Implementation of RT1 (Robotic Transformer) in Pytorch

Octo is a transformer-based robot policy trained on a diverse mix of 800k robot trajectories.

Dobb·E: An open-source, general framework for learning household robotic manipulation

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

这是一个unet-pytorch的源码，可以训练自己的模型

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Minimal PyTorch implementation of YOLOv3

Platform for small-scale self-driving vehicles.

Generic U-Net Tensorflow 2 implementation for semantic segmentation

Arduino software to control SainsSmart 6-axis palletizing robot arm

Autoware - the world's leading open-source software project for autonomous driving

Keep an Eye on Defects Inspection.

implement some algorithms of 6d pose estimation

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Basler RGBD Driver

RGB-D SLAM for ROS

LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …

Helper functions to create COCO datasets

Inception V3 for Transfer Learning on Cats and Dogs

My code for the kaggle Cats and Dogs Redux competition. Placed in top 8%.

A practical example of image classifier with Keras 2.x and TensorFlow backend, using the Kaggle Cats vs. Dogs dataset. By taking advantage of Keras' image data augmentation capabilities (and also r…

Keras code and weights files for popular deep learning models.

Learning Deep Learning

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

In hand scanner from PCL 1.8.0 with enhanced depth filter

Scripts showcasing filtering techniques applied to point cloud data.

Perception Exercises for Robotics

PCL, iterative-closest-point, points cloud matching.