Python mmdet.datasets() Examples

The following are 30 code examples of mmdet.datasets(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module mmdet , or try the search function .
Example #1
Source File: voc_eval.py    From hrnet with MIT License 5 votes vote down vote up 
def main():
    parser = ArgumentParser(description='VOC Evaluation')
    parser.add_argument('result', help='result file path')
    parser.add_argument('config', help='config file path')
    parser.add_argument(
        '--iou-thr',
        type=float,
        default=0.5,
        help='IoU threshold for evaluation')
    args = parser.parse_args()
    cfg = mmcv.Config.fromfile(args.config)
    test_dataset = mmcv.runner.obj_from_dict(cfg.data.test, datasets)
    voc_eval(args.result, test_dataset, args.iou_thr)
Example #2
Source File: voc_eval.py    From Libra_R-CNN with Apache License 2.0 5 votes vote down vote up 
def main():
    parser = ArgumentParser(description='VOC Evaluation')
    parser.add_argument('result', help='result file path')
    parser.add_argument('config', help='config file path')
    parser.add_argument(
        '--iou-thr',
        type=float,
        default=0.5,
        help='IoU threshold for evaluation')
    args = parser.parse_args()
    cfg = mmcv.Config.fromfile(args.config)
    test_dataset = mmcv.runner.obj_from_dict(cfg.data.test, datasets)
    voc_eval(args.result, test_dataset, args.iou_thr)
Example #3
Source File: voc_eval.py    From FoveaBox with Apache License 2.0 5 votes vote down vote up 
def main():
    parser = ArgumentParser(description='VOC Evaluation')
    parser.add_argument('result', help='result file path')
    parser.add_argument('config', help='config file path')
    parser.add_argument(
        '--iou-thr',
        type=float,
        default=0.5,
        help='IoU threshold for evaluation')
    args = parser.parse_args()
    cfg = mmcv.Config.fromfile(args.config)
    test_dataset = mmcv.runner.obj_from_dict(cfg.data.test, datasets)
    voc_eval(args.result, test_dataset, args.iou_thr)
Example #4
Source File: voc_eval.py    From FNA with Apache License 2.0 5 votes vote down vote up 
def main():
    parser = ArgumentParser(description='VOC Evaluation')
    parser.add_argument('result', help='result file path')
    parser.add_argument('config', help='config file path')
    parser.add_argument(
        '--iou-thr',
        type=float,
        default=0.5,
        help='IoU threshold for evaluation')
    args = parser.parse_args()
    cfg = mmcv.Config.fromfile(args.config)
    test_dataset = mmcv.runner.obj_from_dict(cfg.data.test, datasets)
    voc_eval(args.result, test_dataset, args.iou_thr)
Example #5
Source File: voc_eval.py    From Cascade-RPN with Apache License 2.0 5 votes vote down vote up 
def main():
    parser = ArgumentParser(description='VOC Evaluation')
    parser.add_argument('result', help='result file path')
    parser.add_argument('config', help='config file path')
    parser.add_argument(
        '--iou-thr',
        type=float,
        default=0.5,
        help='IoU threshold for evaluation')
    args = parser.parse_args()
    cfg = mmcv.Config.fromfile(args.config)
    test_dataset = mmcv.runner.obj_from_dict(cfg.data.test, datasets)
    voc_eval(args.result, test_dataset, args.iou_thr)
Example #6
Source File: voc_eval.py    From Feature-Selective-Anchor-Free-Module-for-Single-Shot-Object-Detection with Apache License 2.0 5 votes vote down vote up 
def main():
    parser = ArgumentParser(description='VOC Evaluation')
    parser.add_argument('result', help='result file path')
    parser.add_argument('config', help='config file path')
    parser.add_argument(
        '--iou-thr',
        type=float,
        default=0.5,
        help='IoU threshold for evaluation')
    args = parser.parse_args()
    cfg = mmcv.Config.fromfile(args.config)
    test_dataset = mmcv.runner.obj_from_dict(cfg.data.test, datasets)
    voc_eval(args.result, test_dataset, args.iou_thr)
Example #7
Source File: eval_hooks.py    From kaggle-imaterialist with MIT License 5 votes vote down vote up 
def __init__(self, dataset, interval=1):
        if isinstance(dataset, Dataset):
            self.dataset = dataset
        elif isinstance(dataset, dict):
            self.dataset = obj_from_dict(dataset, datasets,
                                         {'test_mode': True})
        else:
            raise TypeError(
                'dataset must be a Dataset object or a dict, not {}'.format(
                    type(dataset)))
        self.interval = interval
Example #8
Source File: voc_eval.py    From kaggle-imaterialist with MIT License 5 votes vote down vote up 
def main():
    parser = ArgumentParser(description='VOC Evaluation')
    parser.add_argument('result', help='result file path')
    parser.add_argument('config', help='config file path')
    parser.add_argument(
        '--iou-thr',
        type=float,
        default=0.5,
        help='IoU threshold for evaluation')
    args = parser.parse_args()
    cfg = mmcv.Config.fromfile(args.config)
    test_dataset = mmcv.runner.obj_from_dict(cfg.data.test, datasets)
    voc_eval(args.result, test_dataset, args.iou_thr)
Example #9
Source File: eval_hooks.py    From hrnet with MIT License 5 votes vote down vote up 
def __init__(self, dataset, interval=1):
        if isinstance(dataset, Dataset):
            self.dataset = dataset
        elif isinstance(dataset, dict):
            self.dataset = obj_from_dict(dataset, datasets,
                                         {'test_mode': True})
        else:
            raise TypeError(
                'dataset must be a Dataset object or a dict, not {}'.format(
                    type(dataset)))
        self.interval = interval
Example #10
Source File: eval_hooks.py    From Libra_R-CNN with Apache License 2.0 5 votes vote down vote up 
def __init__(self, dataset, interval=1):
        if isinstance(dataset, Dataset):
            self.dataset = dataset
        elif isinstance(dataset, dict):
            self.dataset = obj_from_dict(dataset, datasets,
                                         {'test_mode': True})
        else:
            raise TypeError(
                'dataset must be a Dataset object or a dict, not {}'.format(
                    type(dataset)))
        self.interval = interval
Example #11
Source File: eval_hooks.py    From CenterNet with Apache License 2.0 5 votes vote down vote up 
def __init__(self, dataset, interval=1):
        if isinstance(dataset, Dataset):
            self.dataset = dataset
        elif isinstance(dataset, dict):
            self.dataset = obj_from_dict(dataset, datasets,
                                         {'test_mode': True})
        else:
            raise TypeError(
                'dataset must be a Dataset object or a dict, not {}'.format(
                    type(dataset)))
        self.interval = interval
Example #12
Source File: voc_eval.py    From CenterNet with Apache License 2.0 5 votes vote down vote up 
def main():
    parser = ArgumentParser(description='VOC Evaluation')
    parser.add_argument('result', help='result file path')
    parser.add_argument('config', help='config file path')
    parser.add_argument(
        '--iou-thr',
        type=float,
        default=0.5,
        help='IoU threshold for evaluation')
    args = parser.parse_args()
    cfg = mmcv.Config.fromfile(args.config)
    test_dataset = mmcv.runner.obj_from_dict(cfg.data.test, datasets)
    voc_eval(args.result, test_dataset, args.iou_thr)
Example #13
Source File: renche_eval.py    From CenterNet with Apache License 2.0 5 votes vote down vote up 
def main():
    parser = ArgumentParser(description='TXT Evaluation')
    parser.add_argument('result', help='result file path')
    parser.add_argument('config', help='config file path')
    parser.add_argument(
        '--iou-thr',
        type=float,
        default=0.5,
        help='IoU threshold for evaluation')
    args = parser.parse_args()
    cfg = mmcv.Config.fromfile(args.config)
    test_dataset = mmcv.runner.obj_from_dict(cfg.data.test, datasets)
    txt_eval(args.result, test_dataset, args.iou_thr)
Example #14
Source File: txt_eval.py    From CenterNet with Apache License 2.0 5 votes vote down vote up 
def main():
    parser = ArgumentParser(description='TXT Evaluation')
    parser.add_argument('result', help='result file path')
    parser.add_argument('config', help='config file path')
    parser.add_argument(
        '--iou-thr',
        type=float,
        default=0.5,
        help='IoU threshold for evaluation')
    args = parser.parse_args()
    cfg = mmcv.Config.fromfile(args.config)
    test_dataset = mmcv.runner.obj_from_dict(cfg.data.test, datasets)
    txt_eval(args.result, test_dataset, args.iou_thr)
Example #15
Source File: voc_eval.py    From ttfnet with Apache License 2.0 5 votes vote down vote up 
def main():
    parser = ArgumentParser(description='VOC Evaluation')
    parser.add_argument('result', help='result file path')
    parser.add_argument('config', help='config file path')
    parser.add_argument(
        '--iou-thr',
        type=float,
        default=0.5,
        help='IoU threshold for evaluation')
    args = parser.parse_args()
    cfg = mmcv.Config.fromfile(args.config)
    test_dataset = mmcv.runner.obj_from_dict(cfg.data.test, datasets)
    voc_eval(args.result, test_dataset, args.iou_thr)
Example #16
Source File: eval_hooks.py    From AugFPN with Apache License 2.0 5 votes vote down vote up 
def __init__(self, dataset, interval=1):
        if isinstance(dataset, Dataset):
            self.dataset = dataset
        elif isinstance(dataset, dict):
            self.dataset = obj_from_dict(dataset, datasets,
                                         {'test_mode': True})
        else:
            raise TypeError(
                'dataset must be a Dataset object or a dict, not {}'.format(
                    type(dataset)))
        self.interval = interval
        self.lock_dir = None
Example #17
Source File: voc_eval.py    From AugFPN with Apache License 2.0 5 votes vote down vote up 
def main():
    parser = ArgumentParser(description='VOC Evaluation')
    parser.add_argument('result', help='result file path')
    parser.add_argument('config', help='config file path')
    parser.add_argument(
        '--iou-thr',
        type=float,
        default=0.5,
        help='IoU threshold for evaluation')
    args = parser.parse_args()
    cfg = mmcv.Config.fromfile(args.config)
    test_dataset = mmcv.runner.obj_from_dict(cfg.data.test, datasets)
    voc_eval(args.result, test_dataset, args.iou_thr)
Example #18
Source File: voc_eval.py    From kaggle-kuzushiji-recognition with MIT License 5 votes vote down vote up 
def main():
    parser = ArgumentParser(description='VOC Evaluation')
    parser.add_argument('result', help='result file path')
    parser.add_argument('config', help='config file path')
    parser.add_argument(
        '--iou-thr',
        type=float,
        default=0.5,
        help='IoU threshold for evaluation')
    args = parser.parse_args()
    cfg = mmcv.Config.fromfile(args.config)
    test_dataset = mmcv.runner.obj_from_dict(cfg.data.test, datasets)
    voc_eval(args.result, test_dataset, args.iou_thr)
Example #19
Source File: voc_eval.py    From AerialDetection with Apache License 2.0 5 votes vote down vote up 
def main():
    parser = ArgumentParser(description='VOC Evaluation')
    parser.add_argument('result', help='result file path')
    parser.add_argument('config', help='config file path')
    parser.add_argument(
        '--iou-thr',
        type=float,
        default=0.5,
        help='IoU threshold for evaluation')
    args = parser.parse_args()
    cfg = mmcv.Config.fromfile(args.config)
    test_dataset = mmcv.runner.obj_from_dict(cfg.data.test, datasets)
    voc_eval(args.result, test_dataset, args.iou_thr)
Example #20
Source File: eval_hooks.py    From GCNet with Apache License 2.0 5 votes vote down vote up 
def __init__(self, dataset, interval=1):
        if isinstance(dataset, Dataset):
            self.dataset = dataset
        elif isinstance(dataset, dict):
            self.dataset = obj_from_dict(dataset, datasets,
                                         {'test_mode': True})
        else:
            raise TypeError(
                'dataset must be a Dataset object or a dict, not {}'.format(
                    type(dataset)))
        self.interval = interval
Example #21
Source File: voc_eval.py    From GCNet with Apache License 2.0 5 votes vote down vote up 
def main():
    parser = ArgumentParser(description='VOC Evaluation')
    parser.add_argument('result', help='result file path')
    parser.add_argument('config', help='config file path')
    parser.add_argument(
        '--iou-thr',
        type=float,
        default=0.5,
        help='IoU threshold for evaluation')
    args = parser.parse_args()
    cfg = mmcv.Config.fromfile(args.config)
    test_dataset = mmcv.runner.obj_from_dict(cfg.data.test, datasets)
    voc_eval(args.result, test_dataset, args.iou_thr)
Example #22
Source File: eval_hooks.py    From mmdetection-annotated with Apache License 2.0 5 votes vote down vote up 
def __init__(self, dataset, interval=1):
        if isinstance(dataset, Dataset):
            self.dataset = dataset
        elif isinstance(dataset, dict):
            self.dataset = obj_from_dict(dataset, datasets,
                                         {'test_mode': True})
        else:
            raise TypeError(
                'dataset must be a Dataset object or a dict, not {}'.format(
                    type(dataset)))
        self.interval = interval
Example #23
Source File: voc_eval.py    From mmdetection-annotated with Apache License 2.0 5 votes vote down vote up 
def main():
    parser = ArgumentParser(description='VOC Evaluation')
    parser.add_argument('result', help='result file path')
    parser.add_argument('config', help='config file path')
    parser.add_argument(
        '--iou-thr',
        type=float,
        default=0.5,
        help='IoU threshold for evaluation')
    args = parser.parse_args()
    cfg = mmcv.Config.fromfile(args.config)
    test_dataset = mmcv.runner.obj_from_dict(cfg.data.test, datasets)
    voc_eval(args.result, test_dataset, args.iou_thr)
Example #24
Source File: eval_hooks.py    From mmdetection_with_SENet154 with Apache License 2.0 5 votes vote down vote up 
def __init__(self, dataset, interval=1):
        if isinstance(dataset, Dataset):
            self.dataset = dataset
        elif isinstance(dataset, dict):
            self.dataset = obj_from_dict(dataset, datasets,
                                         {'test_mode': True})
        else:
            raise TypeError(
                'dataset must be a Dataset object or a dict, not {}'.format(
                    type(dataset)))
        self.interval = interval
Example #25
Source File: voc_eval.py    From mmdetection_with_SENet154 with Apache License 2.0 5 votes vote down vote up 
def main():
    parser = ArgumentParser(description='VOC Evaluation')
    parser.add_argument('result', help='result file path')
    parser.add_argument('config', help='config file path')
    parser.add_argument(
        '--iou-thr',
        type=float,
        default=0.5,
        help='IoU threshold for evaluation')
    args = parser.parse_args()
    cfg = mmcv.Config.fromfile(args.config)
    test_dataset = mmcv.runner.obj_from_dict(cfg.data.test, datasets)
    voc_eval(args.result, test_dataset, args.iou_thr)
Example #26
Source File: voc_eval.py    From PolarMask with Apache License 2.0 5 votes vote down vote up 
def main():
    parser = ArgumentParser(description='VOC Evaluation')
    parser.add_argument('result', help='result file path')
    parser.add_argument('config', help='config file path')
    parser.add_argument(
        '--iou-thr',
        type=float,
        default=0.5,
        help='IoU threshold for evaluation')
    args = parser.parse_args()
    cfg = mmcv.Config.fromfile(args.config)
    test_dataset = mmcv.runner.obj_from_dict(cfg.data.test, datasets)
    voc_eval(args.result, test_dataset, args.iou_thr)
Example #27
Source File: eval_hooks.py    From AerialDetection with Apache License 2.0 5 votes vote down vote up 
def __init__(self, dataset, interval=1):
        if isinstance(dataset, Dataset):
            self.dataset = dataset
        elif isinstance(dataset, dict):
            self.dataset = obj_from_dict(dataset, datasets,
                                         {'test_mode': True})
        else:
            raise TypeError(
                'dataset must be a Dataset object or a dict, not {}'.format(
                    type(dataset)))
        self.interval = interval
Example #28
Source File: eval_hooks.py    From Grid-R-CNN with Apache License 2.0 5 votes vote down vote up 
def __init__(self, dataset, interval=1):
        if isinstance(dataset, Dataset):
            self.dataset = dataset
        elif isinstance(dataset, dict):
            self.dataset = obj_from_dict(dataset, datasets,
                                         {'test_mode': True})
        else:
            raise TypeError(
                'dataset must be a Dataset object or a dict, not {}'.format(
                    type(dataset)))
        self.interval = interval
Example #29
Source File: voc_eval.py    From Grid-R-CNN with Apache License 2.0 5 votes vote down vote up 
def main():
    parser = ArgumentParser(description='VOC Evaluation')
    parser.add_argument('result', help='result file path')
    parser.add_argument('config', help='config file path')
    parser.add_argument(
        '--iou-thr',
        type=float,
        default=0.5,
        help='IoU threshold for evaluation')
    args = parser.parse_args()
    cfg = mmcv.Config.fromfile(args.config)
    test_dataset = mmcv.runner.obj_from_dict(cfg.data.test, datasets)
    voc_eval(args.result, test_dataset, args.iou_thr)
Example #30
Source File: voc_eval_visualize.py    From mmdetection_visualize with MIT License 5 votes vote down vote up 
def main():
    parser = ArgumentParser(description='VOC Evaluation')
    parser.add_argument('result', help='result file path')
    parser.add_argument('config', help='config file path')
    parser.add_argument(
        '--iou-thr',
        type=float,
        default=0.5,
        help='IoU threshold for evaluation')
    args = parser.parse_args()
    cfg = mmcv.Config.fromfile(args.config)
    test_dataset = mmcv.runner.obj_from_dict(cfg.data.test, datasets)
    voc_eval(args.result, test_dataset, args.iou_thr)