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Remote_monitoring_using_Raspberry-Pi
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Remote_monitoring_using_Raspberry-Pi
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src_camera.py
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master
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Remote_monitoring_using_Raspberry-Pi
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src_camera.py
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import cv2
import time
import socket
import Image
import StringIO
# 获取摄像头
cap = cv2.VideoCapture(0)
# 调整采集图像大小为640*480
cap.set(cv2.cv.CV_CAP_PROP_FRAME_WIDTH, 640)
cap.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT, 480)
# 这里的HOST对应树莓派的IP地址(自己输入ifconfig查),端口号自己随便定一个即可,但注意后面的程序中要保持统一
HOST, PORT = '192.168.0.113', 9999
# 连接服务器
sock =socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock.connect((HOST, PORT))
while True:
# 获取一帧图像
ret, img = cap.read()
# 如果ret为false,表示没有获取到图像,退出循环
if ret is False:
print("can not get this frame")
continue
# 将opencv下的图像转换为PIL支持的格式
pi = Image.fromarray(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
buf = StringIO.StringIO()# 缓存对象
pi.save(buf, format='JPEG')# 将PIL下的图像压缩成jpeg格式,存入buf中
jpeg = buf.getvalue()# 从buf中读出jpeg格式的图像
buf.close()
transfer = jpeg.replace('\n', '\-n')# 替换\n为\-n,因为后面传输时,终止的地方会加上\n,可以便于区分
print len(transfer), transfer[-1]
sock.sendall(transfer + "\n")# 通过socket传到服务器
# time.sleep(0.2)
sock.close()
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