#! /usr/bin/env python3
import sys, argparse, os.path
from shutil import copy
from trafficintelligence.cvutils import getImagesFromVideo
from matplotlib.pyplot import imsave
from trafficintelligence import storage, utils
# could try to guess the video
# check if there is already a tracking.cfg file
parser = argparse.ArgumentParser(description='The program initilizes the files for tracking: copy tracking.cfg, sets up with the video filename, generates a frame image (frame.png) and prints the next commands')
parser.add_argument('-i', dest = 'videoFilename', help = 'filename of the video sequence', required = True)
parser.add_argument('-n', dest = 'nFrames', help = 'number of frames to extract', type = int)
args = parser.parse_args()
# assumes tracking.cfg is in the parent directory to the directory of the traffic intelligence python modules
matchingPaths = [s for s in sys.path if 'traffic-intelligence' in s]
#if len(matchingPaths) > 1:
# print('Too many matching paths for Traffic Intelligence modules: {}'.format(matchingPaths))
if len(matchingPaths) == 0:
print('No environment path to Traffic Intelligence modules.\nExiting')
sys.exit()
else:
directoryName = matchingPaths[0]
if directoryName.endswith('/'):
directoryName = directoryName[:-1]
if os.path.exists(directoryName+'/tracking.cfg') and not os.path.exists('./tracking.cfg'):
f = utils.openCheck(directoryName+'/tracking.cfg')
out = utils.openCheck('./tracking.cfg', 'w')
for l in f:
if 'video-filename' in l:
tmp = l.split('=')
out.write(tmp[0]+'= '+args.videoFilename+'\n')
elif 'database-filename' in l:
tmp = l.split('=')
out.write(tmp[0]+'= '+utils.removeExtension(args.videoFilename)+'.sqlite\n')
else:
out.write(l)
f.close()
out.close()
print('Configuration file tracking.cfg successfully copied to the current directory with video and database filename adapted')
if os.path.exists(directoryName+'/classifier.cfg') and not os.path.exists('./classifier.cfg'):
copy(directoryName+'/classifier.cfg', 'classifier.cfg')
print('Configuration file classifier.cfg successfully copied to the current directory')
# extract image from video
if args.nFrames is not None:
image = getImagesFromVideo(args.videoFilename, 0, args.nFrames, saveImage = True, outputPrefix = 'frame')
else:
image = getImagesFromVideo(args.videoFilename, saveImage = True, outputPrefix = 'frame')
print('first video frame successfully copied to the current directory')
# next commands
print('''--------------------------------------
Here are a sample of the next command to compute the homography,
track features, group them in objects and display object trajectories
--------------------------------------''')
print('compute-homography -i [frame.png] -w [world_image] -n [npoints] -u [unit_per_pixel]')
print('(beware of camera distortion)')
print('feature-based-tracking tracking.cfg --tf')
print('feature-based-tracking tracking.cfg --gf')
print('display-trajectories --cfg tracking.cfg -t object')
