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Call for YOLOv3 support

See original GitHub issue

Short Description YOLOv3 is considered to be widely used, excellent tradeoff between performance and speed, even compared with YOLO5 / YOLO-X / YOLO-E.

Papers https://arxiv.org/pdf/1804.02767.pdf

Existing Implementations Publicly there are some really popular repos, such as this, and this. However, the one we provide here should work with GPUs and TPUs, be compatible with KerasCV’s FasterRCNN and RetinaNet API.

Other Information Being an anchor based model, we’d like to see this model to rely on some of our existing components, such as anchor generation, label matching, etc. A training script that trains the model to a reasonable state is required, however model.compile and model.fit is not required in the first PR, in the long run model.fit should be used in the training script.

Issue Analytics

State:
Created a year ago
Reactions:1
Comments:6 (3 by maintainers)

Top GitHub Comments

1reaction

innatcommented, Oct 18, 2022

@tanzhenyu It was requested https://github.com/keras-team/keras-cv/issues/622

0reactions

tanzhenyucommented, Oct 18, 2022

@tanzhenyu It was requested #622

Oh great, closing this to reflect that issue.

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