nodefluxio / vortex

A Deep Learning Model Development Framework for Computer Vision
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Add darknet dataset #79

Closed alifahrri closed 4 years ago

alifahrri commented 4 years ago

Type of changes

Please check the type of change your PR introduces: - [ ] Bugfix - [x] Feature - [ ] Code style update (formatting, renaming) - [ ] Refactoring (no functional changes, no api changes) - [ ] Build related changes - [ ] Documentation content changes - [ ] Other (please describe): ## What is the current behavior?

Related issues :

What is the new behavior?

Checklist

alifahrri commented 4 years ago

note: some tests fail but i think it is unrelated to this pr

========================================================================================= short test summary info ==========================================================================================
FAILED tests/test_model.py::test_model[detection-resnest14] - ValueError: Expected more than 1 value per channel when training, got input size torch.Size([1, 32, 1, 1])
FAILED tests/test_model.py::test_model[detection-rexnet_100] - ValueError: Expected more than 1 value per channel when training, got input size torch.Size([1, 19, 1, 1])
FAILED tests/test_model.py::test_model[detection-tresnet_m] - ImportError: Please install InplaceABN: 'pip install git+https://github.com/mapillary/inplace_abn.git@v1.0.11'
FAILED tests/test_model.py::test_model[classification-resnest14] - ValueError: Expected more than 1 value per channel when training, got input size torch.Size([1, 32, 1, 1])
FAILED tests/test_model.py::test_model[classification-rexnet_100] - ValueError: Expected more than 1 value per channel when training, got input size torch.Size([1, 19, 1, 1])
FAILED tests/test_model.py::test_model[classification-tresnet_m] - ImportError: Please install InplaceABN: 'pip install git+https://github.com/mapillary/inplace_abn.git@v1.0.11'

maybe need to install other lib

triwahyuu commented 4 years ago

yess, the test in test_model is still failing, I'm working on that

triwahyuu commented 4 years ago

the failing tests have been resolved in #78, so all good.