Comments (2)
The interested objects are per. cyl. car. Only the 10848 images include these objects.
from squeezesegv2.
I see, thank you! I think the images that do not contain these objects can be treated as negative samples. Maybe it doesn't matter, because the negative samples are far more than the positive samples.
from squeezesegv2.
Related Issues (17)
- How to train on kitti dataset? HOT 5
- could you open source for the kitti data process code?
- GTAV dataset
- Could you open the synthetic raw dataset without being projected to 2D? HOT 1
- How to train on GPU? HOT 3
- Confused on 'We name the root directory as $SQSG_ROOT.' HOT 1
- How to use the code for own dataset
- Citing errors HOT 1
- Synthetic Dataset Access
- Question about the geodesic loss
- Learning rate changes abnormally HOT 2
- No module named 'kitti_squeezeSeg_config' HOT 1
- How much GPU memory is needed?
- where is the domain adaptation part? HOT 2
- tensorflow.python.framework.errors_impl.DeadlineExceededError: Timed out waiting for notification HOT 1
- how to freeze the pb for c++
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from squeezesegv2.