Comments (3)
dvornikita
commented on July 4, 2024
We can, yes. But what is the purpose?
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bhack
commented on July 4, 2024
Generally in the demo you can have some false positive on minor/marginal objects so could be useful to filter on the categories that are mainly present in that context if you know it.
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dvornikita
commented on July 4, 2024
@bhack sounds reasonable.
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Related Issues (20)
- python demo.py --run_name=BlitzNet300_COCO+VOC07+12 --x4 --detect --segment --eval_min_conf=0.5 --ckpt=1 HOT 7
- files = glob(osp.join(self.folder, '*{}'.format(self.data_format))) HOT 1
- tensorflow.python.framework.errors_impl.NotFoundError: /home/cbl/PycharmProjects/blitznet-master/Datasets/voc07-trainval-segmentation; No such file or directory HOT 1
- python training.py --run_name=BlitzNet300_x4_VOC0712_detseg --dataset=voc07+12-segmentation --trunk=resnet50 --x4 --batch_size=32 --optimizer=adam --detect --segment --max_iterations=65000 --lr_decay 40000 50000 HOT 1
- without Preparation3 ,can I train ? HOT 2
- ModuleNotFoundError: No module named 'progressbar' HOT 1
- 1a
- true_number_of_negatives calculation HOT 4
- About the arguments in class feed_forward HOT 1
- Model download HOT 2
- Demo results HOT 2
- Test on MS COCO dataset based on trained checkpoint HOT 3
- Some illogical problems occurred during the detection process.
- How to train on cityscapes? HOT 2
- How to calculate each class of IoUοΌ HOT 4
- About MIoU result HOT 1
- Where is the deconvolution layers?
- Is there any other hidden settings or tricks for training HOT 4
- Pre-trained model and the interface HOT 1
- Download the pre-trained model
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