Comments (3)
作者您好!
在复现您的代码时,我发现之后最后3个epoch的model被保存,想请教您一下,如何能保存每个cycle的训练模型呢?
此外还想请教一下,您config中test其实使用的是trainval的数据,用于计算不确定度。那么在使用tools/test.py进行测试的时候,是否就需要更改test为真正的测试集才行?
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作者您好!
在复现您的代码时,我发现之后最后3个epoch的model被保存,想请教您一下,如何能保存每个cycle的训练模型呢?
你好!
目前这套代码是可以保存每个 cycle 的训练模型的,其中 这里 提供了一个示例输出文件夹的网盘链接,你可以看一下。
如果你是想保存每个 epoch 的模型,你可以在 tools/train.py
中每个 epoch 训练结束时使用 torch.save()
函数进行保存。
Hello there!
At present, this repository can save the trained model for each cycle. Here is a link to the cloud drive of an example output folder, you can have a look .
If you want to save the model for each epoch, you can use the torch.save()
function to save it at the end of each training epoch in tools/train.py
.
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作者您好!
在复现您的代码时,我发现之后最后3个epoch的model被保存,想请教您一下,如何能保存每个cycle的训练模型呢?此外还想请教一下,您config中test其实使用的是trainval的数据,用于计算不确定度。那么在使用tools/test.py进行测试的时候,是否就需要更改test为真正的测试集才行?
不是的,在这个代码中,我们测试时使用的是 test 集,但在 config
中使用的是 data.val
的部分。你可以看一下 这里。
No, in this repository, we use the test set for test, but we use data.val
in config
. You can have a look here.
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Related Issues (20)
- 关于修改配置应用到自建数据集的问题
- Why do we need Annotation files for unlabelled dataset?
- Training each cycle from scratch?
- A request
- No detection of testing of custom train model HOT 8
- Using mmdetection to test checkpoint file get 0 in mAP HOT 1
- comparison with other baseline methods(random, entropy) HOT 4
- Unable to solve error of version. HOT 3
- 关于初始化X_U数据集使用 HOT 2
- BDD100K下进行测试 HOT 2
- Welcome update to OpenMMLab 2.0 HOT 1
- 出现以下问题,不知道如何解决 HOT 1
- comparative experiment HOT 2
- document-layout-analysis HOT 1
- saving generated annotations in each active learning cycle HOT 4
- 能否只使用代码中的主动学习部分来筛选图片呢 HOT 3
- 成功运行实验,但过程除了一些问题。
- Why does it split to 2007 and 2012 folders? HOT 1
- 安装与编译mmdetection时报错,请问这是什么原因呢? HOT 3
- code to generate figures 6 & 7
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