Rozpoznawanie twarzy

[robo1973]

Witam ~~

Uruchamiam program ze strony https://ichi.pro/pl/tworzenie-rozpoznawania-twarzy-w-pythonie-140558761485120
 

 

 

mport face_recognition
import cv2
import numpy as np
import os
import glob


#Importowanie obraxów z folderu bazy danych
faces_encodings = []
faces_names = []
#odczytuje foldere roboczy 
cur_direc = os.getcwd()
path = os.path.join(cur_direc,'faces')
print(path)
list_of_files = [f for f in glob.glob(path+'*.jpg')]
number_files = len(list_of_files)
names = list_of_files.copy()

#trenowanie twarzy z bayy 
for i in range(number_files):
    globals()['image_{}'.format(i)] = face_recognition.load_image_file(list_of_files[i])
    globals()['image_encoding_{}'.format(i)] = face_recognition.face_encodings(globals()['image_{}'.format(i)])[0]
    faces_encodings.append(globals()['image_encoding_{}'.format(i)])
    # Utwórz tablicę znanych imion 
    names[i] = names[i].replace(cur_direc, "")  
    faces_names.append(names[i])
    print(names[i])



face_locations = []
face_encodings = []
face_names = []
process_this_frame = True

video_capture = cv2.VideoCapture(0)
while True:
    ret, frame = video_capture.read()
    small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)
    rgb_small_frame = small_frame[:, :, ::-1]

    if process_this_frame:
        face_locations = face_recognition.face_locations( rgb_small_frame) # lokalizacja twarzy 
        face_encodings = face_recognition.face_encodings( rgb_small_frame, face_locations) # kodowanie twarzy 
        face_names = []

        for face_encoding in face_encodings:
            matches = face_recognition.compare_faces (faces_encodings, face_encoding)
            name = "Unknown"
            face_distances = face_recognition.face_distance( faces_encodings, face_encoding)
            best_match_index = np.argmin(face_distances)
            if matches[best_match_index]:
                name = faces_names[best_match_index]
            face_names.append(name)
    process_this_frame = not process_this_frame
# wyświetl wynik 
    for (top, right, bottom, left), name in zip(face_locations, face_names):
        top *= 4
        right *= 4
        bottom *= 4
        left *= 4
# Narysuj prostokąt wokół twarzy 
        cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2)
# Wpisz etykietę tekstową z nazwą pod twarza
        cv2.rectangle(frame, (left, bottom - 35), (right, bottom), (0, 0, 255), cv2.FILLED)
        font = cv2.FONT_HERSHEY_DUPLEX
        cv2.putText(frame, name, (left + 6, bottom - 6), font, 1.0, (255, 255, 255), 1)
# Wyświetl obraz
    cv2.imshow('Video', frame)
# Naciśnij „q” na klawiaturze, aby wyjść
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

i  pojawia się błąd w chwili wykrycia twarzy  Dziękuję za pomoc i pozdrawiam !!

 

 

 

  File "/home/pi/faces/rozpoznawanie_twarzy.py", line 43, in <module>
    small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)
cv2.error: OpenCV(4.5.4) /home/pi/opencv/modules/imgproc/src/resize.cpp:4051: error: (-215:Assertion failed) !ssize.empty() in function 'resize'

 

Edytowano Listopad 29, 2021 przez robo1973

[pmochocki]

Złożę się że "frame" ma pustą lub skoruptowaną/uszkodzoną ramkę.

Co się stanie gdy zrobisz zamiast tego:

small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)

to:

try:
    small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)

except Exception as e:
    print(str(e))

???

[robo1973]

to na razie pomogło

    small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)
    if ret:
        [-215]