# ALL RIGHTS RESERVED.
#
# Authors: Tobias Kuehnl <*****@*****.**>
# Jannik Fritsch <*****@*****.**>
#
import os, sys
import computeBaseline, transform2BEV
#########################################################################
# test script to process testing data in perspective domain and
# transform the results to the metric BEV
#########################################################################
if __name__ == "__main__":
datasetDir = '/home/keenburn2004/data_road'
outputDir_perspective = '/home/keenburn2004/data_road/testing/test_baseline_perspective'
outputDir_bev = '/home/keenburn2004/data_road/testing/test_baseline_bev'
testData_pathToCalib = os.path.join(datasetDir, 'testing/calib')
print(testData_pathToCalib)space,
# you need to run this script before submission!
inputFiles = os.path.join(outputDir_perspective, '*.png')
print(inputFiles)
transform2BEV.main(inputFiles, testData_pathToCalib, outputDir_bev)
# now zip the contents in the directory 'outputDir_bev' and upload
# the zip file to the KITTI server
#
# Authors: Tobias Kuehnl <*****@*****.**>
# Jannik Fritsch <*****@*****.**>
#
import os, sys
import computingPipeline, transform2BEV
#########################################################################
# test script to process testing data in perspective domain and
# transform the results to the metric BEV
#########################################################################
if __name__ == "__main__":
calib = '/home/morris/var/media/Elements/var/data/KITTI/data_road/training/calib/'
outputDir = '/home/morris/var/media/Elements/var/data/KITTI/data_road/training/image/'
outputDir_bev = '/home/morris/var/media/Elements/var/data/KITTI/data_road/training/bev/'
# Convert baseline in perspective space into BEV space
# If your algorithm provides results in perspective space,
# you need to run this script before submission!
inputFiles = os.path.join(outputDir, '*.png')
transform2BEV.main(inputFiles, calib, outputDir_bev)
# now zip the contents in the directory 'outputDir_bev' and upload
# the zip file to the KITTI server
datasetDir = sys.argv[1]
assert os.path.isdir(datasetDir), 'Error <datasetDir>=%s does not exist' %datasetDir
if len(sys.argv)>2:
outputDir = sys.argv[2]
else:
# default
outputDir = os.path.join(datasetDir, 'results')
# path2data
testData_pathToCalib = os.path.join(datasetDir, 'testing/calib')
outputDir_perspective = os.path.join(outputDir, 'baseline_perspective_test')
outputDir_bev = os.path.join(outputDir, 'baseline_bev_test')
# Run computeBaseline script to generate example classification results on testing set
# Replace by your algorithm to generate real results
trainDir = os.path.join(datasetDir, 'training')
testDir = os.path.join(datasetDir, 'testing')
computeBaseline.main(trainDir, testDir, outputDir_perspective)
# Convert baseline in perspective space into BEV space
# If your algorithm provides results in perspective space,
# you need to run this script before submission!
inputFiles = os.path.join(outputDir_perspective, '*.png')
transform2BEV.main(inputFiles, testData_pathToCalib, outputDir_bev)
# now zip the contents in the directory 'outputDir_bev' and upload
# the zip file to the KITTI server
