Closes Program #1614
Comments
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I have the same issue with their example: https://github.com/ageitgey/face_recognition/blob/master/examples/facerec_from_webcam.py |
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For me, it would just no error, while looking for solutions I found this that worked: |
Exception has occurred:python code import face_recognition
import os
import sys
import cv2
import numpy as np
import math
from datetime import datetime
# Function to calculate face confidence
def face_confidence(face_distance, face_match_threshold=0.6):
range_ = 1.0 - face_match_threshold
linear_val = (1.0 - face_distance) / (range_ * 2.0)
if face_distance > face_match_threshold:
return f"{round(linear_val * 100, 2)}%"
else:
val = (linear_val + ((1.0 - linear_val) * math.pow((linear_val - 0.5) * 2, 0.2))) * 100
return f"{round(val, 2)}%"
# Face Recognition class
class FR:
def __init__(self):
self.face_locations = []
self.face_encodings = []
self.face_name = []
self.known_face_encodings = []
self.known_face_name = []
self.process_current_frame = True
self.Time = datetime.now()
# Logging setup
self.text_file = open("D:\\python\\sec_c.txt", 'a')
self.text_file.write("***********************Activated by command mode***********************\n")
self.encode_faces()
# Encode known faces from the 'faces' folder
def encode_faces(self):
for image in os.listdir("faces"):
face_image = face_recognition.load_image_file(f"faces/{image}")
# Check if face encoding is found
encodings = face_recognition.face_encodings(face_image)
if encodings:
self.known_face_encodings.append(encodings[0])
self.known_face_name.append(image)
else:
print(f"Could not find any face encoding for {image}")
# Run real-time face recognition
def run_recongnition(self):
video_capture = cv2.VideoCapture(0)
if not video_capture.isOpened():
sys.exit("Video source not found.")
detected_names = set()
while True:
ret, frame = video_capture.read()
if not ret:
print("Failed to grab frame.")
break
if self.process_current_frame:
# Resize frame for faster processing
small_image = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)
rgb_small_image = small_image[:, :, ::-1]
# Detect face locations
self.face_locations = face_recognition.face_locations(rgb_small_image)
if not self.face_locations:
continue
# Encode faces
try:
self.face_encodings = face_recognition.face_encodings(rgb_small_image, self.face_locations)
print(self.face_locations);break
if not self.face_encodings:
print("No face encodings generated! Skipping...")
continue
except Exception as e:
print(f"Error during face encoding: {e}")
self.face_encodings = []
continue
self.face_name = []
for face_encoding in self.face_encodings:
matches = face_recognition.compare_faces(self.known_face_encodings, face_encoding)
name = "Unknown"
confidence = "???"
if matches:
face_distances = face_recognition.face_distance(self.known_face_encodings, face_encoding)
best_match_index = np.argmin(face_distances)
if matches[best_match_index]:
name = self.known_face_name[best_match_index]
confidence = face_confidence(face_distances[best_match_index])
if float(confidence.rstrip("%")) > 94:
name = name.rstrip(".jpg")
detected_names.add(name)
self.face_name.append(f"{name}({confidence})")
self.process_current_frame = not self.process_current_frame
# Draw rectangles and labels around detected faces
for (top, right, bottom, left), name in zip(self.face_locations, self.face_name):
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_COMPLEX, 0.8, (255, 255, 255), 1)
cv2.imshow("Face Recognition", frame)
if cv2.waitKey(1) == ord('q'):
break
video_capture.release()
cv2.destroyAllWindows()
return detected_names
# Function to initialize and run face recognition
def Facein():
fr = FR()
detected_faces = fr.run_recongnition()
return detected_faces
# Run the face recognition
Facein()please help me make it work |
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Description
The package terminates my program every time it recognizes a face and the following error appears:
Code
import cv2
import face_recognition
video_capture = cv2.VideoCapture(0)
exemplo_imagem = face_recognition.load_image_file("exemplo.jpg")
exemplo_face_encodings = face_recognition.face_encodings(exemplo_imagem)
if len(exemplo_face_encodings) > 0:
exemplo_face_encoding = exemplo_face_encodings[0]
else:
print("Nenhum rosto encontrado na imagem de exemplo.")
video_capture.release()
cv2.destroyAllWindows()
exit()
conhecidos_face_encodings = [exemplo_face_encoding]
conhecidos_nomes = ["Exemplo"]
while True:
ret, frame = video_capture.read()
if not ret:
print("Não foi possível capturar o quadro.")
break
video_capture.release()
cv2.destroyAllWindows()
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