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imgs2renderpath.py
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imgs2renderpath.py
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import numpy as np
import sys
from llff.math.pose_math import generate_render_path
from llff.poses.pose_utils import load_data
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('scenedir', type=str,
help='input scene directory')
parser.add_argument('outname', type=str,
help='output .npy filename')
parser.add_argument('--x_axis', action='store_true')
parser.add_argument('--y_axis', action='store_true')
parser.add_argument('--z_axis', action='store_true')
parser.add_argument('--circle', action='store_true')
parser.add_argument('--spiral', action='store_true')
args = parser.parse_args()
comps = [
args.x_axis,
args.y_axis,
args.z_axis,
args.circle,
args.spiral,
]
if any(comps) is False:
comps = [True] * 5
print('Path components', comps)
poses, bds = load_data(args.scenedir, load_imgs=False)
render_poses = generate_render_path(poses, bds, comps, N=30)
if args.outname.endswith('txt'):
render_poses = np.concatenate([render_poses[...,1:2],
-render_poses[...,0:1],
render_poses[...,2:]], -1)
str_out = '{}\n'.format(render_poses.shape[0])
for p in render_poses:
str_out += ' '.join(['{}'.format(x) for x in p.T.ravel()]) + '\n'
open(args.outname, 'w').write(str_out)
elif args.outname.endswith('npy'):
np.save(args.outname, render_poses)
else:
print('Output file {} does not end in .txt or .npy'.format(args.outname))
sys.exit(-1)
print('Saved to', args.outname)