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Face Recognition during flying

samshimoni

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Hello all I'm brand new at this hoping u could help me with this :

I wrote this little script of face recognition bellow and i want to combine this peace of code with a script who's in-charge of flying this drone
can anyone help me out please thanks a lot :



import numpy as np
import cv2
import pickle
import tellopy

face_cascade = cv2.CascadeClassifier('cascades/data/haarcascade_frontalface_alt2.xml')
eye_cascade = cv2.CascadeClassifier('cascades/data/haarcascade_eye.xml')
smile_cascade = cv2.CascadeClassifier('cascades/data/haarcascade_smile.xml')


recognizer = cv2.face.LBPHFaceRecognizer_create()
recognizer.read("trainer.yml")


labels = {"preson_name" : 1}
with open("labels.pickle", 'rb') as f:
og_labels = pickle.load(f)
labels = {v:k for k,v in og_labels.items()}

cap = cv2.VideoCapture(0)

while(True):
ret, frame = cap.read() #capture frame by frame
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, scaleFactor = 1.5, minNeighbors = 5)
for(x, y, w, h) in faces:

#ROI means region of interest
#print(x, y, w, h)
roi_gray = gray[y:y+h, x:x+w] #(ycord_start, ycord_end)
roi_color = frame[y:y+h, x:x+w] #(ycord_start, ycord_end)

#recognize deep learning model
id_, conf = recognizer.predict(roi_gray)
if conf>=60: ##and conf<=85:
print(id_)
print(labels[id_])

font = cv2.FONT_HERSHEY_SIMPLEX
name = labels[id_]
color = (255, 0, 0)
stroke = 2
cv2.putText(frame, name, (x,y), font, 1, color, stroke, cv2.LINE_AA)


img_item = "12.png"
cv2.imwrite(img_item, roi_color)

#prints rectangle
color = (255, 0, 0) #BGR
stroke = 2
end_cord_x = x + w
end_cord_y = y + h
cv2.rectangle(frame, (x, y),(end_cord_x, end_cord_y), color, stroke)
eyes = eye_cascade.detectMultiScale(roi_gray)
for(ex, ey, ew, eh ) in eyes:
cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh), (0,255,0), 2)
#sub_items = smile_cascade.detectMultiScale(roi_gray)
#for(ex, ey, ew, eh ) in sub_items:
#cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh), (0,255,0), 2)


#Display the image on screen
cv2.imshow('frame', frame)
if cv2.waitKey(20) & 0xFF == ord('q'):
break


cap.release()
cv2.destroyAllWindows()
 
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Karlredhat

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Hi I found a git hub library that recognizes face on a basic level and you and fly the tello. The developer wanted to first do it with machine learning and the could but went for a simpler method. I installed it on my PC and it took some configuring but it does recognize faces but the developer wants to but some more feature like recognized specific faces and more movement for following the faces maybe you an integrate your code with it.



from the github site

TelloTV
TelloTV is a rather simplistic approach to be able to launch your Tello drone & hav it track your face. This approach has been tested & proven to work with the DJI Tello Drone (Non - Educational Version I believe, but may still work with the educational version?)
Tested with Python 3.6, but it also may be compatabile with other versions.
Example
 
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