chovy's starred repositories
free_clash_vpn
✈️ 2023 免费机场 / 免费VPN -> 自动获取免 clash/v2ray/trojan/sr/ssr 订阅链接，间隔12小时持续更新 | 科学上网 | 翻墙 | 梯子 | 免费节点
Awesome-BEV-Perception-Multi-Cameras
Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird's-Eye-View, such as DETR3D, BEVDet, BEVFormer, BEVDepth, UniAD
lanenet-lane-detection
Unofficial implemention of lanenet model for real time lane detection
awesome-lane-detection
A paper list of lane detection.
shadowrocket-ipa
小火箭Shadowrocket，QuantumultX,Quantumult等app的官方安裝包(未脫殼）
CLIPstyler
Official Pytorch implementation of "CLIPstyler:Image Style Transfer with a Single Text Condition" (CVPR 2022)
Ultra-Fast-Lane-Detection-v2
Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification (TPAMI 2022)
3D_Lane_Synthetic_Dataset
This is a synthetic dataset constructed to stimulate the development and evaluation of 3D lane detection methods.
Auto_maker
大家好，这是cv调包侠开源原创项目，您可以特别方便地通过我的auto-Maker实现目标检测数据集的实时生成，包括：实时数据采集、自动标注、转换、增强，并可以直接进行yolov3、yolov4、yolov5、eficientdet等，它可以直接导出到onnx，通过openvino和tensor-RT加速，除了检测外，还支持分类算法，可以在一分钟内完成图像的智能分类。欢迎来star Hello everyone, this is me: cver open source original project, you can particularly convenient through my auto_ Maker realizes the real-time production of target detection data set, including: real data acquisition, automatic annotation, conversion, enhancement, and can directly carry out yolov3, yolov4 , yolov5, eficientdet, etc., which can be directly exported to onnx and accelerated by openvino and tensor RT. besides detection, it also supports classification algorithm, which can complete intelligent classification of images in one minute. Welcome to star~
setup-ipsec-vpn
Scripts to build your own IPsec VPN server, with IPsec/L2TP, Cisco IPsec and IKEv2
pytorch-auto-drive
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help
Efficient-AI-Backbones
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
Tracking-papers
Tracking papers in (CVPR, ICCV, ECCV from 2018 to 2022)
ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
DetNet_pytorch
An implementation of DetNet: A Backbone network for Object Detection.
packnet-sfm
TRI-ML Monocular Depth Estimation Repository
Hands-On-Reinforcement-Learning-with-Python
Hands-On Reinforcement Learning with Python, published by Packt
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.