this service receive photo album it contains images and convert to video

python-bottle-service.py

from bottle import route,run,request,static_file
import os
import json
import numpy as np
import cv2


@route('/upload',method='POST')
def do_upload():
	category   = request.forms.get('category')
	upload = request.files.get('upload')
	name ,ext = os.path.splitext(upload.filename)
	if ext not in ('.png','.jpg','.jpeg'):
		return 'File ext'

	save_path = os.path.dirname(os.path.realpath(__file__))+'/images/'
	save_path+= upload.filename
	upload.save(save_path)
	algorithm(upload.filename)
	print "-----"+upload.filename
	return 'OK'

@route('/json')
def send_json():
	l = []
	save_path = os.path.dirname(os.path.realpath(__file__))+'/images2/'
	for file in os.listdir(save_path):
		l.append(save_path+str(file))
	return json.dumps({'json' : l})


@route('/download/<filename:path>')
def send_files(filename):
	path = os.path.dirname(os.path.realpath(__file__))
	print "---"+path
	print "***"+filename
	return static_file(filename,root= path+'/images2/',download=filename)


@route('/')
def hello():
	return "HELLO WORLD"
	

def algorithm(imgname):
	save_path = os.path.dirname(os.path.realpath(__file__))+'/images/'
	save_path2 = os.path.dirname(os.path.realpath(__file__))+'/images2/'
	img = cv2.imread(save_path+imgname, 0)
	#transformed_img = cv2.imread(imgname, 0)

	for x in range(0, len(img)):
	    for y in range(0, len(img[0])):
		center        = img[x,y]
		top_left      = get_pixel_else_0(img, x-1, y-1)
		top_up        = get_pixel_else_0(img, x, y-1)
		top_right     = get_pixel_else_0(img, x+1, y-1)
		right         = get_pixel_else_0(img, x+1, y )
		left          = get_pixel_else_0(img, x-1, y )
		bottom_left   = get_pixel_else_0(img, x-1, y+1)
		bottom_right  = get_pixel_else_0(img, x+1, y+1)
		bottom_down   = get_pixel_else_0(img, x,   y+1 )

		values = thresholded(center, [top_left, top_up, top_right, right, bottom_right,
		                              bottom_down, bottom_left, left])

		weights = [1, 2, 4, 8, 16, 32, 64, 128]
		res = 0
		for a in range(0, len(values)):
		    res += weights[a] * values[a]

		

	    print x

	#cv2.imshow('image', img)
	cv2.imwrite(os.path.join(save_path2,imgname),img)
	#cv2.imshow('thresholded image', transformed_img)

	#hist,bins = np.histogram(img.flatten(),256,[0,256])

	#cdf = hist.cumsum()
	#cdf_normalized = cdf * hist.max()/ cdf.max()

	#plt.plot(cdf_normalized, color = 'b')
	#plt.hist(transformed_img.flatten(),256,[0,256], color = 'r')
	#plt.xlim([0,256])
	#plt.legend(('cdf','histogram'), loc = 'upper left')
	#plt.show()

	cv2.waitKey(0)
	cv2.destroyAllWindows()
	
#######################################

def thresholded(center, pixels):
    out = []
    for a in pixels:
        if a >= center:
            out.append(1)
        else:
            out.append(0)
    return out

def get_pixel_else_0(l, idx, idy, default=0):
    try:
        return l[idx,idy]
    except IndexError:
        return default

run(host='0.0.0.0',port=8080,debug=True)