@kidswong999 难实现,那可以实现吗?
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17758962566
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RE: openMV的图传模块的热点程序,怎么和数传模块结合在一个程序里呀??在线求助
@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?
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openMV的图传模块的热点程序,怎么和数传模块结合在一个程序里呀??在线求助
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