Unverified Commit 8751c079 authored by ChaimZhu's avatar ChaimZhu Committed by GitHub
Browse files

update browse_dataset (#1817)

parent f9e5e98f
......@@ -2,28 +2,27 @@
import argparse
from os import path as osp
import mmengine
from mmengine import Config, DictAction, mkdir_or_exist
from mmengine.config import Config, DictAction
from mmengine.utils import ProgressBar, mkdir_or_exist
from mmdet3d.datasets import build_dataset
from mmdet3d.registry import VISUALIZERS
from mmdet3d.utils import register_all_modules
from mmdet3d.registry import DATASETS, VISUALIZERS
from mmdet3d.utils import register_all_modules, replace_ceph_backend
def parse_args():
parser = argparse.ArgumentParser(description='Browse a dataset')
parser.add_argument('config', help='train config file path')
parser.add_argument(
'--skip-type',
type=str,
nargs='+',
default=['Normalize'],
help='skip some useless pipeline')
parser.add_argument(
'--output-dir',
default=None,
type=str,
help='If there is no display interface, you can save it')
parser.add_argument('--not-show', default=False, action='store_true')
parser.add_argument(
'--show-interval',
type=float,
default=2,
help='the interval of show (s)')
parser.add_argument(
'--task',
type=str,
......@@ -34,10 +33,7 @@ def parse_args():
action='store_true',
help='Whether to visualize augmented datasets or original dataset.')
parser.add_argument(
'--online',
action='store_true',
help='Whether to perform online visualization. Note that you often '
'need a monitor to do so.')
'--ceph', action='store_true', help='Use ceph as data storage backend')
parser.add_argument(
'--cfg-options',
nargs='+',
......@@ -52,20 +48,22 @@ def parse_args():
return args
def build_data_cfg(config_path, skip_type, aug, cfg_options):
def build_data_cfg(config_path, aug, cfg_options):
"""Build data config for loading visualization data."""
cfg = Config.fromfile(config_path)
if cfg_options is not None:
cfg.merge_from_dict(cfg_options)
# extract inner dataset of `RepeatDataset` as `cfg.data.train`
# so we don't need to worry about it later
if cfg.data.train['type'] == 'RepeatDataset':
cfg.data.train = cfg.data.train.dataset
# extract inner dataset of `RepeatDataset` as
# `cfg.train_dataloader.dataset` so we don't
# need to worry about it later
if cfg.train_dataloader.dataset['type'] == 'RepeatDataset':
cfg.train_dataloader.dataset = cfg.train_dataloader.dataset.dataset
# use only first dataset for `ConcatDataset`
if cfg.data.train['type'] == 'ConcatDataset':
cfg.data.train = cfg.data.train.datasets[0]
train_data_cfg = cfg.data.train
if cfg.train_dataloader.dataset['type'] == 'ConcatDataset':
cfg.train_dataloader.dataset = cfg.train_dataloader.dataset.datasets[0]
train_data_cfg = cfg.train_dataloader.dataset
if aug:
show_pipeline = cfg.train_pipeline
......@@ -74,16 +72,14 @@ def build_data_cfg(config_path, skip_type, aug, cfg_options):
for i in range(len(cfg.train_pipeline)):
if cfg.train_pipeline[i]['type'] == 'LoadAnnotations3D':
show_pipeline.insert(i, cfg.train_pipeline[i])
# Collect points as well as labels
if cfg.train_pipeline[i]['type'] == 'Pack3DInputs':
if show_pipeline[-1]['type'] == 'Pack3DInputs':
# Collect data as well as labels
if cfg.train_pipeline[i]['type'] == 'Pack3DDetInputs':
if show_pipeline[-1]['type'] == 'Pack3DDetInputs':
show_pipeline[-1] = cfg.train_pipeline[i]
else:
show_pipeline.append(cfg.train_pipeline[i])
train_data_cfg['pipeline'] = [
x for x in show_pipeline if x['type'] not in skip_type
]
train_data_cfg['pipeline'] = show_pipeline
return cfg
......@@ -94,18 +90,21 @@ def main():
if args.output_dir is not None:
mkdir_or_exist(args.output_dir)
cfg = build_data_cfg(args.config, args.skip_type, args.aug,
args.cfg_options)
cfg = build_data_cfg(args.config, args.aug, args.cfg_options)
# TODO: We will unify the ceph support approach with other OpenMMLab repos
if args.ceph:
cfg = replace_ceph_backend(cfg)
# register all modules in mmdet3d into the registries
register_all_modules()
try:
dataset = build_dataset(
dataset = DATASETS.build(
cfg.train_dataloader.dataset,
default_args=dict(filter_empty_gt=False))
except TypeError: # seg dataset doesn't have `filter_empty_gt` key
dataset = build_dataset(cfg.train_dataloader.dataset)
dataset = DATASETS.build(cfg.train_dataloader.dataset)
# configure visualization mode
vis_task = args.task # 'det', 'seg', 'multi_modality-det', 'mono-det'
......@@ -113,7 +112,7 @@ def main():
visualizer = VISUALIZERS.build(cfg.visualizer)
visualizer.dataset_meta = dataset.metainfo
progress_bar = mmengine.ProgressBar(len(dataset))
progress_bar = ProgressBar(len(dataset))
for item in dataset:
# the 3D Boxes in input could be in any of three coordinates
......@@ -126,7 +125,7 @@ def main():
visualizer.add_datasample(
'3d visualzier',
data_input,
data_sample,
data_sample=data_sample,
show=not args.not_show,
wait_time=args.show_interval,
out_file=out_file,
......
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