# Path: gui/imshow.py
# def paintcontours(frames, bg_models):
# def paintblobs(frames, total_blobs):
# def paintmasks(frames, total_blobs):
# def paintrotboxes(frames, total_subjects):
# def paintellipses(frames, total_subjects):
# def paintcircles(frames, total_subjects):
# def painttopbases(frames, total_subjects):
# def paintsubjectsboxes(frames, total_subjects):
# def paintaxes(frames, cameras):
# def projectgroundplanes(frames, cameras):
# def paint3dworld(frames, cameras):
# def painttracks(frames, tracks):
# def showallimg(camera_frames):
# 
# Path: gui/trackbar.py
# class TrackbarMain(object):
# class TrackbarSecondary(object):
#     def __init__(self, bg):
#     def setdefault(self):
#     def setoption(self, tb_value):
#     def setbeta(self, tb_value):
#     def setframecount(self, tb_value):
#     def setthreshold1(self, tb_value):
#     def setthreshold2(self, tb_value):
#     def setframebyframe(self, tb_value):
#     def setwaitkey(self, tb_value):
#     def __init__(self, background):
#     def setdefault(self, index):
#     def setwinheight(self, tb_value):
#     def setwinwidth(self, tb_value):
#     def setminpixwin(self, tb_value):
# def setdefaulttrackbarmain(bg):
# def setdefaulttrackbardsecondary(bg_models):
# 
# Path: bgsubtraction/bgprocess.py
# def bgprocess(frames, bg_models):
# 
#     for ii in range(len(frames)):
#         bg_models[ii].updatebackground(frames[ii])
#         bg_models[ii].subtractbackground(frames[ii])
#         bg_models[ii].windowscanbackground()
#         bg_models[ii].thresholdbackground()
#         bg_models[ii].contoursbackground()
# 
#     return bg_models
# 
# Path: detection/detectionprocess.py
# def detectionprocess(bg_models, cameras, frames):
# 
#     total_blobs = contourstoblobs(bg_models)
#     total_masks = createglobalmask(total_blobs, bg_models)
#     total_subjs = globalmasktosubjects(total_masks, bg_models, cameras, frames)
#     #total_subjs = retroprojectsubjects(cameras, total_subjs) # TODO
# 
#     return total_blobs, total_subjs
# 
# Path: tracker/trackerprocess.py
# def trackerprocess(tracks, subjects):
# 
#     tracks = associatetrackssubjects(tracks, subjects)
#     # groups = checkforgroups(tracks)
# 
#     return tracks


import cv2
import time
import datasets.datasetloader
import datasets.pets01_crop
import datasets.pets091
import datasets.ewap01
import datasets.oxtown
import datasets.grazptz1
import datasets.pets094
import datasets.pets095
import threedgeometry.frameretriever
import threedgeometry.retroprojection
from gui import imshow
from gui import trackbar
from bgsubtraction import bgprocess
from detection import detectionprocess
from tracker import trackerprocess
    cameras, configuration = initcameras()

    bg_models, tb, tracks = initloop(cameras, configuration)

    n_frames = 0.
    total_time = 0.

    while True:
        """
        print ''  # Debug purposes
        print '######################'
        print '       NEW FRAME'
        print '######################'
        print ''
        """

        program_starts = time.time()

        option = bg_models[0].bg.option  # get which img you want to visualize

        frames = threedgeometry.frameretriever.getframes(cameras)
        #frames = threedgeometry.frameretriever.getundistortedframes(cameras)

        if not frames:  # Video ended
            break
        #subjects = detectionprocess.hogdetectionprocess(frames)
        bg_models = bgprocess.bgprocess(frames, bg_models)
        
        blobs, subjects = detectionprocess.detectionprocess(bg_models, cameras, frames)


# Path: gui/imshow.py
# def paintcontours(frames, bg_models):
# def paintblobs(frames, total_blobs):
# def paintmasks(frames, total_blobs):
# def paintrotboxes(frames, total_subjects):
# def paintellipses(frames, total_subjects):
# def paintcircles(frames, total_subjects):
# def painttopbases(frames, total_subjects):
# def paintsubjectsboxes(frames, total_subjects):
# def paintaxes(frames, cameras):
# def projectgroundplanes(frames, cameras):
# def paint3dworld(frames, cameras):
# def painttracks(frames, tracks):
# def showallimg(camera_frames):
# 
# Path: gui/trackbar.py
# class TrackbarMain(object):
# class TrackbarSecondary(object):
#     def __init__(self, bg):
#     def setdefault(self):
#     def setoption(self, tb_value):
#     def setbeta(self, tb_value):
#     def setframecount(self, tb_value):
#     def setthreshold1(self, tb_value):
#     def setthreshold2(self, tb_value):
#     def setframebyframe(self, tb_value):
#     def setwaitkey(self, tb_value):
#     def __init__(self, background):
#     def setdefault(self, index):
#     def setwinheight(self, tb_value):
#     def setwinwidth(self, tb_value):
#     def setminpixwin(self, tb_value):
# def setdefaulttrackbarmain(bg):
# def setdefaulttrackbardsecondary(bg_models):
# 
# Path: bgsubtraction/bgprocess.py
# def bgprocess(frames, bg_models):
# 
#     for ii in range(len(frames)):
#         bg_models[ii].updatebackground(frames[ii])
#         bg_models[ii].subtractbackground(frames[ii])
#         bg_models[ii].windowscanbackground()
#         bg_models[ii].thresholdbackground()
#         bg_models[ii].contoursbackground()
# 
#     return bg_models
# 
# Path: detection/detectionprocess.py
# def detectionprocess(bg_models, cameras, frames):
# 
#     total_blobs = contourstoblobs(bg_models)
#     total_masks = createglobalmask(total_blobs, bg_models)
#     total_subjs = globalmasktosubjects(total_masks, bg_models, cameras, frames)
#     #total_subjs = retroprojectsubjects(cameras, total_subjs) # TODO
# 
#     return total_blobs, total_subjs
# 
# Path: tracker/trackerprocess.py
# def trackerprocess(tracks, subjects):
# 
#     tracks = associatetrackssubjects(tracks, subjects)
#     # groups = checkforgroups(tracks)
# 
#     return tracks


# Path: mainloop.py
import cv2
import time
import datasets.datasetloader
import datasets.pets01_crop
import datasets.pets091
import datasets.ewap01
import datasets.oxtown
import datasets.grazptz1
import datasets.pets094
import datasets.pets095
import threedgeometry.frameretriever
import threedgeometry.retroprojection
from gui import imshow
from gui import trackbar
from bgsubtraction import bgprocess
from detection import detectionprocess
from tracker import trackerprocess

    cameras, configuration = initcameras()

    bg_models, tb, tracks = initloop(cameras, configuration)

    n_frames = 0.
    total_time = 0.

    while True:
        """
        print ''  # Debug purposes
        print '######################'
        print '       NEW FRAME'
        print '######################'
        print ''
        """

        program_starts = time.time()

        option = bg_models[0].bg.option  # get which img you want to visualize

        frames = threedgeometry.frameretriever.getframes(cameras)
        #frames = threedgeometry.frameretriever.getundistortedframes(cameras)

        if not frames:  # Video ended
            break
        #subjects = detectionprocess.hogdetectionprocess(frames)
        bg_models = bgprocess.bgprocess(frames, bg_models)
        
        blobs, subjects = detectionprocess.detectionprocess(bg_models, cameras, frames)


        tracks = trackerprocess.trackerprocess(tracks, subjects)