我正在尝试在我的机器中复制这种类似模式匹配的代码，但它无法识别我的网络摄像头上的任何面孔。我运行了两个来源的确切代码，但结果是相同的，它加载参考图像并打开相机，但它没有检测到任何东西。没有错误。
https://pysource.com/2021/08/16/face-recognition-in-real-time-with-opencv-and-python/
https://www.youtube.com/watch?v=tl2eEBFEHqM
这是代码：
import face_recognition
import os, sys, cv2, math, dlib
import numpy as np
def face_confidence(face_distance, face_match_threshold=0.6):
range = (1.0 - face_match_threshold)
linear_value = (1.0 - face_distance) / (range * 2.0)
if face_distance > face_match_threshold:
return str(round(linear_value * 100, 2)) + '%'
else:
value = (linear_value + ((1.0 - linear_value) * math.pow((linear_value - 0.5)*2, 0.2))) * 100
return str(round(value, 2)) + '%'
class FaceRecognition:
face_locations = []
face_encodings = []
face_names = []
known_face_encodings = []
known_face_names = []
process_current_frame = True
def __init__(self) -> None:
self.encode_faces()
def encode_faces(self):
for image in os.listdir('faces'):
face_image = face_recognition.load_image_file(f'faces/{image}')
face_encoding = face_recognition.face_encodings(face_image)
self.known_face_encodings.append(face_encoding)
self.known_face_names.append(image)
print(self.known_face_names)
def run_recognition(self):
video_capture = cv2.VideoCapture(0)
if not video_capture.isOpened():
sys.exit('camera não encontrada')
while True:
ret, frame = video_capture.read()
if self.process_current_frame:
small_frame = cv2.resize(frame, (0,0), fx=0.25, fy=0.25)
rgb_small_frame = small_frame[:,:, ::-1]
#find all the faces in current frame
self.face_locations = face_recognition.face_locations(rgb_small_frame)
# self.face_encodings = face_recognition.face_encodings(rgb_small_frame, self.face_locations)
self.face_encodings = face_recognition.face_encodings(
rgb_small_frame,
[dlib.rectangle(*face_location) for face_location in self.face_locations] # Convert face_locations to dlib rectangles
)
self.face_names = []
for face_encoding in self.face_encodings:
matches = face_recognition.compare_faces(self.known_face_encodings, face_encoding)
name = 'Não Autorizado'
confidence = 'Unknown'
face_distances = face_recognition.face_distance(self.known_face_encodings, face_encoding)
best_match_index = np.argmin(face_distances)
if matches[best_match_index]:
print('aaa')
name = self.known_face_names[best_match_index]
confidence = face_confidence(face_distances[best_match_index])
# print(confidence)
self.face_names.append(f'{name} ({confidence})')
self.process_current_frame = not self.process_current_frame
#Display Annotations
for (top, right, bottom, left), name in zip(self.face_locations, self.face_names):
top *= 4
right *= 4
bottom *= 4
left *= 4
cv2.rectangle(frame, (left, top), (right, bottom), (0,0,255), 2)
cv2.rectangle(frame, (left, bottom - 35), (right, bottom), (0,0,255), -1)
cv2.putText(frame, name, (left + 6, bottom - 6), cv2.FONT_HERSHEY_DUPLEX, 0.8, (255,255,255), 1)
cv2.imshow("Face Recognition", frame)
if cv2.waitKey(1) == ord('q'):
break
video_capture.release()
cv2.destroyAllWindows()
if __name__ == '__main__':
fr = FaceRecognition()
fr.run_recognition()
已尝试创建新的 conda envs 并重新安装所有涉及的软件包。
这是我的 conda 环境：
(cv) [hnz@aspire-5 ~/Downloads/source code]$ conda list
# packages in environment at /home/hnz/anaconda3/envs/cv:
#
# Name Version Build Channel
_libgcc_mutex 0.1 main
_openmp_mutex 5.1 1_gnu
bzip2 1.0.8 h7b6447c_0
ca-certificates 2023.12.12 h06a4308_0
click 8.1.7 pypi_0 pypi
contourpy 1.2.0 pypi_0 pypi
cycler 0.12.1 pypi_0 pypi
dlib 19.24.2 pypi_0 pypi
expat 2.5.0 h6a678d5_0
face-recognition 1.3.0 pypi_0 pypi
face-recognition-models 0.3.0 pypi_0 pypi
fonttools 4.47.2 pypi_0 pypi
kiwisolver 1.4.5 pypi_0 pypi
ld_impl_linux-64 2.38 h1181459_1
libffi 3.4.4 h6a678d5_0
libgcc-ng 11.2.0 h1234567_1
libgomp 11.2.0 h1234567_1
libstdcxx-ng 11.2.0 h1234567_1
libuuid 1.41.5 h5eee18b_0
matplotlib 3.8.2 pypi_0 pypi
ncurses 6.4 h6a678d5_0
numpy 1.26.3 pypi_0 pypi
opencv-python 4.9.0.80 pypi_0 pypi
openssl 3.0.12 h7f8727e_0
packaging 23.2 pypi_0 pypi
pillow 10.2.0 pypi_0 pypi
pip 23.3.1 py312h06a4308_0
pyparsing 3.1.1 pypi_0 pypi
pyqt5 5.15.10 pypi_0 pypi
pyqt5-qt5 5.15.2 pypi_0 pypi
pyqt5-sip 12.13.0 pypi_0 pypi
python 3.12.0 h996f2a0_0
python-dateutil 2.8.2 pypi_0 pypi
readline 8.2 h5eee18b_0
setuptools 68.2.2 py312h06a4308_0
six 1.16.0 pypi_0 pypi
sqlite 3.41.2 h5eee18b_0
tk 8.6.12 h1ccaba5_0
tzdata 2023d h04d1e81_0
wheel 0.41.2 py312h06a4308_0
xz 5.4.5 h5eee18b_0
zlib 1.2.13 h5eee18b_0
我想你需要在
ifbreakif matches[best_match_index]:
print('aaa')
name = self.known_face_names[best_match_index]
confidence = face_confidence(face_distances[best_match_index])
# print(confidence)
self.face_names.append(f'{name} ({confidence})')
self.process_current_frame = not self.process_current_frame
break
...但我不容易理解你需要你的应用程序做什么。