import argparse
import context

# parse arguments
processopts = ['resize', 'opensfm', 'cmvs', 'pmvs',
               'odm_meshing', 'odm_texturing', 'odm_georeferencing',
               'odm_orthophoto']

parser = argparse.ArgumentParser(description='OpenDroneMap')
parser.add_argument('--project-path', 
                    metavar='<string>',
                    help='Path to the project to process')

parser.add_argument('--resize-to',  # currently doesn't support 'orig'
                    metavar='<integer>',
                    default=2400,
                    type=int,
                    help='resizes images by the largest side')

parser.add_argument('--start-with', '-s',
                    metavar='<string>',
                    default='resize',
                    choices=processopts,
                    help=('Can be one of: ' + ' | '.join(processopts)))

parser.add_argument('--end-with', '-e',
                    metavar='<string>',
                    default='odm_orthophoto',
                    choices=processopts,
                    help=('Can be one of:' + ' | '.join(processopts)))

parser.add_argument('--rerun', '-r',
                    metavar='<string>',
                    choices=processopts,
                    help=('Can be one of:' + ' | '.join(processopts)))

parser.add_argument('--force-focal',
                    metavar='<positive float>',
                    type=float,
                    help=('Override the focal length information for the '
                            'images'))

parser.add_argument('--force-ccd',
                    metavar='<positive float>',
                    type=float,
                    help='Override the ccd width information for the images')

parser.add_argument('--min-num-features',
                    metavar='<integer>',
                    default=4000,
                    type=int,
                    help=('Minimum number of features to extract per image. '
                          'More features leads to better results but slower '
                          'execution. Default: %(default)s'))

parser.add_argument('--matcher-threshold',
                    metavar='<percent>',
                    default=2.0,
                    type=float,
                    help=('Ignore matched keypoints if the two images share '
                            'less than <float> percent of keypoints. Default:'
			    ' $(default)s'))

parser.add_argument('--matcher-ratio',
                    metavar='<float>',
                    default=0.6,
                    type=float,
                    help=('Ratio of the distance to the next best matched '
                            'keypoint. Default: %(default)s'))

parser.add_argument('--matcher-neighbors',
                    type=int,
                    metavar='<integer>',
                    default=8,
                    help='Number of nearest images to pre-match based on GPS '
                            'exif data. Set to 0 to skip pre-matching. '
                            'Neighbors works together with Distance parameter, '
                            'set both to 0 to not use pre-matching. OpenSFM '
                            'uses both parameters at the same time, Bundler '
                            'uses only one which has value, prefering the '
                            'Neighbors parameter. Default: %(default)s')

parser.add_argument('--matcher-distance',
                    metavar='<integer>',
                    default=0,
                    type=int,
                    help='Distance threshold in meters to find pre-matching '
                            'images based on GPS exif data. Set to 0 to skip '
                            'pre-matching. Default: %(default)s')

parser.add_argument('--cmvs-maxImages',
                    metavar='<integer>',
                    default=500,
                    type=int,
                    help='The maximum number of images per cluster. '
                             'Default: %(default)s')

parser.add_argument('--pmvs-level',
                    metavar='<positive integer>',
                    default=1,
                    type=int,
                    help=('The level in the image pyramid that is used '
                            'for the computation. see '
                            'http://www.di.ens.fr/pmvs/documentation.html for '
                            'more pmvs documentation. Default: %(default)s'))

parser.add_argument('--pmvs-csize',
                    metavar='< positive integer>',
                    default=2,
                    type=int,
                    help='Cell size controls the density of reconstructions'
                             'Default: %(default)s')

parser.add_argument('--pmvs-threshold',
                    metavar='<float: -1.0 <= x <= 1.0>',
                    default=0.7,
                    type=float,
                    help=('A patch reconstruction is accepted as a success '
                            'and kept if its associated photometric consistency '
                            'measure is above this threshold. Default: %(default)s'))

parser.add_argument('--pmvs-wsize',
                    metavar='<positive integer>',
                    default=7,
                    type=int,
                    help='pmvs samples wsize x wsize pixel colors from '
                            'each image to compute photometric consistency '
                            'score. For example, when wsize=7, 7x7=49 pixel '
                            'colors are sampled in each image. Increasing the '
                            'value leads to more stable reconstructions, but '
                            'the program becomes slower. Default: %(default)s')

parser.add_argument('--pmvs-minImageNum',
                    metavar='<positive integer>',
                    default=3,
                    type=int,
                    help=('Each 3D point must be visible in at least '
                            'minImageNum images for being reconstructed. 3 is '
                            'suggested in general. Default: %(default)s'))

parser.add_argument('--pmvs-num-cores',
                    metavar='<positive integer>',
                    default=context.num_cores,
                    type=int,
                    help=('The maximum number of cores to use in dense '
                            'reconstruction. Default: %(default)s'))

parser.add_argument('--odm_meshing-maxVertexCount',
                    metavar='<positive integer>',
                    default=100000,
                    type=int,
                    help=('The maximum vertex count of the output mesh '
                            'Default: %(default)s'))

parser.add_argument('--odm_meshing-octreeDepth',
                    metavar='<positive integer>',
                    default=9,
                    type=int,
                    help=('Oct-tree depth used in the mesh reconstruction, '
                            'increase to get more vertices, recommended '
                            'values are 8-12. Default: %(default)s'))

parser.add_argument('--odm_meshing-samplesPerNode',
                    metavar='<float >= 1.0>',
                    default=1.0,
                    type=float,
                    help=('Number of points per octree node, recommended '
                            'and default value: %(default)s'))

parser.add_argument('--odm_meshing-solverDivide',
                    metavar='<positive integer>',
                    default=9,
                    type=int,
                    help=('Oct-tree depth at which the Laplacian equation '
                            'is solved in the surface reconstruction step. '
                            'Increasing this value increases computation '
                            'times slightly but helps reduce memory usage. '
                            'Default: %(default)s'))

parser.add_argument('--odm_texturing-textureResolution',
                    metavar='<positive integer>',
                    default=4096,
                    type=int,
                    help=('The resolution of the output textures. Must be '
                            'greater than textureWithSize. Default: %(default)s'))

parser.add_argument('--odm_texturing-textureWithSize',
                    metavar='<positive integer>',
                    default=3600,
                    type=int,
                    help=('The resolution to rescale the images performing '
                            'the texturing. Default: %(default)s'))

parser.add_argument('--odm_georeferencing-gcpFile',
                    metavar='<path string>',
                    default='gcp_list.txt',
                    help=('path to the file containing the ground control '
                            'points used for georeferencing.  Default: '
                            '%(default)s. The file needs to '
                            'be on the following line format: \neasting '
                            'northing height pixelrow pixelcol imagename'))

parser.add_argument('--odm_georeferencing-useGcp',
                    action = 'store_true',
                    default = False,
                    help = 'Enabling GCPs from the file above. The GCP file '
                             'is not used by default.')

parser.add_argument('--odm_orthophoto-resolution',
                    metavar='<float > 0.0>',
                    default=20.0,
                    type=float,
                    help=('Orthophoto ground resolution in pixels/meter'
                             'Default: %(default)s'))

parser.add_argument('--zip-results',
                    action='store_true',
                    default=False,
                    help='compress the results using gunzip')

parser.add_argument('--time',
                    action='store_true',
                    default=False,
                    help='Generates a benchmark file with runtime info\n'
                           'Default: %(default)s')

args = vars(parser.parse_args())