SAC-Tello 0.1.3

A Python-based DJI Tello interface. Created primaily for educational use.

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

pygame>=2.5.0

Disclaimer

This is not official software of DJI or Ryze. All code is given as-is. Please seek official DJI Tello resources for additional information about the DJI Tello's technical information and SDK.

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

Note: Some users may have problems installing dependencies such as opencv-python or dependencies of SAC-Tello dependencies. We find that often this due to external non-python build tools being needed, for example opencv-python needs C++ build tools from Visual Studio to properly install on Windows.

How To Use

Since this package spawns multiple child processes any use of the package must originate from a protected starting point (i.e. if __name__ == __main__:) or else a Runtime Error will occur.

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
if __name__ == '__main__':
    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
if __name__ == '__main__':
    drone = TelloDrone()
    drone.start()
    drone.takeoff()
    drone.land()
    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
go	move	x: int, y: int, z: int, spd: int
curve	curve	x1: int, y1: int, z1: int, x2: int, y2: int, z2: int, spd: int
emergency	emergency	None

Commands are run in parallel to their display in the video feed. This is required to not disturb the continuity of the video feed.

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
if __name__ == '__main__':
    drone = TelloDrone()
    hud = TelloHud(drone)
    drone.start()
    hud.start()
    hud.stop()
    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.

Pressing the P key while the hud is active and streaming from the Tello will save the current frame from the Tello (this will remove all HUD elements.) The file will be saved, as a jpeg, in the current working directory using a UUID as its name.

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 FaceRecognizer object. FaceRecognizer 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 FaceRecognizer

if __name__ == '__main__':
    face_encoder = FaceRecognizer()
    face_encoder.encode_face("Jim", "jim_selfie.jpg")

Once we have given all the faces we want to recognize to the FaceRecognizer 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 FaceRecognizer
from SAC_Tello import TelloDrone

if __name__ == '__main__':
    face_encoder = FaceRecognizer()
    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 commands based control of the Tello while streaming video that recognizes faces and displays names:

from SAC_Tello import FaceRecognizer
from SAC_Tello import TelloDrone
from SAC_Tello import TelloFaceHud

if __name__ == '__main__':
    face_encoder = FaceRecognizer()
    face_encoder.encode_face("Jim", "jim_selfie.jpg")
    drone = TelloDrone()
    hud = TelloFaceHud(drone, face_encoder)
    hud.start()
    drone.takeoff()
    # insert drone flight commands here
    drone.land()
    hud.stop()
    drone.close()

Since encoding faces can take a long time the FaceRecognizer class gives the ability to save and load a set of encodings. Consider the following block of code:

from SAC_Tello import FaceRecognizer

if __name__ == '__main__':
    face_encoder = FaceRecognizer()
    face_encoder.encode_face("Jim", "jim_selfie.jpg")
    # Saves the encodings.
    face_encoder.save("my_encodings.enc")
    another_encoder = FaceRecognizer()
    another_encoder.load("my_encodings.enc")

This code saves the encodings computed in the first FaceEndocer object to the file my_encodings.enc and then loads them into another FaceRecognizer object.

If you are going to encode many faces for use with the Tello we suggest you write a separate program which encodes all the faces you desire and saves that information to a file, then when using the Tello you load that file. This ensures the Tello will not automatically shutdown while face encoding is happening.

Notes:

• It is best to use photos taken by the Tello itself. This helps to reduce the potential difference in distortion, resolution, and aspect ratio from affecting the accuracy of face recognition.
• It is possible to assign multiple images to a single name. This will increase the accuracy of face recognition.
• It may take a long time to encode all faces and so you should encode faces first, then use them.
• As encoding faces takes a long time, it is recommended to encode first, then connect to the drone as encoding time may exceed the drone's auto-shutoff limit.
• If a FaceRecognizer object detects a face it does not recognize it will attribute the name unknown to it.
• With recent update (>= version 0.1.1) detection is capable of realtime performance 30fps, with reasonable hardware.
• Face Recognition (which occurs after detection) uses a model (S-Face) which is designed for speed of recognition, however performance degrades with number of faces in frame and number of faces registered.
• Face recognition in this package not entirely reliable and results may vary.

Tello Aruco Detection

Another feature provided by SAC-Tello is access to aruco marker detection via the openCV aruco library. In order to access the aruco detection we must first make a ArucoDetector object. ArucoDetector objects take image and convert them into the corresponding ids, frame locations, and distances (pending.) The example below simply lists out the ids and locations of all aruco markers detected by the drone.

from SAC_Tello import ArucoDetector
from SAC_Tello import TelloDrone

if __name__ == '__main__':
    aruco_detector = ArucoDetector()
    drone = TelloDrone()
    drone.start()
    while drone.get_frame() is None:
        pass
    markers = aruco_detector.detect_markers(drone.get_frame())
    for id, location, distance in markers:
        print(f"Marker with value {id} is in rectangle {location}")
    drone.close()

Of course this only looks at the first frame from the camera. To make it easier to see the aruco detection in action SAC-Tello provides a aruco detection version of the heads-up display. This is contained in the TelloArucoHud class and works similarly to the TelloHud class. For example the following code will allow for commands based control of the Tello while streaming video that detects aruco markers:

from SAC_Tello import TelloDrone
from SAC_Tello import TelloArucoHud

if __name__ == '__main__':
    drone = TelloDrone()
    hud = TelloArucoHud(drone)
    hud.start()
    drone.takeoff()
    # insert drone flight commands here
    drone.land()
    hud.stop()
    drone.close()

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
if __name__ == '__main__':
    drone = TelloRC()
    drone.start()
    drone.control()
    drone.close()

The TelloRC class has its own integrated hud system and does not require creation and activation of a separate hud.

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
LEFT ARROW	Flip Drone to the Left
RIGHT ARROW	Flip Drone to the Right
UP ARROW	Flip Drone Forward
DOWN ARROW	Flip Drone Backeard

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