@kidswong999 难实现，那可以实现吗？

@4cbg对，我想使用WIFI模块返回图像，并且能给电脑返回识别物体的数据。你知道解决办法吗？

图传

# 这个例子展示了如何在AccessPoint模式下进行MJPEG流式传输。

# Android上的Chrome，Firefox和MJpegViewer App已经过测试。

# 连接到OPENMV_AP并使用此URL：http://192.168.1.1:8080查看流。



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.GRAYSCALE)



# 在AP模式下启动wlan模块。

wlan = network.WINC(mode=network.WINC.MODE_AP)

wlan.start_ap(SSID, key=KEY, security=wlan.WEP, channel=2)



#您可以阻止等待客户端连接

#print(wlan.wait_for_sta(10000))



def start_streaming(s):

    print ('Waiting for connections..')

    client, addr = s.accept()

    # 将客户端套接字超时设置为2秒

    client.settimeout(2.0)

    print ('Connected to ' + addr[0] + ':' + str(addr[1]))



    # 从客户端读取请求

    data = client.recv(1024)

    # 应该在这里解析客户端请求



    # 发送多部分head

    client.send("HTTP/1.1 200 OK\r\n" \

                "Server: OpenMV\r\n" \

                "Content-Type: multipart/x-mixed-replace;boundary=openmv\r\n" \

                "Cache-Control: no-cache\r\n" \

                "Pragma: no-cache\r\n\r\n")



    # FPS clock

    clock = time.clock()



    # 开始流媒体图像

    #注：禁用IDE预览以增加流式FPS。

    while (True):

        clock.tick() # Track elapsed milliseconds between snapshots().

        frame = sensor.snapshot()

        cframe = frame.compressed(quality=35)

        header = "\r\n--openmv\r\n" \

                 "Content-Type: image/jpeg\r\n"\

                 "Content-Length:"+str(cframe.size())+"\r\n\r\n"

        client.send(header)

        client.send(cframe)

        print(clock.fps())



while (True):

    # 创建服务器套接字

    s = usocket.socket(usocket.AF_INET, usocket.SOCK_STREAM)

    try:

        # Bind and listen

        s.bind([HOST, PORT])

        s.listen(5)



        # 设置服务器套接字超时

        # 注意：由于WINC FW bug，如果客户端断开连接，服务器套接字必须

        # 关闭并重新打开。在这里使用超时关闭并重新创建套接字。

        s.settimeout(3)

        start_streaming(s)

    except OSError as e:

        s.close()

        print("socket error: ", e)

        #sys.print_exception(e)


数传
# Blob Detection and uart transport

import sensor, image, time

from pyb import UART

import json

# For color tracking to work really well you should ideally be in a very, very,

# very, controlled enviroment where the lighting is constant...

yellow_threshold   = (65, 100, -10, 6, 24, 51)

# You may need to tweak the above settings for tracking green things...

# Select an area in the Framebuffer to copy the color settings.



sensor.reset() # Initialize the camera sensor.

sensor.set_pixformat(sensor.RGB565) # use RGB565.

sensor.set_framesize(sensor.QQVGA) # use QQVGA for speed.

sensor.skip_frames(10) # Let new settings take affect.

sensor.set_auto_whitebal(False) # turn this off.

clock = time.clock() # Tracks FPS.



uart = UART(3, 115200)



while(True):

    img = sensor.snapshot() # Take a picture and return the image.



    blobs = img.find_blobs([yellow_threshold])

    if blobs:

        print('sum :', len(blobs))

        output_str = json.dumps(blobs)

        for b in blobs:

            # Draw a rect around the blob.

            img.draw_rectangle(b.rect()) # rect

            img.draw_cross(b.cx(), b.cy()) # cx, cy



        print('you send:',output_str)

        uart.write(output_str+'\n')

    else:

        print('not found!')这里粘贴代码