import os
import sys

import numpy as np
import cv2 as cv

from annotations import DataFile,computeBoundingBox


def show(img,filename="x"):
	cv.imshow(filename,img)
	cv.waitKey(0)
	cv.destroyAllWindows()


def filterVert(edges):
	# !! cv.morphologyEx()
	kernel = np.array([[1,0,1],[1,0,1],[1,0,1]],np.uint8)
	edges = cv.erode(edges,kernel)
	kernel=np.array([[0,1,0],[0,1,0],[0,1,0]],np.uint8)
	edges=cv.dilate(edges,kernel)
	return edges

def filterHor(edges):
	kernel = np.array([[1,1,1],[0,0,0],[1,1,1]],np.uint8)
	edges = cv.erode(edges,kernel)
	kernel=np.array([[0,0,0],[1,1,1],[0,0,0]],np.uint8)
	edges=cv.dilate(edges,kernel)
	return edges

def filterDiag(edges):
	kernel = np.array([[0,0,1],[1,0,0],[0,1,0]],np.uint8)
	edges1 = cv.erode(edges,kernel)
	kernel=np.array([[1,0,0],[0,1,0],[0,0,1]],np.uint8)
	edges1=cv.dilate(edges1,kernel)

	kernel = np.array([[0,1,0],[1,0,0],[0,0,1]],np.uint8)
	edges2 = cv.erode(edges,kernel)
	kernel=np.array([[0,0,1],[0,1,0],[1,0,0]],np.uint8)
	edges2=cv.dilate(edges2,kernel)

	return edges1+edges2

def houghLines(bwImg):
	colorImg=cv.cvtColor(bwImg,cv.COLOR_GRAY2BGR)
	lines = cv.HoughLinesP(bwImg,1,np.pi/180,10,minLineLength=10,maxLineGap=40)
	if lines is None: lines=[]
	for line in lines:
		x1,y1,x2,y2 = line[0]
		cv.line(colorImg,(x1,y1),(x2,y2),(0,255,0),1)

	show(colorImg)


if __name__=="__main__":
	i=sys.argv[1]
	annotations=DataFile("/home/laman/Projekty/python/oneEye/images/annotations.json.gz")
	filename="{0}.jpg".format(i)
	img=cv.imread(os.path.join("/home/laman/Projekty/python/oneEye/images/",filename))
	(x1,y1,x2,y2)=computeBoundingBox(annotations[filename][0])
	img=img[y1:y2, x1:x2, :]
	# blurred=cv.GaussianBlur(img,(5,5),0)
	# small=cv.resize(img,None,fx=0.5,fy=0.5,interpolation=cv.INTER_AREA)
	small=img
	clahe = cv.createCLAHE(clipLimit=2.0, tileGridSize=(8,8))
	gray=cv.cvtColor(small,cv.COLOR_BGR2GRAY)
	# gray=clahe.apply(gray)
	show(gray)
	edges=cv.Canny(gray,70,130)
	show(edges)
	edges=filterHor(edges)+filterVert(edges)+filterDiag(edges)
	show(edges)


	# kernel = np.ones((2,2),np.uint8)
	# edges = cv.morphologyEx(edges, cv.MORPH_DILATE, kernel)
	# show(edges)
	# edges=cv.morphologyEx(edges,cv.MORPH_ERODE,kernel)
	# show(edges)
	colorEdges=cv.cvtColor(edges,cv.COLOR_GRAY2BGR)
	# show(blurred)
	# show(small)

	# lines = cv.HoughLines(edges,1,np.pi/180,200)
	# if lines is None: lines=[]
	# for line in lines:
	# 	rho,theta = line[0]
	# 	a = np.cos(theta)
	# 	b = np.sin(theta)
	# 	x0 = a*rho
	# 	y0 = b*rho
	# 	x1 = int(x0 + 1000*(-b))
	# 	y1 = int(y0 + 1000*(a))
	# 	x2 = int(x0 - 1000*(-b))
	# 	y2 = int(y0 - 1000*(a))
	# 	cv.line(colorEdges,(x1,y1),(x2,y2),(0,0,255),1)
	houghLines(edges)