《立体视觉入门指南》 代码， c++ code for StereoV3D course

这是一个yolox-tf2的源码，可以用于训练自己的模型。

Let's upgrade cheap off-the-shelf robotic mowers to modern, smart RTK GPS based lawn mowing robots!

DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60个国家的400所大学用于教学。

Models and examples built with TensorFlow

In this project we estimate the depth of objects in a given image

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

end-to-end DeepLab V3+ semantic segmentation pipeline, implemented with tf.keras

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Behavior Trees Library in C++. Batteries included.

Repository for pydnet, IROS 2018

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

Beginners book on Python - start here if you don't know programming

Chinese (zh-cn) translation of the Keras documentation.

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

PyTorch ,ONNX and TensorRT implementation of YOLOv4

Processing / plotting of RINEX based GPS & Galileo data

吴恩达老师的机器学习课程个人笔记

The Kalibr visual-inertial calibration toolbox

Range Image based road segmentation using DeepLabv3 plus

A cross-platform module for manipulating WiFi devices.

A ROS package tool to analyze the IMU performance.

A Keras implementation of YOLOv3 (Tensorflow backend)

IPM转换到BEV视角下

This repository uses a ROS node to subscribe to camera (hikvision) and lidar (livox) data. After the node merges the data, it publishes the colored point cloud and displays it in rviz.