I try to display name in my OpenCv rectangle. why it display error can someone help me
When I open my camera I got error display like this.
cv2.putText(frame, face_names, (left + 6, bottom - 6), font, 1.0, (255, 255, 255), 1)
TypeError: bad argument type for built-in operation
What should I do so that my webcam able to display name result in real time. Here my code
from flask import Flask, Response, json, render_template
from werkzeug.utils import secure_filename
from flask import request
from os import path, getcwd
import time
from face import Face
import cv2
from db import Database
import face_recognition
app = Flask(__name__)
app.config['file_allowed'] = ['image/png', 'image/jpeg']
app.config['train_img'] = path.join(getcwd(), 'train_img')
app.db = Database()
aface = Face(app) #You would need an app here
aface.load_all()
known_encoding_faces = aface.known_encoding_faces
user_id = aface.face_user_keys
class VideoCamera:
def __init__(self,app):
self.known_encoding_faces = aface.known_encoding_faces
self.user_id = aface.face_user_keys
#print face.known_encoding_faces
# Using OpenCV to capture from device 0. If you have trouble capturing
# from a webcam, comment the line below out and use a video file
# instead.
self.faces = []
self.video_capture = cv2.VideoCapture(0)
self.face_user_keys = {}
#self.recognize()
self.name_face()
# If you decide to use video.mp4, you must have this file in the folder
# as the main.py
def load_user_by_index_key(self, index_key=0):
key_str = str(index_key)
if key_str in self.face_user_keys:
return self.face_user_keys[key_str]
return None
def name_face (self):
results = app.db.select('SELECT users.name,faces.id, faces.user_id, faces.filename, faces.created FROM faces INNER JOIN users on users.id = faces.user_id')
for row in results:
user = {
"name": row[0]
}
face = {
"id": row[1],
"user_id": row[2],
"filename": row[3],
"created": row[4]
}
self.faces.append(user)
#print(self.faces)
# def recognize(self):
# success, frame = self.video_capture.read()
# small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)
# rgb_small_frame = small_frame[:, :, ::-1]
# face_locations = face_recognition.face_locations(rgb_small_frame)
# face_encodings_video = face_recognition.face_encodings(rgb_small_frame, face_locations)[0]
# results = face_recognition.compare_faces(self.known_encoding_faces, face_encodings_video);
# print("results", results)
# index_key = 0
# for matched in results:
# if matched:
# # so we found this user with index key and find him
# user_id = self.load_user_by_index_key(index_key)
# return user_id
# index_key = index_key + 1
# return None
def get_frame(self):
face_locations = []
face_encodings = []
face_names = []
process_this_frame = True
success, frame = self.video_capture.read()
small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)
rgb_small_frame = small_frame[:, :, ::-1]
# Only process every other frame of video to save time
if process_this_frame:
# Find all the faces and face encodings in the current frame of video
face_locations = face_recognition.face_locations(rgb_small_frame)
face_encodings = face_recognition.face_encodings(rgb_small_frame, face_locations)[0]
face_names = []
for face_encoding in face_encodings:
# See if the face is a match for the known face(s)
matches = face_recognition.compare_faces(self.known_encoding_faces, face_encodings)
name = "Unknown"
# If a match was found in known_face_encodings, just use the first one.
if True in matches:
first_match_index = matches.index(True)
name = self.faces[first_match_index]
print(name)
face_names.append(name)
process_this_frame = not process_this_frame
# Display the results
for (top, right, bottom, left), name in zip(face_locations, face_names):
# Scale back up face locations since the frame we detected in was scaled to 1/4 size
top *= 4
right *= 4
bottom *= 4
left *= 4
# Draw a box around the face
cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2)
# Draw a label with a name below the face
cv2.rectangle(frame, (left, bottom - 35), (right, bottom), (0, 0, 255), cv2.FILLED)
font = cv2.FONT_HERSHEY_DUPLEX
cv2.putText(frame, face_names, (left + 6, bottom - 6), font, 1.0, (255, 255, 255), 1)
ret, jpeg = cv2.imencode('.jpg', frame)
return jpeg.tobytes()
def __del__(self):
self.video_capture.release()```