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Fix a bug when detection number=0. #127

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Fix a bug when detection number=0. #127

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d7f01a1
fix bug when mask number == 0
Apr 29, 2022
b531cb1
fix in dataset class
Sep 5, 2023
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35 changes: 19 additions & 16 deletions mmdet2trt/apis/inference.py
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Original file line number Diff line number Diff line change
Expand Up @@ -77,9 +77,11 @@ def get_classes_from_config(model_cfg):
data_cfg = model_cfg.data

def get_module_from_train_val(train_val_cfg):
while train_val_cfg.type == 'RepeatDataset' or \
train_val_cfg.type == 'MultiImageMixDataset':
train_val_cfg = train_val_cfg.dataset
while train_val_cfg.type in ('RepeatDataset',
'MultiImageMixDataset',
'ConcatDataset'):
train_val_cfg = train_val_cfg.datasets[0] if hasattr(
train_val_cfg, 'datasets') else train_val_cfg.dataset
return module_dict[train_val_cfg.type]

data_cfg_type_list = ['train', 'val', 'test']
Expand Down Expand Up @@ -182,19 +184,20 @@ def forward(self, img, img_metas, *args, **kwargs):
masks = masks.detach().cpu().numpy()
num_classes = len(self.CLASSES)
class_agnostic = True
segms_results = []
for i in range(batch_size):
segms_results = FCNMaskHead.get_seg_masks(
Addict(
num_classes=num_classes,
class_agnostic=class_agnostic),
masks,
old_dets,
labels,
rcnn_test_cfg=Addict(mask_thr_binary=0.5),
ori_shape=img_metas[i]['ori_shape'],
scale_factor=scale_factor,
rescale=rescale)
segms_results = [[] for _ in range(num_classes)]
if num_dets>0:
for i in range(batch_size):
segms_results = FCNMaskHead.get_seg_masks(
Addict(
num_classes=num_classes,
class_agnostic=class_agnostic),
masks,
old_dets,
labels,
rcnn_test_cfg=Addict(mask_thr_binary=0.5),
ori_shape=img_metas[i]['ori_shape'],
scale_factor=scale_factor,
rescale=rescale)
results.append((dets_results, segms_results))
else:
results.append(dets_results)
Expand Down