Comments (5)
好的,那我试试换成coco格式把,如果没有验证这一步骤,我无法保证保存的权重是best.pdparams,只能是modelfinal.pdparams。担心最佳结果在72次之前就已经达到了,但是没有捕捉下来。
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你用的是这个项目还是paddledet那个?
from rt-detr.
你用的是这个项目还是paddledet那个?
用的是当前仓库下的项目,pddet里面的核心代码,是用的是rt-detr paddle版本呢。就是想知道如何获取验证集结果而且不会报错,如果是源代码会发生报错:trainer object has no attribute '_eval_loader'
from rt-detr.
我没跑过voc的数据,做实验的时候为了方便这里面一些没用到的逻辑已经删掉了
- 你可以试一下paddledet里的rtdetr 和这个基本是同步的 参数加载已经训练好的就行 直接去eval
- 把voc的数据格式转成coco的格式
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好的,那我试试换成coco格式把,如果没有验证这一步骤,我无法保证保存的权重是best.pdparams,只能是modelfinal.pdparams。担心最佳结果在72次之前就已经达到了,但是没有捕捉下来。
你好,请问你是如何给数据集转换成COCO格式的呢,我在网上找了很多种方法都转化不成功,但是用VOC格式又会报错
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Related Issues (20)
- 关于速度的问题 HOT 1
- Continue finetuning from a checkpoint HOT 1
- the difference between rtdetr_r50vd_m and rtdetr_r50vd
- TensorRT Inference Produces Zero Value Coordinates HOT 4
- 预训练权重 HOT 1
- 关于Encoder部分特征融合模块的设计理念
- Mismatch in pytorch model state dictionary HOT 2
- 关于随机数种子 HOT 3
- resize改成pad HOT 2
- 怎么读取两个数据集? HOT 1
- 关于PAN多级特征融合在维持原图比例不变时,填充区域的Attention Mask如何使用的问题
- Deformable Attention HOT 2
- Export to onnx get error HOT 4
- 用swin或者vit替换主干网络 HOT 1
- 训练了400个epoch,结果还是没收敛,一直不收敛是为什么?
- joint training on multiple datasets
- 关于Query Selection
- There are multiple bounding boxes on a single object. HOT 1
- 修改输入特征图尺寸 HOT 2
- Question about mAP when training from scratch HOT 2
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