紫炎's repositories
Ultra-Fast-Lane-Detection
Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)
models
Models and examples built with TensorFlow
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
BEVFormer
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
transfuser
[PAMI'22] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving, [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
AliceMind
ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab
detr
End-to-End Object Detection with Transformers
spvnas
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
fluid
Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)
weaviate
Weaviate is a cloud-native, modular, real-time vector search engine
CLIP
Contrastive Language-Image Pretraining
awesome-lane-detection
A paper list of lane detection.
lanedet
An open source lane detection toolbox based on PyTorch, including SCNN, RESA, UFLD, LaneATT, CondLane, etc.
yolov5_custom_trained_traffic_sign_detector
YOLOv5 Object Detection on Traffic Signs Dataset with Custom Training
ActionCLIP
This is the official implement of paper "ActionCLIP: A New Paradigm for Action Recognition"
yet-another-vectornet
Vectornet for trajectory prediction, implemented in PyTorch/Torch_geometric (WIP)
potree
WebGL point cloud viewer for large datasets
deep_gcns_torch
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
apollo
An open autonomous driving platform
faceswap
Deepfakes Software For All
lsd_slam
LSD-SLAM
awesome-point-cloud-analysis
A list of papers and datasets about point cloud analysis (processing)
cartographer
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
German-Traffic-Sign-Recognition-with-Deep-Learning
Recognizing traffic signs with deep learning and PyTorch using Spatial Transformer Convolutional Neural Networks.