875052544

875052544's Stars

• WangRongsheng/ChatGenTitle

  🌟 ChatGenTitle：使用百万arXiv论文信息在LLaMA模型上进行微调的论文题目生成模型

  Language:Python82573

• kistvision/Plant_growth_measurement

  Language:Python6

• wufan-tb/yolo_slowfast

  Yolov5+SlowFast: Realtime Action Detection Based on PytorchVideo

  Language:Python43354

• FengQuanLi/ResnetGPT

  用Resnet101+GPT搭建一个玩王者荣耀的AI

  Language:Python2.8k748

• PolynomialQian/RD3D

  RD3D: RGB-D Salient Object Detection via 3D Convolutional Neural Networks

  Language:Python488

• Malikmal/Learning-Pointcloud

  My Learning of library pointcloud to process 3D image (RGBD) data. this repository for archive all my results for finishing research with the title is 3D Object Detection and Recognition Based on RGBD Images for Healthcare Robot. see timeline below:

  Language:Makefile62

• shijieS/RGBDCameraExtrinsicCalibration

  RGB-D extrinsic parameter automatic calibration based on plane detection

  Language:Matlab3610

• 123sandrachen/TPMv2

  2

• POSTECH-CVLab/FastPointTransformer

  Official source code of Fast Point Transformer, CVPR 2022

  Language:Python26942

• springzfx/point-cloud-annotation-tool

  Language:C++479120

• simon3dv/frustum_pointnets_pytorch

  A pytorch version of frustum-pointnets

  Language:Python11927

• yatengLG/PSAT

  PSAT - Point cloud segmentation annotation tool. （点云分割标注工具，同时支持语义分割与实例分割）

  Language:Python293

• xcanwin/KeepChatGPT

  这是一款提高ChatGPT的数据安全能力和效率的插件。并且免费共享大量创新功能，如：自动刷新、保持活跃、数据安全、取消审计、克隆对话、言无不尽、净化页面、展示大屏、拦截跟踪、日新月异、明察秋毫等。让我们的AI体验无比安全、顺畅、丝滑、高效、简洁。

  Language:JavaScript14.4k723

• Hardy-Uint/awesome-pointcloud-processing

  awesome PointCloud processing algorithm

  12535

• salihmarangoz/capsicum_superellipsoid_detector

  Estimating shapes and volumes of Capsicum fruits (bell pepper) by fitting superellipsoids to 3D mapping data for autonomous crop monitoring tasks for ROS1

  Language:Jupyter Notebook10

• icey-zhang/SuperYOLO

  SuperYOLO is accepted by TGRS

  Language:Python30550

• facebookresearch/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.

  Language:Jupyter Notebook46.7k5.5k