Stars
[CVPR'24 Best Student Paper] Mip-Splatting: Alias-free 3D Gaussian Splatting
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
A curated list of awesome Deep Stereo Matching resources
[CVPR'20] AANet: Adaptive Aggregation Network for Efficient Stereo Matching
Stereo convolutional neural network for depth map prediction from stereo images
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
Attention-Aware Feature Aggregation for Real-time Stereo Matching on Edge Devices (ACCV, 2020)
DepthAI Python API utilities, examples, and tutorials.
A novel neural network architecture that can concurrently achieve real-time performance, competitive accuracy, and strong generalization ability.
OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline
LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation
[CVPR'24 Highlight & Best Demo Award] Gaussian Splatting SLAM
[ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy
Effortless data labeling with AI support from Segment Anything and other awesome models.
Labeling tool with SAM(segment anything model),supports SAM, SAM2, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具
Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)
Grounding DINO with Segment Anything & Stable Diffusion colab
一些关于目标检测的脚本的改进思路代码,详细请看readme.md
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
A simple demo of yolov5s running on rk3588/3588s using c (about 142 frames). / 一个使用c 在rk3588/3588s上运行的yolov5s简单demo(142帧/s)。
Code for "MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare", CoRL 2022.
[CVPR 2024] PyTorch implementation of GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence
nkb-tech / ultralytics
Forked from ultralytics/ultralyticsNEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite