Comments (1)
@miyane-ralo As you can seen in readme, my customize implementation of yolov5 relies on nb package. You can using some basic function such as build_conv_layer, build_act_layer to customize your model if you want, it's same style as mmdetection and detectron2, but expose more flexiblify and more simplier to use.
Also some out-of-box components such as various heads (PANet, SPP), some attention machinism were also supported for directly use.
And PR is very welcomed if you have your own components and it's really useful, you want integrating into nb, then just pull and request your mege!
from nb.
Related Issues (8)
- NB!!! HOT 2
- backbone.mobileone.repvgg_model_convert x写错了?应该是input吧 HOT 1
- Feature extraction of an image using back-bone of yolov5
- cannot import name 'NotaBene' from partially initialized module 'nb' (most likely due to a circular import) (/opt/conda/lib/python3.8/site-packages/nb/__init__.py) HOT 1
- NotaBene import problem HOT 1
- 关于训练Is there any code for how to train? HOT 1
- New architecture design HOT 4
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from nb.