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https://github.com/GalBrandwine/HalloPy
a hand controlled Tello
https://github.com/GalBrandwine/HalloPy
Last synced: about 2 months ago
JSON representation
a hand controlled Tello
- Host: GitHub
- URL: https://github.com/GalBrandwine/HalloPy
- Owner: GalBrandwine
- License: mit
- Created: 2018-08-05T07:41:23.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2021-11-09T16:32:11.000Z (over 2 years ago)
- Last Synced: 2023-03-11T21:43:43.024Z (over 1 year ago)
- Language: Python
- Size: 5.34 MB
- Stars: 59
- Watchers: 10
- Forks: 25
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
Lists
- awesome-tello - Hallo - Hand gesture controlled (Examples)
README
# Hallo - a hand controlled Tello
DJI Tello controller using hand gestures python app
## Docker installation in 3 steps
Tested on ubuntu 19.10
### step 1
```shell script
git clone https://github.com/GalBrandwine/HalloPy
cd HalloPy
git submodule update --init --recursive
```
### step 2
```shell script
docker build --network=host --tag hallopy:1.3 .
```
(make sure you have docker [installed](https://docs.docker.com/get-started/).)
### step 3
(Make sure you're connected to the TELLO wifi)
```shell script
xhost + && docker run --rm -it --net=host --ipc=host -e DISPLAY=$DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix --privileged -v /dev/video0:/dev/video0 --name hallopy hallopy:1.3
```
For flags explanation: [running docker with gui](https://marcosnietoblog.wordpress.com/2017/04/30/docker-image-with-opencv-with-x11-forwarding-for-gui/)
## Non docker users
Environment:
* ubuntu 19.10
* python 3.7
Dependency libraries installation:
* pip install av==6.1.2
* pip install opencv-python
### Run
From directory `/HalloPy/`:
```shell script
python ./hallopy/hallo.py
```
## Controller Usage
1. Make sure you have all dependency libraries.
for great openCV installation tutorial refer to:
2. Turn on Tello drone and connect to it's wifi
1. there's no setup.py yet, so in order to run this project, open the project in an IDE and run: hallo.py
3. Application usage:
```
press 'b' - to detect palm ( depend on the environment lights, a Thresh Hold slider tuning may be needed)
center the detected palm at the center of the detection_frame FOR 5 seconds
pressing b again will reset calibration.
```
After center-circle become GREEN (meaning we are now calibrated):
```
press 't' - to take off ( a 3 second hold-up, until drone is in the air)
after landing - if program is calibrated, press t again to take-off
press 'c' - to toggle drone's control between key-board and detected-palm
toggling back to keyboard will force drone to hover in the same place
press 'l' - to land ( at any time)
press 'x' - to adjust background' threshold - for thicker palm recognition
press 'z' - to adjust background' threshold - for thinner palm recognition
press 'esc' to exit program ( only after drone landed)
```
4. Video explaining hands movements for controlling the drone can be found [here](https://youtu.be/NSwKCzxFBv4), and [here](https://youtu.be/6THFNt_5LNg)
# Thanks to
* OpenCV - for the greatest computer Vision library in this world ( and others)
* tellopy repo - for making a super friendly drone api
* Adrian and his crew at - for the best How-to's tutorials
and email support.
* Izane for his FingerDetection -