
YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming), Quantization (MQBench) and Deployment (TensorRT, ncnn) Compression Tool Box.
23119841/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors