cam_server.py

#!/usr/bin/python
'''
	cam_server.py
'''

import SimpleHTTPServer
import SocketServer
from urlparse import urlparse
from urlparse import parse_qs
from threading import Thread, Lock
import time
import io
import picamera

camera = picamera.PiCamera()
camera.start_preview()
time.sleep(2)

def get_image(output, search):
	camera.capture(output, 'bgr')

mutex = Lock()

PORT = 8020

# expecting a GET request on http://192.168.254.65:8020?<search string>
#
# hsize  - horizontal size   default 1280
# vsize  - vertical size     default 720
# 
#
# valid sizes  
#   3280 x 2464   (4:3)
#   64 x 48       (4:3)
#   640 x 480     (4:3)
#   1920 x 1080   (16:9)
#   1280 x 720    (16:9)
#
#  This says https://www.raspberrypi.org/blog/new-camera-mode-released/
#  Stills outputs 4:3 (like old school TV), video 16:9 (wide screen).
#
#   camera version 1 table of resolutions
#  https://picamera.readthedocs.io/en/release-1.10/fov.html
#
class MyHTTPRequestHandler(SimpleHTTPServer.SimpleHTTPRequestHandler):
	def do_GET(self):
		mutex.acquire()
		try:
			self.send_response(200)
			self.send_header('Content-Type', 'image/bgr')
			self.end_headers()
			url = urlparse(self.path)
			print(url.path)
			if((url.path == '') or (url.path=='/')):
				get_image(self.wfile, parse_qs(url.query))
			else:
				self.wfile.write(str(0))
		finally:
			mutex.release()

Handler = MyHTTPRequestHandler
httpd = SocketServer.TCPServer(("", PORT), MyHTTPRequestHandler)

httpd.serve_forever()

cv_core.py

#!/usr/bin/python
'''
	cv_core.py
'''

'''import SimpleHTTPServer
import SocketServer
from urlparse import urlparse
from urlparse import parse_qs
from threading import Thread, Lock
import time
'''
import io
import cv2
import numpy as np
from urllib.request import urlopen

# 2.7 version
# https://stackoverflow.com/questions/15138614/how-can-i-read-the-contents-of-an-url-with-python#15138702

link = "http://192.168.254.65:8020/"
f = urlopen(link)
#image = np.array(f.read())
data = np.fromstring(f.read(99999999), dtype=np.uint8)
print(len(data))
# "Decode" the image from the array, preserving colour
#image = cv2.imdecode(data, 1)
#print(len(image))
cv2.imwrite('hopefullyimage.jpg', data)