xiaoyza's starred repositories
segment-anything
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.
CVPR2024-Papers-with-Code
CVPR 2024 论文和开源项目合集
PaddleDetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
CVPR2024-Paper-Code-Interpretation
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
BlenderProc
A procedural Blender pipeline for photorealistic training image generation
UNet-family
Paper and implementation of UNet-related model.
com.unity.perception
Perception toolkit for sim2real training and validation in Unity
awesome-3dcv-papers-daily
主要记录计算机视觉、VSLAM、点云、结构光、机械臂抓取、三维重建、深度学习、自动驾驶等前沿paper与文章。
ICCV2021-Papers-with-Code-Demo
ICCV 2021 paper with code
Dataset_Utilities
NVIDIA Dataset Utilities (NVDU)
awesome-synthetic-data
📖 A curated list of resources dedicated to synthetic data
Data-Generation-with-Blender
Step-by-step tutorial on how to create data with Blender for an object detection application, with ressources included.
SuperCaustics
Real-time, open-source simulation of transparent objects for deep learning applications
AIPlayground
A virtual environment that allows changing isolated features in the image
amira_blender_rendering
Code base for physics-based photorealistic rendering within the scope of Bosch BCAI AMIRA probject
procedural-3d-image-generation
This repository is demonstrating how Blender can be leveraged to create synthetic machine learning training data for computer vision tasks.
UnrealCV-stereo-depth-generation
Python scripts for generating synthetic stereo depth data using the UnrealCV library.
ImageSynthUnity
Urban environment simulation in Unity3d. A model of sidewalk mobile robot is added with ROS integration. A synthetic data collection pipeline is available. Dynamic objects motion is provided with the help of NavMesh.