Comments (3)
zhaoweicai
commented on July 19, 2024
It seems not right. Try finetuning first, and compare the difference. I don't think training-from-scratch works if you don't make any change, e.g. hyper-parameters.
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chengweige
commented on July 19, 2024
Thank you for your reply. I have solved the problem.
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xiaosibai
commented on July 19, 2024
Hi！The IOU always equals -1 when i use this "res101-9s-600-rfcn-cascade" to train my data ,can you tell me the reason!? And how to get the value of anchors? The loss ( floating up and down at 0.5)won‘t drop no mater how i try? Those problems are really killing me now, I cann't figure it out, can you help me?
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Related Issues (20)
- have you try stage with IoU thr = 0.8 HOT 1
- Decodebbox layer
- cascade rcnn真的增加了正样本的数量吗 HOT 1
- Where can I find a information about stage weight in the original paper? HOT 1
- hello HOT 1
- Any Dockerfile?
- inference process HOT 1
- Check failed: error == cudaSuccess (8 vs. 0) invalid device function
- Message type "caffe.LayerParameter" has no field named "box_group_output_param". HOT 2
- model size HOT 1
- problem when compile the code.
- how to test one img with c++
- Where is your cascade loss function?
- trianing res101-15s-800-fpn-cascade problem·
- How much memory of GPU is needed for inference?
- bbox_std value in different stages
- When do the test inference, does the model hold the proposals from all the three stage output,or just take the output from the last stage headers?
- loss不下降 HOT 4
- how to download pretrained model ?
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