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nerfstudio/lantern_scripts/data_visualization.py
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89 lines
2.7 KiB
Python

from os import makedirs
from html4vision import Col, imagetable
import argparse
import json
import os
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('--input_dir', type=str, default='/mnt/data/nerfstudio_ds/real_data/coffeeroom_1102H/GT/GT_exr')
args = parser.parse_args()
left_e1_dir = args.input_dir + 'left_e1/'
left_e1_mask_dir = args.input_dir + 'masks/left_e1/'
right_e2_dir = args.input_dir + 'right_e2/'
right_e2_mask_dir = args.input_dir + 'masks/right_e2/'
imgs = [f for f in os.listdir(left_e1_dir) if f.endswith(".png")]
left_e1 = []
left_mask = []
right_e2 = []
right_mask = []
for img in imgs:
left_e1.append( os.path.join(left_e1_dir, img) )
left_mask.append( os.path.join(left_e1_mask_dir, img + '.masked.png') )
right_e2.append( os.path.join(right_e2_dir, img) )
right_mask.append( os.path.join(right_e2_mask_dir, img + '.masked.png') )
cols = [
Col('id1', 'ID'),
Col('text', 'Name', imgs),
Col('img', 'Left Pano', left_e1),
Col('img', 'Left Mask', left_mask),
Col('img', 'Right Pano', right_e2),
Col('img', 'Right Mask', right_mask),
]
imagetable(
cols,
args.input_dir + 'data_index.html',
'NeRF sequence',
pathrep=(args.input_dir, './'),
sort_style='materialize',
imscale=0.1,
zebra=True,
sticky_header=True,
overlay_toggle=True
)
left_sfm_dir = args.input_dir + 'left_sfm/'
left_sfm_mask_dir = args.input_dir + 'masks/left_sfm/'
right_sfm_dir = args.input_dir + 'right_sfm/'
right_sfm_mask_dir = args.input_dir + 'masks/right_sfm/'
imgs = [f for f in os.listdir(left_sfm_dir) if f.endswith(".png")]
left_sfm = []
left_mask = []
right_sfm = []
right_mask = []
for img in imgs:
left_sfm.append( os.path.join(left_sfm_dir, img) )
left_mask.append( os.path.join(left_sfm_mask_dir, img + '.masked.png') )
right_sfm.append( os.path.join(right_sfm_dir, img) )
right_mask.append( os.path.join(right_sfm_mask_dir, img + '.masked.png') )
cols = [
Col('id1', 'ID'),
Col('text', 'Name', imgs),
Col('img', 'Left Pano', left_sfm),
Col('img', 'Left Mask', left_mask),
Col('img', 'Right Pano', right_sfm),
Col('img', 'Right Mask', right_mask),
]
imagetable(
cols,
args.input_dir + 'sfm_index.html',
'SFM sequence',
pathrep=(args.input_dir, './'),
sort_style='materialize',
imscale=0.1,
zebra=True,
sticky_header=True,
overlay_toggle=True
)