Comments (5)
我也遇到了同样的情况
from mobilenetv3-ssd.
请问你在voc上的mAP是多少呀
from mobilenetv3-ssd.
请问你们是如何修改数据写入的
from mobilenetv3-ssd.
https://github.com/shaoshengsong/MobileNetV3-SSD-Compact-Version
from mobilenetv3-ssd.
11.19更新:
训练集:VOC07+12,测试集:VOC07-test,
使用SGDR学习率调整策略,初始学习率为0.01,学习率调整周期为100个epoches,总共训练610个epoches,
预训练模型:mb3-ssd-lite-Epoch-149-Loss-5.782852862012213.pth,
batch_size:32,
能得到的最好的Loss是4.07,请问怎样进一步调整学习策略?
原提问:
你好,当我使用您提供的PASCAL的预训练模型(mb3-ssd-lite-Epoch-149-Loss-5.782852862012213.pth)对几张图片进行检测时,每张图片都检测不到任何一个物体。
然后,我在上述检查点的基础上进行finetune,使用VOC2007+VOC2012数据集训练了100个epoch,batch_size=32,lr=0.0005+multistep([40,80,]),使用新训练的模型再次检测,部分图片能检测到物体,但是准确度还是比较低。
对此,我有两个问题想请教您:您在使用上述PASCAL模型进行检测时效果如何?是我操作不当还是模型本身专准确度就不高?
如果想进一步提高准确度,我需要如何训练?比如是否应该加大数据集或改进训练参数。
请问一下你在VOC训练一个epoch大概要多久?
from mobilenetv3-ssd.
Related Issues (20)
- Error Message
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- Mobilenetv3_py is outdated
- V3是否有在imagenet预训练过?没有预训练的效果很差 HOT 1
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- code style
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- Please share weights outside mainland China HOT 2
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