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overview

docker image	finetune	tensorboard	args/cfg options	framework	onnx	pretrained weights
yolov4	?	✔️	❌	darknet + mxnet	❌	local
yolov5	✔️	✔️	✔️	pytorch	✔️	local+online
yolov7	✔️	✔️	✔️	pytorch	❌	local+online
mmdetection	✔️	✔️	✔️	pytorch	❌	local+online
detectron2	✔️	✔️	✔️	pytorch	❌	online
vidt	?	✔️	✔️	pytorch	❌	online
nanodet	✔️	✔️	❌	pytorch_lightning	❌	local+online

• online pretrained weights may download through network

• local pretrained weights have copied to docker images when building image

benchmark

• training dataset: voc2012-train 5717 images
• validation dataset: voc2012-val 5823 images
• image size: 640

gpu: single Tesla P4

docker image	batch size	epoch number	model	voc2012 val map50	training time	note
yolov5	16	100	yolov5s	70.05%	9h	coco-pretrained
vidt	2	100	swin-nano	54.13%	2d	imagenet-pretrained
yolov4	4	20000 steps	yolov4	66.18%	2d	imagenet-pretrained
yolov7	16	100	yolov7-tiny	70%	8h	coco-pretrained

gpu: single GeForce GTX 1080 Ti

docker image	image size	batch size	epoch number	model	voc2012 val map50	training time	note
yolov4	608	64/32	20000 steps	yolov4	72.73%	6h	imagenet-pretrained
yolov5	640	16	100	yolov5s	70.35%	2h	coco-pretrained
yolov7	640	16	100	yolov7-tiny	70.4%	5h	coco-pretrained
mmdetection	640	16	100	yolox_tiny	66.2%	5h	coco-pretrained
detectron2	640	2	20000 steps	retinanet_R_50_FPN_1x	53.54%	2h	imagenet-pretrained
nanodet	416	16	100	nanodet-plus-m_416	58.63%	5h	imagenet-pretrained

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how to import pretrained model weights

• import and finetune model

• import pretainted model weights

reference

object detection

• ymir-yolov5
• ymir-yolov7
• ymir-nanodet
• ymir-mmyolo
• ymir-vidt
• ymir-detectron2

semantic segmenation

• ymir-mmsegmentation

instance segmentation

• ymir-yolov5-seg

resource

• ymir-executor-sdk ymir_exc package, help to develop your image
• ymir-executor-verifier test your ymir image
• ymir-flask deploy your model on website