-
Notifications
You must be signed in to change notification settings - Fork 97
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
dota v1.5数据集训出来效果很差 #19
Comments
我之前的代码是针对5分类的比赛临时写的,当时有一些地方参数直接写5没写num_class,因此可能代码训练其它数据集时会有点小问题。我暂时重心不会放在目标检测上,因此短时间内不会花时间优化这份代码,所以你可以按着思路自己去优化修改一下代码。
…------------------ 原始邮件 ------------------
发件人: "BossZard/rotation-yolov5" ***@***.***>;
发送时间: 2021年5月12日(星期三) 下午2:28
***@***.***>;
***@***.***>;
主题: [BossZard/rotation-yolov5] dota v1.5数据集训出来效果很差 (#19)
Class Images Targets P R ***@***.*** ***@***.***:.95: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 115/115 [00:23<00:00, 4.92it/s] all 458 6.96e+04 0.0863 0.133 0.098 0.0347 plane 458 2.55e+03 0.423 0.551 0.435 0.168 baseball-diamond 458 213 0.292 0.634 0.494 0.164 bridge 458 466 0.114 0.337 0.157 0.0381
ground-track-field 458 145 0.225 0.407 0.324 0.128
small-vehicle 458 4.33e+04 0.327 0.198 0.159 0.0563
large-vehicle 458 5.14e+03 0 0 0 0
ship 458 1.08e+04 0 0 0 0
tennis-court 458 763 0 0 0 0
basketball-court 458 143 0 0 0 0
storage-tank 458 2.94e+03 0 0 0 0
soccer-ball-field 458 149 0 0 0 0
roundabout 458 185 0 0 0 0
harbor 458 2.1e+03 0 0 0 0
swimming-pool 458 576 0 0 0 0
helicopter 458 78 0 0 0 0
container-crane 458 14 0 0 0 0
基本上在val集上,没有识别出来,16个类
我是在train上训练了500epoch,不应该有问题啊,求解答。
—
You are receiving this because you are subscribed to this thread.
Reply to this email directly, view it on GitHub, or unsubscribe.
|
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
ground-track-field 458 145 0.225 0.407 0.324 0.128
small-vehicle 458 4.33e+04 0.327 0.198 0.159 0.0563
large-vehicle 458 5.14e+03 0 0 0 0
ship 458 1.08e+04 0 0 0 0
tennis-court 458 763 0 0 0 0
basketball-court 458 143 0 0 0 0
storage-tank 458 2.94e+03 0 0 0 0
soccer-ball-field 458 149 0 0 0 0
roundabout 458 185 0 0 0 0
harbor 458 2.1e+03 0 0 0 0
swimming-pool 458 576 0 0 0 0
helicopter 458 78 0 0 0 0
container-crane 458 14 0 0 0 0
基本上在val集上,没有识别出来,16个类
我是在train上训练了500epoch,不应该有问题啊,求解答。
The text was updated successfully, but these errors were encountered: