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Technical guide to making money and investing（最全赚钱投资指南）
Open-source subtitle generation for seamless content translation.
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
[CVPR 2023 Highlight] The Official Code for High-Frequency Stereo Matching Network
Autonomous ground robots (2WD, 4WD, Ackermann Steering, Mecanum Drive)
Best practices, conventions, and tricks for ROS
xiaochengcike / Ai-learn
Forked from tangyudi/Ai-Learn人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理等热门领域
Core of SuperContinent, using for websocket and game calculate
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
Repository for "Toward Practical Monocular Indoor Depth Estimation" (CVPR 2022)
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.
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
🛠 A lite C++ toolkit of awesome AI models, support ONNXRuntime, MNN, TNN, NCNN and TensorRT.
Non-official Pytorch implementation of the CREStereo(CVPR 2022 Oral).
Depth Estimation using Stereo images using deep learning based architecture for disparity measurement.The architectures used for disparity estimation are BgNet,CreStereo, Raft-Stereo, HitNet,GwcNet…
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8…
Official MegEngine implementation of CREStereo(CVPR 2022 Oral).
[CVPR2023] Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation
[CVPR 2023] Iterative Geometry Encoding Volume for Stereo Matching and Multi-View Stereo
HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching
The most impressive websites in the world use 3D graphics and animations to bring their content to life. Learn how to build your own ThreeJS 3D Developer Portfolio today!
图解计算机网络、操作系统、计算机组成、数据库，共 1000 张图 + 50 万字，破除晦涩难懂的计算机基础知识，让天下没有难懂的八股文！🚀 在线阅读：https://xiaolincoding.com