elbruno

# load HL detection model from imageAI
# open camera with openCV, analyze frame by frame
# draw a red frame around the detected object
# display FPS, resize image to 1/4 to improve performance

from imageai.Detection.Custom import CustomObjectDetection
import os
import cv2
import time

elbruno

# load HL detection model from imageAI
# open camera with openCV, analyze frame by frame
# draw a red frame around the detected object

from imageai.Detection.Custom import CustomObjectDetection
import os
import cv2

detector = CustomObjectDetection()
detector.setModelTypeAsYOLOv3()

elbruno

# standard face detection sample with FPS in console
# open camera in low resolution to get better FPS

import face_recognition
import cv2
import time


video_capture = cv2.VideoCapture(0)
video_capture.set(cv2.CAP_PROP_FRAME_WIDTH,640)

elbruno

# fast face detection sample with FPS in console

import face_recognition
import cv2
import time

video_capture = cv2.VideoCapture(0)

while True:
    start_time = time.time()

elbruno

# standard face detection sample with FPS in console

import face_recognition
import cv2
import time


video_capture = cv2.VideoCapture(0)

while True:

elbruno

import face_recognition
import cv2
import numpy as np

def LoadFaces():
    bruno_image = face_recognition.load_image_file("d:\Faces\Bruno1.jpg")
    bruno_face_encoding = face_recognition.face_encodings(bruno_image)[0]
    valentino_image = face_recognition.load_image_file("d:\Faces\Valen1.jpg")
    valentino_face_encoding = face_recognition.face_encodings(valentino_image)[0]

elbruno

import face_recognition
import cv2
import numpy as np

video_capture = cv2.VideoCapture(0)

while True:
    ret, frame = video_capture.read()
    rgb_frame = frame[:, :, ::-1]

elbruno

import face_recognition
import cv2
import numpy as np

def LoadFaces():
    bruno_image = face_recognition.load_image_file("d:\Faces\Bruno1.jpg")
    bruno_face_encoding = face_recognition.face_encodings(bruno_image)[0]
    valentino_image = face_recognition.load_image_file("d:\Faces\Valen1.jpg")
    valentino_face_encoding = face_recognition.face_encodings(valentino_image)[0]

elbruno

def LoadFaces():
    bruno_image = face_recognition.load_image_file("d:\Faces\Bruno1.jpg")
    bruno_face_encoding = face_recognition.face_encodings(bruno_image)[0]
    valentino_image = face_recognition.load_image_file("d:\Faces\Valen1.jpg")
    valentino_face_encoding = face_recognition.face_encodings(valentino_image)[0]

    known_face_encodings = [
        bruno_face_encoding,
        valentino_face_encoding
        ]

elbruno

import face_recognition
import cv2

video_capture = cv2.VideoCapture(0)

while True:
    ret, frame = video_capture.read()
    rgb_frame = frame[:, :, ::-1]

    face_locations = face_recognition.face_locations(rgb_frame)