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A Python-based DJI Tello interface which utilizes parallel processing.

Project description

SAC-Tello

A simple library for controlling a DJI Tello Drone. Built for educational use.

Dependencies

numpy>=1.23.4

opencv-python>=4.6.0.66

face_recognition>=1.3.0

pygame>=2.2.0

Install

SAC-Tello can be installed by running the following command:

python3 -m pip install SAC-Tello

for MacOS/Linux

Or

python -m pip install SAC-Tello

for Windows

How To Use

Tello Drone

The primary interface for the drone is the TelloDrone class.

Creating a TelloDrone object is a simple as the following:

from SAC_Tello import TelloDrone
drone = TelloDrone()

A created drone object does not connect to the tello drone. This merely sets up everything that needs to be in place before a connection is made.

To connect to the Tello, the TelloDrone class has a method called start() once the Tello is connected remember to call the close() method when done. The start() method returns True if the connection worked and False if not.

For example a simple takeoff and land program looks like this:

from SAC_Tello import TelloDrone
drone = TelloDrone()
drone.start()
drone.takeoff()
drone.land()
drone.complete()
drone.close()

The following are all commands that can be sent to the Tello:

Command Method Arguments
takeoff takeoff None
land land None
up up distance: int
down down distance: int
left left distance: int
right right distance: int
forward forward distance: int
backward backward distance: int
rotate cw rotate_cw degrees: int
rotate ccw rotate_ccw degrees: int
flip left flip_left None
flip right flip_right None
flip forward flip_forward None
flip backward flip_backward None
move move x: int, y: int, z: int, spd: int
emergency emergency None

Commands are run in parallel and put into a queue for execution. In order to complete the remaining commands in the queue, simply call the complete() method of the TelloDrone object.

Tello Heads-up Display

As an additional feature SAC-Tello gives access to a near-real time video stream while the Tello is connected. To make this stream more useful a HUD was added. This HUD shows the following:

  • Current Battery life
  • Current Time-of-Flight sensor reading
  • Artificial Horizon indicating changes in pitch and roll

To use the HUD simply import and create a TelloDrone object and link it with a TelloHud object:

from SAC_Tello import TelloDrone, TelloHud
drone = TelloDrone()
hud = TelloHud(drone)
drone.start()
hud.activate_hud()
hud.deactivate_hud()
drone.close()

The HUD will launch a separate window when activated. This window can be closed at anytime by pressing the X in the upper right-hand corner.

Note: Before the HUD is activated nothing will happen. Once the HUD is active you will need to deactivate before your program ends.

Tello Face Detection

Another feature provided by SAC-Tello is access to face recognition via the tello's camera. In order to access the face recognition we must first make a FaceEncoder object. FaceEncoder objects take images and names and log a person's facial characteristics for later comparison. To register a face with the encoder we need to call the encode_face method and give it a name and the filename of a image containing that person's face. For example:

from SAC_Tello import FaceEncoder
face_encoder = FaceEncoder()
face_encoder.encode_face("Jim", "jim_selfie.jpg")

Once we have given all the faces we want to recognize to the FaceEncoder object we can pass in the current camera frame from the tello drone. The example below simply lists out the names of all people detected by the drone.

from SAC_Tello import FaceEncoder
from SAC_Tello import TelloDrone
face_encoder = FaceEncoder()
face_encoder.encode_face("Jim", "jim_selfie.jpg")
drone = TelloDrone()
drone.start()
while drone.get_frame() is None:
    pass
faces = face_encoder.detect_faces(drone.get_frame())
for name, frame_location in faces:
    print(name, "is in the frame.")
drone.close()

Of course this only looks at the first frame from the camera. To make it easier to see the face recognition in action SAC-Tello provides a face recognition version of the heads-up display. This is contained in the TelloFaceHud class and works similarly to the TelloHud class. For example the following code will allow for RC control of the Tello while streaming video that recognizes faces and displays names:

from SAC_Tello import FaceEncoder
from SAC_Tello import TelloRC
from SAC_Tello import TelloFaceHud
face_encoder = FaceEncoder()
face_encoder.encode_face("Jim", "jim_selfie.jpg")
drone = TelloRC()
hud = TelloFaceHud(drone, face_encoder)
hud.activate_hud()
drone.control()
hud.deactivate_hud()
drone.close()

Note: It may take a long time to encode all faces and so you should encode faces first, then use them. If a FaceEncoder object detects a face it does not recognize it will attribute the name unknown to it. Face recongition in this package not entirely reliable and results may vary.

Tello Remote Control

SAC-Tello also comes with a class for using a ground station computer as a remote control for the tello. This remote control can be combined with the TelloHud class just like the TelloDrone class, but we will skip that here.

To create and use the remote control simply include the following in your program:

from SAC_Tello import TelloRC
drone = TelloRC()
drone.start()
drone.control()
drone.close()

The control() method begins polling loop for keyboard input. The controls are as follows:

Key Press Effect
T Takeoff
L Land
ESCAPE Emergency Kill Switch
BACKSPACE End Remote Control
DELETE Zero Velocity
Key Held Effect
W Increase Forward Velocity
A Increase Leftward Velocity
S Increase Backward Velocity
D Increase Rightward Velocity
Q Rotate Counterclockwise
E Rotate Clockwise
R Increase Hover Height
F Decrease Hover Height

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