updated download script (#592)

* updated download script

* rename

* remove omegaconf
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Ethan Weber authored and GitHub committed 2022-09-30 11:29:57 -07:00
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commit 3e61e315bb
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#!/usr/bin/env python
"""Helper that add tags to notebooks based on cell comments."""
import sys
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#!/usr/bin/env python
"""Download datasets"""
"""Download datasets and specific captures from the datasets."""
import os
import shutil
import sys
import zipfile
from pathlib import Path
from typing import Literal, Optional
import dcargs
import gdown
from rich.console import Console
nerfactory_file_ids = {
"dozer": "1-OR5F_V5S4s-yzxohbwTylaXjzYLu8ZR",
"sf_street": "1DbLyptL6my2QprEVtYuW2uzgp9JAK5Wz",
"poster": "1dmjWGXlJnUxwosN6MVooCDQe970PkD-1",
"lion": "1bx0aDtHoqB3xTAVHL9UIrlTL_vqC6vaH",
}
def download_friends():
"""Script ported from: https://github.com/ethanweber/sitcoms3D/blob/master/download_data.py"""
data_filename_to_file_id = [
("./data/human_data.zip", "1zk12qxnZbReKqdvy-JYp1jQn2QA3oJzz"),
("./data/human_pairs.zip", "1927rnmJ3mWcjsj0afqawSto2IK2lLwmA"),
("./data/sparse_reconstruction_and_nerf_data.zip", "1RmwDUAp1T4RkwZg1S_7L9JAViWtBZfAG"),
]
disk_data_filename_to_file_id = [ # pylint: disable=unused-variable
("./data/sparse_reconstruction_and_nerf_data/ELR-apartment-disk.zip", "1YcTwMv5PP0uqXYdN-Lp8k0WnXUdHBXrY"),
("./data/sparse_reconstruction_and_nerf_data/Frasier-apartment-disk.zip", "1vPqplDv5rrFu5LrxTHbET0FiePTGi8zE"),
(
"./data/sparse_reconstruction_and_nerf_data/Friends-monica_apartment-disk.zip",
"1yNpU4M44gIuWEaC5tSAOKy-A6KX8wTm8",
),
(
"./data/sparse_reconstruction_and_nerf_data/HIMYM-red_apartment-disk.zip",
"1m76i46YYlpDKvlx-Jn7qDDAvkOVVVmqF",
),
(
"./data/sparse_reconstruction_and_nerf_data/Seinfeld-jerry_living_room-disk.zip",
"1YFoV3Gd9asKsRarZvzRTYtri1755rBPx",
),
("./data/sparse_reconstruction_and_nerf_data/TAAHM-kitchen-disk.zip", "1QpF8kVGfgkqm_cDY5sY_E82BT8VOWL38"),
(
"./data/sparse_reconstruction_and_nerf_data/TBBT-big_living_room-disk.zip",
"175BjkpxMAOt75ZVIjYpArxWpO8uRexgJ",
),
]
# !!! Large files !!! Only uncomment if you need the disk correspondences.
# data_filename_to_file_id += disk_data_filename_to_file_id
for data_filename, file_id in data_filename_to_file_id:
# Download the files
url = f"https://drive.google.com/uc?id={file_id}"
gdown.download(url, output=data_filename, quiet=False)
with zipfile.ZipFile(data_filename, "r") as zip_ref:
zip_ref.extractall(data_filename.replace(".zip", "").replace("-disk", ""))
Path(data_filename).unlink(missing_ok=True)
console = Console(width=120)
def download_blender():
"""Download blender dataset and format accordingly"""
url = "https://drive.google.com/uc?id=18JxhpWD-4ZmuFKLzKlAw-w5PpzZxXOcG"
"""Download the blender dataset."""
# https://drive.google.com/uc?id=18JxhpWD-4ZmuFKLzKlAw-w5PpzZxXOcG
blender_file_id = "18JxhpWD-4ZmuFKLzKlAw-w5PpzZxXOcG"
url = f"https://drive.google.com/uc?id={blender_file_id}"
download_path = Path("data/blender_data.zip")
gdown.download(url, output=str(download_path), quiet=False)
with zipfile.ZipFile(download_path, "r") as zip_ref:
@@ -70,19 +30,51 @@ def download_blender():
download_path.unlink(missing_ok=True)
def download_nerfactory(dataset_name: str):
"""Download a zipped nerfactory dataset"""
url = f"https://drive.google.com/uc?id={nerfactory_file_ids[dataset_name]}"
download_path = Path(f"data/{dataset_name}.zip")
def download_friends():
"""Download the friends dataset."""
# https://drive.google.com/file/d/1sgKr0ZO7BQC0FYinAnRSxobIWNucAST5/view?usp=sharing
friends_file_id = "1sgKr0ZO7BQC0FYinAnRSxobIWNucAST5"
# Download the files
url = f"https://drive.google.com/uc?id={friends_file_id}"
download_path = "data/friends.zip"
gdown.download(url, output=download_path, quiet=False)
with zipfile.ZipFile(download_path, "r") as zip_ref:
zip_ref.extractall("data/")
os.remove(download_path)
# https://drive.google.com/drive/folders/1Wh66z3qQTZ8o2MwPPwYOrdwQtXUEQFyq?usp=sharing
nerfstudio_file_ids = {
"dozer": "1-OR5F_V5S4s-yzxohbwTylaXjzYLu8ZR",
"sf_street": "1DbLyptL6my2QprEVtYuW2uzgp9JAK5Wz",
"poster": "1dmjWGXlJnUxwosN6MVooCDQe970PkD-1",
}
def download_nerfstudio(capture_name: str):
"""Download specific captures from the nerfstudio dataset."""
url = f"https://drive.google.com/uc?id={nerfstudio_file_ids[capture_name]}"
target_path = f"data/nerfstudio/{capture_name}"
os.makedirs(target_path, exist_ok=True)
download_path = Path(f"{target_path}.zip")
gdown.download(url, output=str(download_path), quiet=False)
with zipfile.ZipFile(download_path, "r") as zip_ref:
zip_ref.extractall(f"data/ours/{dataset_name}")
download_path.unlink(missing_ok=True)
zip_ref.extractall(f"/tmp/{target_path}")
inner_folders = os.listdir(f"/tmp/{target_path}")
assert len(inner_folders) == 1, "There is more than one folder inside this zip file."
folder = os.path.join(f"/tmp/{target_path}", inner_folders[0])
shutil.rmtree(target_path)
shutil.move(folder, target_path)
shutil.rmtree(f"/tmp/{target_path}")
os.remove(download_path)
def main(
dataset: Literal["blender", "friends", "nerfactory"],
dataset_name: Optional[str] = None,
dataset: Literal["blender", "friends", "nerfstudio"],
capture_name: Optional[str] = None,
):
"""Main download script to download all data"""
save_dir = Path("data/")
@@ -92,12 +84,19 @@ def main(
download_blender()
if dataset == "friends":
download_friends()
if dataset == "nerfactory":
if dataset_name is None or dataset_name not in nerfactory_file_ids:
raise ValueError(
f"must pass in dataset_name when downloading nerfactory data, options: {nerfactory_file_ids.keys()}"
if dataset == "nerfstudio":
if capture_name is None:
capture_names = sorted(nerfstudio_file_ids.keys())
console.print(
"[bold yellow]You must pass in --capture-name when downloading from the nerfstudio dataset."
f" Use one of the following: \n\t {capture_names}"
)
download_nerfactory(dataset_name)
sys.exit()
if capture_name not in nerfstudio_file_ids:
capture_names = sorted(nerfstudio_file_ids.keys())
console.print(f"[bold yellow]Invalid --capture-name choice. Use one of the following: \n {capture_names}")
sys.exit()
download_nerfstudio(capture_name)
def entrypoint():
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@@ -415,6 +415,7 @@ def main(
summary_log = []
if data.is_file():
if not verbose:
with CONSOLE.status("[bold yellow]Converting video to images...", spinner="bouncingBall"):
num_vid_frames, num_frames = convert_video_to_images(