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crazyflie-ar-detector

Crazyflie detector using webcam and AR marker

crazyflie-bootloader

The Crazyflie bootloader used for flashing firmware via the radio.

crazyflie-chrome-client

Crazyflie Chrome-app client

crazyflie-clients-python

Host applications and library for Crazyflie written in Python.

crazyflie-electron-client

crazyflie-electronics

Datasheets and KiCad project files for the Crazyflie electronics design.

crazyflie-firmware

The main firmware for the Crazyflie Nano Quadcopter.

crazyflie-firmware-experimental

Experimental branches of the Crazyflie firmware

crazyflie-lib-python

Python library to communicate with Crazyflie

crazyflie-release

Release repository for binaries

crazyflie-vision

Scripts and applications for autonomously controlling the Crazyflie using camera/Kinect on a host

crazyflie2-exp-template-electronics

KiCad project for the Crazyflie 2.0 expansion template

crazyflie2-ios-client

The Crazyflie 2.0 iOS client

crazyflie2-nrf-bootloader

Crazyflie 2.0 nRF51 Bootloader

crazyflie2-nrf-firmware

Crazyflie 2.0 nRF51 firmware

crazyflie2-nrf-mbs

Crazyflie 2.0 nRF51 Master Boot Switch

crazyflie2-stm-bootloader

Crazyflie 2.0 STM32F4 bootloader

crazyflie2-windows-uap-client

Windows 10 UAP application for controlling a Crazyflie 2.0 Quadcopter from a bluetooth 4.0 enabled phone or PC

crazyradio-electronics

Datasheets and KiCad project files for the Crazyradio electronics design.

crazyradio-firmware

Crazyradio firmware, programming scripts and driver.

ctrl-vio

Ctrl-VIO: Continuous-Time Visual-Inertial Odometry for Rolling Shutter Cameras

cubemapslam

A Piecewise-Pinhole Monocular Fisheye SLAM System

cvg_ardrone2_ibvs

We present a vision based control strategy for tracking and following objects using an Unmanned Aerial Vehicle. We have developed an image based visual servoing method that uses only a forward looking camera for tracking and following objects from a multi-rotor UAV, without any dependence on GPS systems. Our proposed method tracks a user specified object continuously while maintaining a fixed distance from the object and also simultaneously keeping it in the center of the image plane. The algorithm is validated using a Parrot AR Drone 2.0 in outdoor conditions while tracking and following people, occlusions and also fast moving objects; showing the robustness of the proposed systems against perturbations and illumination changes. Our experiments show that the system is able to track a great variety of objects present in suburban areas, among others: people, windows, AC machines, cars and plants. urls: http://www.vision4uav.eu/?q=following and http://robotics.asu.edu/ardrone2_ibvs/ .

cvpr2020-code

CVPR 2020 论文开源项目合集

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

darknet_ros

YOLO ROS: Real-Time Object Detection for ROS

dbface

DBFace is a real-time, single-stage detector for face detection, with faster speed and higher accuracy

deep-flow-guided-video-inpainting

pytorch implementation for "Deep Flow-Guided Video Inpainting"(CVPR'19)

deepfaceediting-jittor

deepsdf

Learning Continuous Signed Distance Functions for Shape Representation