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Unable to open shape_predictor_68_face_landmarks.dat

Open zianito opened this issue 3 years ago • 0 comments

bonjour Anis voici le code pour me le corriger :

Code Anis - Defend Intelligence

import cv2 import dlib import PIL.Image import numpy as np from imutils import face_utils import argparse from pathlib import Path import os import ntpath

print('[INFO] Starting System...') print('[INFO] Importing pretrained model..') pose_predictor_68_point = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat") pose_predictor_5_point = dlib.shape_predictor("shape_predictor_5_face_landmarks.dat") face_encoder = dlib.face_recognition_model_v1("dlib_face_recognition_resnet_model_v1.dat") face_detector = dlib.get_frontal_face_detector() print('[INFO] Importing pretrained model..')

def transform(image, face_locations): coord_faces = [] for face in face_locations: rect = face.top(), face.right(), face.bottom(), face.left() coord_face = max(rect[0], 0), min(rect[1], image.shape[1]), min(rect[2], image.shape[0]), max(rect[3], 0) coord_faces.append(coord_face) return coord_faces

def encode_face(image): face_locations = face_detector(image, 1)

face_encodings_list = []
landmarks_list = []
for face_location in face_locations:
    # DETECT FACES
    shape = pose_predictor_68_point(image, face_location)
    face_encodings_list.append(np.array(face_encoder.compute_face_descriptor(image, shape, num_jitters=1)))
    # GET LANDMARKS
    shape = face_utils.shape_to_np(shape)
    landmarks_list.append(shape)
face_locations = transform(image, face_locations)
return face_encodings_list, face_locations, landmarks_list

def easy_face_reco(frame, known_face_encodings, known_face_names): rgb_small_frame = frame[:, :, ::-1] # ENCODING FACE face_encodings_list, face_locations_list, landmarks_list = encode_face(rgb_small_frame) face_names = [] for face_encoding in face_encodings_list: if len(face_encoding) == 0: return np.empty((0)) # CHECK DISTANCE BETWEEN KNOWN FACES AND FACES DETECTED vectors = np.linalg.norm(known_face_encodings - face_encoding, axis=1) tolerance = 0.6 result = [] for vector in vectors: if vector <= tolerance: result.append(True) else: result.append(False) if True in result: first_match_index = result.index(True) name = known_face_names[first_match_index] else: name = "Unknown" face_names.append(name)

for (top, right, bottom, left), name in zip(face_locations_list, face_names):
    cv2.rectangle(frame, (left, top), (right, bottom), (0, 255, 0), 2)
    cv2.rectangle(frame, (left, bottom - 30), (right, bottom), (0, 255, 0), cv2.FILLED)
    cv2.putText(frame, name, (left + 2, bottom - 2), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 0), 1)

for shape in landmarks_list:
    for (x, y) in shape:
        cv2.circle(frame, (x, y), 1, (255, 0, 255), -1)

if name == 'main': args = parser.parse_args()

print('[INFO] Importing faces...')
face_to_encode_path = ["known_faces"]
files = [file_ for file_ in face_to_encode_path.rglob('*.jpg')]

for file_ in face_to_encode_path.rglob('*.png'):
    files.append(file_)
if len(files)==0:
    raise ValueError('No faces detect in the directory: {}'.format(face_to_encode_path))
known_face_names = [os.path.splitext(ntpath.basename(file_))[0] for file_ in files]

known_face_encodings = []
for file_ in files:
    image = PIL.Image.open(file_)
    image = np.array(image)
    face_encoded = encode_face(image)[0][0]
    known_face_encodings.append(face_encoded)

print('[INFO] Faces well imported')
print('[INFO] Starting Webcam...')
video_capture = cv2.VideoCapture(0)
print('[INFO] Webcam well started')
print('[INFO] Detecting...')
while True:
    ret, frame = video_capture.read()
    easy_face_reco(frame, known_face_encodings, known_face_names)
    cv2.imshow('Easy Facial Recognition App', frame)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
print('[INFO] Stopping System')
video_capture.release()
cv2.destroyAllWindows()

bon l'erreur est :

Traceback (most recent call last): File "C:\Users\ziani_x0au9tx\Desktop\easy_facial_recognition-master\easy_facial_recognition.py", line 17, in pose_predictor_68_point = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat") RuntimeError: Unable to open shape_predictor_68_face_landmarks.dat

j'ai essayer de chaner la place des *.dat en modifiant aussi le code en dépandant mais le problème est toujours présent

q'est ce que je peux faire pour ça ?

voicie le projet complet

"https://www.mediafire.com/file/0i5qoj0bz9aauhl/easy_facial_recognition-master1.zip/file"

zianito avatar Apr 14 '21 22:04 zianito