mmyolo/configs/ppyoloe/ppyoloe_l_fast_8xb20-300e_coco.py
Nioolek 8127805dd3
[Feature] Support PPYOLOE training (#259)
* add ppyoloe backbone, neck

* add ppyoloe test

* add docstring

* add ppyoloe m/l/x configfile

* add ppyoloe_coco.py

* rename config

* add typehint

* format code; add ut

* add datapre

* add datapre

* add ppyoloe datapre

* add ppyoloe datapre

* add ppyoloe datapre

* reproduce coco v0.1

* add ut

* add ut, docstring

* fix transforms bug

* use mmdet dfloss

* add non plus model config

* add non plus model config

* fix

* add ut

* produce coco v0.2

* fix config

* fix config

* fix eps and transforms bug

* add ema

* fix resize

* fix transforms.py

* fix transforms.py

* fix transforms.py

* old version

* old version

* old version

* old version

* old version

* old version

* fix stride loss error

* add INTER_LANCZOS4

* fix crop bug

* init commit

* format code

* format code

* bgr transforms.py

* add typehint and doc in transforms.py

* 继承新版yolov6head写法,删除不必要的注释

* fix transforms var name bug

* bbox decode use stridetensor insted of priors

* add headmodule todo

* add ppyoloe README.md

* add ppyoloe README.md

* Update tests/test_datasets/test_transforms/test_transforms.py

Co-authored-by: Range King <RangeKingHZ@gmail.com>

* Update tests/test_datasets/test_transforms/test_transforms.py

Co-authored-by: Range King <RangeKingHZ@gmail.com>

* save ckpt last 10 epochs

* save_best ckpt

* del ppyoloe collate

* change name of ppyoloebatchrandomresize

* add the reason for rewritten PPYOLOEDetDataPreprocessor

* solve ppyoloerandomresize name error

* rm PPYOLOERandomExpand

* rm l1 loss

* rm yolov6 loss_obj

* add difference between yolov6 and ppyoloe

* add reason for rewrite paramscheduler

* change proj init way

* fix error

* rm proj_conv in pth

* format code

* add load_from

* update

* support fast training

* add pretrained model url

* update

* add pretrained model url

* fix error

* add imagenet model convert and use init_cfg to init backbone

* add plus model pretrain model

* add ut

* add ut

* fix ut

* fix withstride bug

* cat in yolov5_collate

* merge

* fix typehint

* update readme

* add reason for gap

* fix log in README.md

* rollback yolov6

* change inherit

* fix ut

* fix ut

Co-authored-by: Range King <RangeKingHZ@gmail.com>
Co-authored-by: hha <1286304229@qq.com>
Co-authored-by: huanghaian <huanghaian@sensetime.com>
2023-01-06 15:54:39 +08:00

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Python

_base_ = './ppyoloe_s_fast_8xb32-300e_coco.py'
# The pretrained model is geted and converted from official PPYOLOE.
# https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.5/configs/ppyoloe/README.md
checkpoint = 'https://download.openmmlab.com/mmyolo/v0/ppyoloe/ppyoloe_pretrain/cspresnet_l_imagenet1k_pretrained-c0010e6c.pth' # noqa
deepen_factor = 1.0
widen_factor = 1.0
train_batch_size_per_gpu = 20
model = dict(
backbone=dict(
deepen_factor=deepen_factor,
widen_factor=widen_factor,
init_cfg=dict(checkpoint=checkpoint)),
neck=dict(
deepen_factor=deepen_factor,
widen_factor=widen_factor,
),
bbox_head=dict(head_module=dict(widen_factor=widen_factor)))
train_dataloader = dict(batch_size=train_batch_size_per_gpu)