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[Fix] Fix typos in the YOLOv8 diagram #621
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麻烦再检查一下第17层是否有误,谢谢! |
抱歉,17 层输出应该为 768,已修正。 |
@hhaAndroid 您好,按照修正后的YOLOv8结构图来搭建网络,以YOLOv8-L为例,在640x640的输入下,参数量为59M,和官方的43M对不上,请问你们在训练模型时,有记录参数量和FLOPs的信息吗? |
@yjh0410 你可以使用以下命令获得 YOLOv8l 的模型参数量(v0.5.0 或 dev 分支): python tools/analysis_tools/get_flops.py configs/yolov8/yolov8_l_syncbn_fast_8xb16-500e_coco.py 输出结果如下,和官方的 43 M 是对应的:
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@RangeKing 好的,非常感谢! |
@RangeKing 您好,再次打扰了~我之所没对上,是因为head部分按照YOLOX的思路了,但看了代码,发现YOLOv8的head参数设计是不一样的,现在完全对上了。希望大佬们可以修改一下图中的head部分,能加填一下详细的通道数变化,否则会误以为是retinanet那种decoupled head。 |
通道数加上整体排版要大改,稍有些麻烦哈 |
请问用什么软件画网络结构图 |
@140ai 我是用 PPT 画的 |
Motivation
Fix typos in the YOLOv8 diagram.
Modification
Modify the channels after No.13
Upsample
from 256 to 512, the channels after No.14Concat
from 512 to 768, and the channels after No.17Concat
from 512 to 768.