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西北工业大学硕博学位论文模版 | Yet Another Thesis Template for Northwestern Polytechnical University
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Code for "LGFCTR: Local and Global Feature Transformer for Image Matching"
[CVPR 2023] DKM: Dense Kernelized Feature Matching for Geometry Estimation
Code release for CVPR'24 submission 'OmniGlue'
Code for "Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed", CVPR 2024
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
Library for Android Camera 1 and 2 APIs. Massively increase stability and reliability of photo and video capture on all Android devices.
🔥🔥🔥自定义Android相机(仿抖音 TikTok),其中功能包括视频人脸识别贴纸,美颜,分段录制,视频裁剪,视频帧处理,获取视频关键帧,视频旋转,添加滤镜,添加水印,合成Gif到视频,文字转视频,图片转视频,音视频合成,音频变声处理,SoundTouch,Fmod音频处理。 Android camera(imitation Tik Tok), which includes video e…
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
Machine learning metrics for distributed, scalable PyTorch applications.
Altium Designs for DepthAI Carrier Boards
End-to-End Object Detection with Transformers
This is a Computer vision package that makes its easy to run Image processing and AI functions. At the core it uses OpenCV and Mediapipe libraries.
Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, ben…
Official Implementation of "Flare7K: A Phenomenological Nighttime Flare Removal Dataset"
The official implementation for IEEE-ICASSP 2024 paper "Flare-Free Vision: Empowering Uformer with Depth Insights"
[ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization