mirror of https://github.com/open-mmlab/mmocr.git
[Tool] Add browse_dataset
parent
a379d086f1
commit
22d90301b8
tools/misc
|
@ -0,0 +1,77 @@
|
|||
# Copyright (c) OpenMMLab. All rights reserved.
|
||||
import argparse
|
||||
import os.path as osp
|
||||
|
||||
import mmcv
|
||||
from mmcv import Config, DictAction
|
||||
|
||||
from mmocr.registry import DATASETS, VISUALIZERS
|
||||
from mmocr.utils import register_all_modules
|
||||
|
||||
|
||||
def parse_args():
|
||||
parser = argparse.ArgumentParser(description='Browse a dataset')
|
||||
parser.add_argument('config', help='Train config file path')
|
||||
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(
|
||||
'--cfg-options',
|
||||
nargs='+',
|
||||
action=DictAction,
|
||||
help='Override some settings in the used config, the key-value pair '
|
||||
'in xxx=yyy format will be merged into config file. If the value to '
|
||||
'be overwritten is a list, it should be like key="[a,b]" or key=a,b '
|
||||
'It also allows nested list/tuple values, e.g. key="[(a,b),(c,d)]" '
|
||||
'Note that the quotation marks are necessary and that no white space '
|
||||
'is allowed.')
|
||||
args = parser.parse_args()
|
||||
return args
|
||||
|
||||
|
||||
def main():
|
||||
|
||||
args = parse_args()
|
||||
cfg = Config.fromfile(args.config)
|
||||
if args.cfg_options is not None:
|
||||
cfg.merge_from_dict(args.cfg_options)
|
||||
|
||||
# register all modules in mmocr into the registries
|
||||
register_all_modules()
|
||||
|
||||
dataset = DATASETS.build(cfg.train_dataloader.dataset)
|
||||
visualizer = VISUALIZERS.build(cfg.visualizer)
|
||||
|
||||
progress_bar = mmcv.ProgressBar(len(dataset))
|
||||
for item in dataset:
|
||||
img = item['inputs'].permute(1, 2, 0).numpy()
|
||||
data_sample = item['data_sample'].numpy()
|
||||
img_path = osp.basename(item['data_sample'].img_path)
|
||||
out_file = osp.join(args.output_dir,
|
||||
img_path) if args.output_dir is not None else None
|
||||
|
||||
if img.ndim == 3 and img.shape[-1] == 3:
|
||||
img = img[..., [2, 1, 0]] # bgr to rgb
|
||||
|
||||
visualizer.add_datasample(
|
||||
name=osp.basename(img_path),
|
||||
image=img,
|
||||
gt_sample=data_sample,
|
||||
draw_pred=False,
|
||||
show=not args.not_show,
|
||||
wait_time=args.show_interval,
|
||||
out_file=out_file)
|
||||
|
||||
progress_bar.update()
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
Loading…
Reference in New Issue