# All modification made by Kneron Corp.: Copyright (c) 2022 Kneron Corp. # Copyright (c) OpenMMLab. All rights reserved. import argparse import os import shutil import warnings import mmcv import torch from mmcv.runner import get_dist_info from mmcv.utils import DictAction from mmseg.apis import single_gpu_test from mmseg.datasets import build_dataloader, build_dataset from mmseg.models.segmentors.base import ONNXRuntimeSegmentorKN def parse_args() -> argparse.Namespace: parser = argparse.ArgumentParser( description='mmseg backend test (and eval)') parser.add_argument('config', help='test config file path') parser.add_argument('model', help='Input model file (onnx only)') parser.add_argument('--out', help='output result file in pickle format') parser.add_argument( '--format-only', action='store_true', help='Format the output results without perform evaluation. It is' 'useful when you want to format the result to a specific format and ' 'submit it to the test server') parser.add_argument( '--eval', type=str, nargs='+', help='evaluation metrics, which depends on the dataset, e.g., "mIoU"' ' for generic datasets, and "cityscapes" for Cityscapes') parser.add_argument('--show', action='store_true', help='show results') parser.add_argument( '--show-dir', help='directory where painted images will be saved') parser.add_argument( '--options', nargs='+', action=DictAction, help="--options is deprecated in favor of --cfg_options' and it will " 'not be supported in version v0.22.0. 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.') 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.') parser.add_argument( '--eval-options', nargs='+', action=DictAction, help='custom options for evaluation') parser.add_argument( '--opacity', type=float, default=0.5, help='Opacity of painted segmentation map. In (0, 1] range.') parser.add_argument( '--shape', type=int, nargs='+', default=None, help='input image height and width.') parser.add_argument('--local_rank', type=int, default=0) args = parser.parse_args() if 'LOCAL_RANK' not in os.environ: os.environ['LOCAL_RANK'] = str(args.local_rank) if args.options and args.cfg_options: raise ValueError( '--options and --cfg-options cannot be both ' 'specified, --options is deprecated in favor of --cfg-options. ' '--options will not be supported in version v0.22.0.') if args.options: warnings.warn('--options is deprecated in favor of --cfg-options. ' '--options will not be supported in version v0.22.0.') args.cfg_options = args.options return args def main(): args = parse_args() assert args.out or args.eval or args.format_only or args.show \ or args.show_dir, \ ('Please specify at least one operation (save/eval/format/show the ' 'results / save the results) with the argument "--out", "--eval"' ', "--format-only", "--show" or "--show-dir"') if args.eval and args.format_only: raise ValueError('--eval and --format_only cannot be both specified') if args.out is not None and not args.out.endswith(('.pkl', '.pickle')): raise ValueError('The output file must be a pkl file.') cfg = mmcv.Config.fromfile(args.config) if args.cfg_options is not None: cfg.merge_from_dict(args.cfg_options) cfg.model.pretrained = None cfg.data.test.test_mode = True if args.shape is not None: if len(args.shape) == 1: shape = (args.shape[0], args.shape[0]) elif len(args.shape) == 2: shape = (args.shape[1], args.shape[0]) else: raise ValueError('invalid input shape') test_mode = cfg.model.test_cfg.mode if test_mode == 'slide': warnings.warn( "We suggest you NOT assigning shape when exporting " "slide-mode models. Assigning shape to slide-mode models " "may result in unexpected results. To see which mode the " "model is using, check cfg.model.test_cfg.mode, which " "should be either 'whole' or 'slide'." ) cfg.model.test_cfg['crop_size'] = shape else: cfg.test_pipeline[1]['img_scale'] = shape cfg.data.test['pipeline'][1]['img_scale'] = shape # init distributed env first, since logger depends on the dist info. distributed = False # build the dataloader # TODO: support multiple images per gpu (only minor changes are needed) dataset = build_dataset(cfg.data.test) data_loader = build_dataloader( dataset, samples_per_gpu=1, workers_per_gpu=cfg.data.workers_per_gpu, dist=distributed, shuffle=False) # load onnx config and meta cfg.model.train_cfg = None model = ONNXRuntimeSegmentorKN(args.model, cfg=cfg, device_id=0) model.CLASSES = dataset.CLASSES model.PALETTE = dataset.PALETTE # clean gpu memory when starting a new evaluation. torch.cuda.empty_cache() eval_kwargs = {} if args.eval_options is None else args.eval_options # Deprecated efficient_test = eval_kwargs.get('efficient_test', False) if efficient_test: warnings.warn( '``efficient_test=True`` does not have effect in tools/test_kneron.py, ' 'the evaluation and format results are CPU memory efficient by ' 'default') eval_on_format_results = ( args.eval is not None and 'cityscapes' in args.eval) if eval_on_format_results: assert len(args.eval) == 1, 'eval on format results is not ' \ 'applicable for metrics other than ' \ 'cityscapes' if args.format_only or eval_on_format_results: if 'imgfile_prefix' in eval_kwargs: tmpdir = eval_kwargs['imgfile_prefix'] else: tmpdir = '.format_cityscapes' eval_kwargs.setdefault('imgfile_prefix', tmpdir) mmcv.mkdir_or_exist(tmpdir) else: tmpdir = None results = single_gpu_test( model, data_loader, args.show, args.show_dir, False, args.opacity, pre_eval=args.eval is not None and not eval_on_format_results, format_only=args.format_only or eval_on_format_results, format_args=eval_kwargs) rank, _ = get_dist_info() if rank == 0: if args.out: warnings.warn( 'The behavior of ``args.out`` has been changed since MMSeg ' 'v0.16, the pickled outputs could be seg map as type of ' 'np.array, pre-eval results or file paths for ' '``dataset.format_results()``.') print(f'\nwriting results to {args.out}') mmcv.dump(results, args.out) if args.eval: dataset.evaluate(results, args.eval, **eval_kwargs) if tmpdir is not None and eval_on_format_results: # remove tmp dir when cityscapes evaluation shutil.rmtree(tmpdir) if __name__ == '__main__': main()