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# MLCVZoo mlcvzoo_yolox module Versions:
6.2.1 (2024-08-05):
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Hotfix: Remove debug timing of the model
6.2.0 (2024-06-07):
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Fix checkpoint name of trained yolox models
- Use leading zeros for correct order of file-paths
- Additional Bugfix: Correctly state onnx extra
6.1.0 (2024-06-07):
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Implement and use API changes introduced by mlcvzoo-base version 6.0.0
6.0.1 (2023-05-03):
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Python 3.10 compatibility
6.0.0 (2023-02-14):
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Implement API changes introduces by mlcvzoo-base version 5.0.0
- Remove detector-config and use the feature of the single ModelConfiguration
- Remove duplicate attributes
5.3.0 (2023-02-08):
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- Include YOLOX multi-gpu training capabilities
- Update poetry lock file
-
5.2.0 (2023-01-25):
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- Upgrade TensorRT version from 8.2.3.0 to 8.4.2.4
- Increment version in mlcvzoo_yolox/pyproject.toml
- Add tests for the conversion of different yolox versions (s, m, l, x) to TensorRT models
- The higher TensorRT version yields no reduction in memory costs,
a lack of VRAM on the GPU still results in an error
- Update torch2trt to latest stable commit
- Fix post-processing bug for yolox predictions
- Add the third-party module boxes.py where the bug resides
- Always choose the first detection (highest NMS score) if there are several available
5.1.1 (2022-11-10):
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Remove dependency on backports.strenum
5.1.0 (2022-09-09):
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- Ensure ConfigBuilder version 7 compatibility
- Remove call to yolox Trainer.after_epoch(...)
- It generated duplicated checkpoints
- This removes the possibility to run an evaluation during training
- For evaluating model checkpoints after training the mlcvzoo-modeltrainer
(mlcvzoo-util module) is recommended
5.0.0 (2022-08-08):
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- Adapt to mlcvzoo-base 4.0.0
4.0.2 (2022-07-11):
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Prepare package for PyPi
4.0.1 (2022-06-29):
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Fix num_classes bug:
- Ensure that the model in yolox gets initialized with the correct number of classes
4.0.0 (2022-06-13):
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Refactor and update:
- Update to yolox version 0.3.0
- Refactor initialization of yolox experiments in the MLCVZoo
- Define the default parameters for the yolox versions (nano, s, m, l ...) in a lookup dictionary
- Don't use an extra .py experiment file, but add a config entry that allows to
define parameters that should be overwritten for the experiments
- Remove unneeded configuration attributes
- Fix num_classes method
- Add missing decorator
- Don't use deprecated attribute
3.0.0 (2022-05-16):
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Use new features from AnnotationClassMapper that have been added with mlcvzoo_base v3.0.0
2.0.0 (2022-04-05)
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- initial release of the package