Tello Drone Trajectory Tracking

With this library you can track the trajectory of your tello drone or swarm of drones in real time. In addition, you can easily configure the plotter in the configuration file. In this blog, you can read more about how the trajectory is calculated.

drone-trajectory.mp4

Usage

Install requirements:

pip install -r requirements.txt

Write IP address of you tello in config.py file:

TELLO_IP_ADDRESSES = ["192.168.1.101",]

Write your flight commands in run method of flight_controller.py file:

def run(self):
    self.tellos.parallel(lambda i, tello: tello.takeoff())

    try:
        # Flight commands:
        self.tellos.parallel(lambda i, tello: tello.move_up(30))
        self.tellos.parallel(lambda i, tello: tello.move_right(30))
        self.tellos.parallel(lambda i, tello: tello.move_forward(30))
        self.tellos.parallel(lambda i, tello: tello.move_left(30))
    except Exception as e:
        print(str(e))
    finally:
        self.tellos.parallel(lambda i, tello: tello.land())
        self.tellos.parallel(lambda i, tello: tello.end())
    self.finish = True

Run main.py:

python main.py

Tello Drone Trajectory Tracking

Related tags

Overview

Tello Drone Trajectory Tracking

Usage

Authors

Owner

Kamran Asgarov

Reference PyTorch implementation of "End-to-end optimized image compression with competition of prior distributions"

Official PyTorch implementation of Less is More: Pay Less Attention in Vision Transformers.

Flappy bird automation using Neuroevolution of Augmenting Topologies (NEAT) in Python

Minecraft agent to farm resources using reinforcement learning

The end-to-end platform for building voice products at scale

EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow

PyTorch implementation for the paper Visual Representation Learning with Self-Supervised Attention for Low-Label High-Data Regime

Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling

Python implementation of "Single Image Haze Removal Using Dark Channel Prior"

TensorFlow-LiveLessons - "Deep Learning with TensorFlow" LiveLessons

Generalized Random Forests

General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends)

PAIRED in PyTorch 🔥

DWIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data.

Hunt down social media accounts by username across social networks

Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation

Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer

Hierarchical Clustering: O(1)-Approximation for Well-Clustered Graphs

FedML: A Research Library and Benchmark for Federated Machine Learning

Official implementation of the paper 'Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution' in CVPR 2022