def disparity_to_height(tile, i):
"""
Compute a height map from the disparity map of a pair of image tiles.
Args:
tile: dictionary containing the information needed to process a tile.
i: index of the processed pair.
"""
out_dir = os.path.join(tile['dir'], 'pair_{}'.format(i))
height_map = os.path.join(out_dir, 'height_map.tif')
x, y, w, h = tile['coordinates']
if os.path.exists(os.path.join(out_dir, 'stderr.log')):
print('triangulation: stderr.log exists')
print('pair_{} not processed on tile {} {}'.format(i, x, y))
return
if cfg['skip_existing'] and os.path.isfile(height_map):
print('triangulation done on tile {} {} pair {}'.format(x, y, i))
return
print('triangulating tile {} {} pair {}...'.format(x, y, i))
rpc1 = cfg['images'][0]['rpc']
rpc2 = cfg['images'][i]['rpc']
H_ref = os.path.join(out_dir, 'H_ref.txt')
H_sec = os.path.join(out_dir, 'H_sec.txt')
disp = os.path.join(out_dir, 'rectified_disp.tif')
mask = os.path.join(out_dir, 'rectified_mask.png')
rpc_err = os.path.join(out_dir, 'rpc_err.tif')
out_mask = os.path.join(tile['dir'], 'cloud_water_image_domain_mask.png')
pointing = os.path.join(cfg['out_dir'],
'global_pointing_pair_{}.txt'.format(i))
triangulation.height_map(height_map, x, y, w, h, cfg['subsampling_factor'],
rpc1, rpc2, H_ref, H_sec, disp, mask, rpc_err,
out_mask, pointing)
if cfg['clean_intermediate']:
common.remove(H_ref)
common.remove(H_sec)
common.remove(disp)
common.remove(mask)
common.remove(rpc_err)
def disparity_to_height(tile, i):
"""
Compute a height map from the disparity map of a pair of image tiles.
Args:
tile: dictionary containing the information needed to process a tile.
i: index of the processed pair.
"""
out_dir = os.path.join(tile['dir'], 'pair_{}'.format(i))
height_map = os.path.join(out_dir, 'height_map.tif')
x, y, w, h = tile['coordinates']
if os.path.exists(os.path.join(out_dir, 'stderr.log')):
print('triangulation: stderr.log exists')
print('pair_{} not processed on tile {} {}'.format(i, x, y))
return
if cfg['skip_existing'] and os.path.isfile(height_map):
print('triangulation done on tile {} {} pair {}'.format(x, y, i))
return
print('triangulating tile {} {} pair {}...'.format(x, y, i))
rpc1 = cfg['images'][0]['rpc']
rpc2 = cfg['images'][i]['rpc']
H_ref = os.path.join(out_dir, 'H_ref.txt')
H_sec = os.path.join(out_dir, 'H_sec.txt')
disp = os.path.join(out_dir, 'rectified_disp.tif')
mask = os.path.join(out_dir, 'rectified_mask.png')
rpc_err = os.path.join(out_dir, 'rpc_err.tif')
out_mask = os.path.join(tile['dir'], 'cloud_water_image_domain_mask.png')
pointing = os.path.join(cfg['out_dir'],
'global_pointing_pair_{}.txt'.format(i))
triangulation.height_map(height_map, x, y, w, h, cfg['subsampling_factor'],
rpc1, rpc2, H_ref, H_sec, disp, mask, rpc_err,
out_mask, pointing)
if cfg['clean_intermediate']:
common.remove(H_ref)
common.remove(H_sec)
common.remove(disp)
common.remove(mask)
common.remove(rpc_err)
