#! /usr/bin/env python
'''Image/Video utilities'''

import Image, ImageDraw # PIL
#import aggdraw # agg on top of PIL (antialiased drawing)
from moving import Point
#import utils

__metaclass__ = type

def drawLines(filename, origins, destinations, w = 1, resultFilename='image.png'):
    '''Draws lines over the image '''
    
    img = Image.open(filename)

    draw = ImageDraw.Draw(img)
    #draw = aggdraw.Draw(img)
    #pen = aggdraw.Pen("red", width)
    for p1, p2 in zip(origins, destinations):
        draw.line([p1.x, p1.y, p2.x, p2.y], width = w, fill = (256,0,0))
        #draw.line([p1.x, p1.y, p2.x, p2.y], pen)
    del draw 

    #out = utils.openCheck(resultFilename)
    img.save(resultFilename)

def project(homography, p):
    '''Returns the coordinates of the projection of the point p
    through homography'''
    from numpy.core._dotblas import dot
    from numpy.core.multiarray import array
    from numpy.lib.function_base import insert
    if (homography!=None) and (len(homography)>0):
        pAugmented = insert(array(p), [2],[1], axis=0)
        tmp = dot(homography, pAugmented)
        return [tmp[0]/tmp[2], tmp[1]/tmp[2]]
    else:
        return p

def projectTrajectory(homography, trajectory):
    '''Projects a series of points in the format
    [[x1, x2, ...],
    [y1, y2, ...]]

    Warning: not optimized, calls project()'''
    projected = [[],[]]
    for x, y in zip(trajectory[0], trajectory[1]):
        p = [x,y]
        pp = project(homography, p)
        projected[0].append(pp[0])
        projected[1].append(pp[1])
    return projected

def invertHomography(homography):
    'Returns an inverted homography'
    from numpy.linalg.linalg import inv
    invH = inv(homography)
    invH /= invH[2,2]
    return invH

class FourWayIntersection:
    '''Simple class for simple intersection outline'''
    def __init__(self, dimension, coordX, coordY):
        self.dimension = dimension
        self.coordX = coordX
        self.coordY = coordY

    def plot(self, options = 'k'):
        from matplotlib.pyplot import plot, axis
    
        minX = min(self.dimension[0])
        maxX = max(self.dimension[0])
        minY = min(self.dimension[1])
        maxY = max(self.dimension[1])
        
        plot([minX, self.coordX[0], self.coordX[0]], [self.coordY[0], self.coordY[0], minY],options)
        plot([self.coordX[1], self.coordX[1], maxX], [minY, self.coordY[0], self.coordY[0]],options)
        plot([minX, self.coordX[0], self.coordX[0]], [self.coordY[1], self.coordY[1], maxY],options)
        plot([self.coordX[1], self.coordX[1], maxX], [maxY, self.coordY[1], self.coordY[1]],options)
        axis('equal')