Hi,
i am doing a project on face detection over wifi streaming.Faces are being detected in the ide but not in the browser over wifi. Please help me out in this.i am attaching my code .
# MJPEG Streaming AP.
# This example shows off how to do MJPEG streaming in AccessPoint mode.
# Chrome, Firefox and MJpegViewer App on Android have been tested.
# Connect to OPENMV_AP and use this URL: http://192.168.1.1:8080 to view the stream.
import sensor, image, time, network, usocket, sys
SSID ='OPENMV_AP' # Network SSID
KEY ='1234567890' # Network key (must be 10 chars)
HOST = '' # Use first available interface
PORT = 8080 # Arbitrary non-privileged port
# Reset sensor
sensor.reset()
# Set sensor settings
sensor.set_contrast(1)
sensor.set_brightness(1)
sensor.set_saturation(1)
sensor.set_gainceiling(16)
sensor.set_framesize(sensor.QQVGA)
sensor.set_pixformat(sensor.RGB565)
# Load Haar Cascade
# By default this will use all stages, lower satges is faster but less accurate.
face_cascade = image.HaarCascade("frontalface", stages=25)
print(face_cascade)
# Init wlan module in AP mode.
wlan = network.WINC(mode=network.WINC.MODE_AP)
wlan.start_ap(SSID, key=KEY, security=wlan.WEP, channel=2)
# You can block waiting for client to connect
#print(wlan.wait_for_sta(10000))
def start_streaming(s):
print ('Waiting for connections..')
client, addr = s.accept()
# set client socket timeout to 2s
client.settimeout(2.0)
print ('Connected to ' + addr[0] + ':' + str(addr[1]))
# Read request from client
data = client.recv(1024)
# Should parse client request here