We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
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
作者您好,我按照readme的指示在我的私有数据集上分两步训练DeepSnake模型。 第一步训练检测框时,我使用了如下命令: python train_net.py --cfg_file configs/my_config.yaml model rcnn_det 在tensorboard上绘制训练图像如下: 然后进行了第二步的训练,使用了如下命令: python train_net.py --cfg_file configs/my_config.yaml model rcnn_snake det_model rcnn_det 在tensorboard上绘制训练图像如下: 它看起来十分奇怪,我的问题是: 1.我的使用步骤是否正确? 2.如果正确,我应该怎么处理验证集上损失曲线如此奇怪的问题? 期待您的回复,感谢!
The text was updated successfully, but these errors were encountered:
No branches or pull requests
作者您好,我按照readme的指示在我的私有数据集上分两步训练DeepSnake模型。
![image](https://private-user-images.githubusercontent.com/118451002/299231449-af058f47-12f4-4715-8da8-00b27fcb7301.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3Mzk1ODAwMTIsIm5iZiI6MTczOTU3OTcxMiwicGF0aCI6Ii8xMTg0NTEwMDIvMjk5MjMxNDQ5LWFmMDU4ZjQ3LTEyZjQtNDcxNS04ZGE4LTAwYjI3ZmNiNzMwMS5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjUwMjE1JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI1MDIxNVQwMDM1MTJaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT0zNzQ3NzMzYTBhZDFmYWM0NDdlN2U4MGYxOTFjZTUwYTBlY2UxYTYxMWQyYWFkNjg2MzNmMjhiNDJlOTEzZjAwJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCJ9.cAaBwJwjBCpEWqyb-wn8Bp1wqy2FUlwFY2X3AFOUkXU)
![image](https://private-user-images.githubusercontent.com/118451002/299232093-08417f17-6bf1-4342-8c72-00d0e7d55e79.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3Mzk1ODAwMTIsIm5iZiI6MTczOTU3OTcxMiwicGF0aCI6Ii8xMTg0NTEwMDIvMjk5MjMyMDkzLTA4NDE3ZjE3LTZiZjEtNDM0Mi04YzcyLTAwZDBlN2Q1NWU3OS5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjUwMjE1JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI1MDIxNVQwMDM1MTJaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT1hM2ZlNGNkNzUyOWRlNzk5ZmU0ODVmY2M5M2NlOGFmOTA2YmViNGIzNzA4ODEwY2NkMTgzMjc2NGVkMjJhYzc2JlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCJ9.sVYLMoGiTmxIWo-ObZN0-LbJyCHRfNJHh2zFjl40kPs)
第一步训练检测框时,我使用了如下命令:
python train_net.py --cfg_file configs/my_config.yaml model rcnn_det
在tensorboard上绘制训练图像如下:
然后进行了第二步的训练,使用了如下命令:
python train_net.py --cfg_file configs/my_config.yaml model rcnn_snake det_model rcnn_det
在tensorboard上绘制训练图像如下:
它看起来十分奇怪,我的问题是:
1.我的使用步骤是否正确?
2.如果正确,我应该怎么处理验证集上损失曲线如此奇怪的问题?
期待您的回复,感谢!
The text was updated successfully, but these errors were encountered: