I have a python code which detects faces, but if I am 3 meters away, it won't recognize me anymore... I am new to python and I think I can do more, if you can tell me the code I have to change.
Can somebody help me?
while True:
success, img = cap.read()
# img = captureScreen()
imgS = cv2.resize(img, (0, 0), None, 0.25, 0.25)
imgS = cv2.cvtColor(imgS, cv2.COLOR_BGR2RGB)
facesCurFrame = face_recognition.face_locations(imgS)
encodesCurFrame = face_recognition.face_encodings(imgS, facesCurFrame)
for encodeFace, faceLoc in zip(encodesCurFrame, facesCurFrame):
matches = face_recognition.compare_faces(encodeListKnown, encodeFace)
faceDis = face_recognition.face_distance(encodeListKnown, encodeFace)
matchIndex = np.argmin(faceDis)
name = classNames[matchIndex].upper()
if not matches[matchIndex]:
else:
y1, x2, y2, x1 = faceLoc
y1, x2, y2, x1 = y1 * 4, x2 * 4, y2 * 4, x1 * 4
cv2.rectangle(img, (x1, y1), (x2, y2), (0, 255, 0), 2)
cv2.rectangle(img, (x1, y2 - 35), (x2, y2), (0, 255, 0), cv2.FILLED)
cv2.putText(img, name, (x1 + 6, y2 - 6), cv2.FONT_HERSHEY_COMPLEX, 1, (255, 255, 255), 2)
cv2.imshow('Webcam', img)
cv2.waitKey(1)
```
I guess the problem is rather in the big distance and small face then in algorithm. face_recognition.face_locations() has an argument: number_of_times_to_upsample Try to set it 2 or more: as much as smaller faces to be found.