DetectionTeamUCAS / DetectionTeamUCAS/RRPN_Faster-RCNN_Tensorflow

训练loss值偏大有什么办法解决吗?

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Dominant language
Python
Stars
252
Forks
87
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Description

在训练的过程 loc loss一直比较大,导致总体loss也比较大,我的数据是我自己标记的,训练了有4万多步,测试了一下,位置信息偏差较大,大家一般训练多少步?
![微信截图_20200416110129](https://user-images.githubusercontent.com/49903328/79410209-55f1ef80-7fd2-11ea-84d1-33f63f2ea0a3.png)

![test003 png_r](https://user-images.githubusercontent.com/49903328/79410094-11feea80-7fd2-11ea-9e0d-7ffa492b73d2.png)

Contributor guide

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Research direction

Start with the reported high localization loss and the attached training and detection screenshots after more than 40,000 steps on self-labeled data. No code files, tests, or reproducible training setup are named; request the configuration and representative annotations before investigating. Completion would require a reproducible explanation of the localization errors and evidence of improved results, but no acceptance target is given.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, tensorflow
Domain
computer-vision, machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
15/100

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