1. def get_dataset(data_cfg): if data_cfg['type'] == 'RepeatDataset': return RepeatDataset( get_dataset(data_cfg['dataset']), data_cfg['times']) if isinstance(data_cfg['ann_file'], (list, tuple)): ann_files = data_cfg['ann_file'] num_dset = len(ann_files) else: ann_files = [data_cfg['ann_file']] num_dset = 1 When stared CGCDet-master/tools/train.py, the result of num_dset is 1, how to set batch_size=2? 2. When stared CGCDet-master/tools/test_robustness.py File "CGCDet-master/mmdet/models/detectors/base_new.py", line 98, in forward_test return self.simple_test(imgs[0], img_metas[0],scale_factor, **kwargs) TypeError: simple_test() got an unexpected keyword argument 'gt_bboxes' 3. How we calculate the FPS or time of inference by test datasets?
def get_dataset(data_cfg):
if data_cfg['type'] == 'RepeatDataset':
return RepeatDataset(
get_dataset(data_cfg['dataset']), data_cfg['times'])
if isinstance(data_cfg['ann_file'], (list, tuple)):
ann_files = data_cfg['ann_file']
num_dset = len(ann_files)
else:
ann_files = [data_cfg['ann_file']]
num_dset = 1
When stared CGCDet-master/tools/train.py, the result of num_dset is 1, how to set batch_size=2?
When stared CGCDet-master/tools/test_robustness.py
File "CGCDet-master/mmdet/models/detectors/base_new.py", line 98, in forward_test
return self.simple_test(imgs[0], img_metas[0],scale_factor, **kwargs)
TypeError: simple_test() got an unexpected keyword argument 'gt_bboxes'
How we calculate the FPS or time of inference by test datasets?