Comments (2)
Dataset is pretty small, just for checking pipeline https://drive.google.com/open?id=1xGUc2KXILpHL4ZTTpSYp05_MOhmWKT3r
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Check your augmentations (at least, you need to pass Tensors
to the network, rather than PILImages
).
Have you to manage to run segmentation notebook without any modifications?
PS. as a sanity check, you can take augmentations from segmentation notebook example.
from catalyst.
Related Issues (20)
- Dependency `packaging` not specified — ModuleNotFoundError HOT 2
- os.environ["CUDA_VISIBLE_DEVICES"] = "" does not use CPU HOT 5
- comprehensive classification example HOT 3
- `runner.evaluate_loader` does not work with DataParallelEngine HOT 4
- How to enforce WandbLogger::log_artifact to be invoked? HOT 2
- Idea: offload all launch-related code Accelerate HOT 2
- Custom loader stages HOT 1
- Crashes on 2xT4 GPUs HOT 3
- utils.process_model_params HOT 2
- Multi Criterion Training HOT 4
- No utils.initialization file HOT 3
- DynamicBalanceClassSampler example does not use sampler HOT 1
- KWArg fp16 does not exist HOT 6
- Replace getters with properties HOT 1
- Bug in catalyst/callbacks/backward.py if the grad_clip_fn value is set. HOT 2
- Bug in catalyst/callbacks/backward.py if the grad_clip_fn value is set. HOT 1
- Bug in catalyst/callbacks/backward.py if the grad_clip_fn value is set. HOT 1
- `DataParallelEngine.prepare_model` missing `device_placement` kwarg. HOT 2
- Columns and DataType Not Explicitly Set on line 96 of report.py HOT 2
- Importing DistributedSamplerWrapper will invalidate the setting CUDA_VISIBLE_DEVICE. HOT 1
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