Comments (2)
- 您好,在预测时,我们建议先导出为inference model,再使用预测引擎去预测,这样就可以保证预测过程与模型无关,便于迁移,您可以参考这篇文档:https://github.com/PaddlePaddle/PaddleClas/blob/master/docs/zh_CN/extension/paddle_inference.md
- windows下设置环境变量,是这样的:
set PYTHONPATH=.
如果您希望在windows下使用PaddleClas,使用方法可以参考这个PR: #159 ,需要使用tools/train_multi_platform.py
与tools/eval_multi_platform.py
来进行训练与评估。
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Feel free to reopen it~
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Related Issues (20)
- 关于特征提取后进行feature_normalize的疑问 HOT 3
- 您好,是否能提供MixFormer的源码? HOT 3
- 缺少PULC_table_attribute.md文档 HOT 2
- 在进行训练时如果自己真实数据样本没有翻转的情况,数据增强RandFlipImage是不是可以不加 HOT 1
- 图片分类训练时报错 HOT 1
- 关于tripletangularmarginloss.py中的负样本类距离loss计算absolut_loss_an HOT 13
- 请问 paddleClas适合会计票据的分类吗 HOT 2
- 使用Python命令索引库如何更新 HOT 4
- list index out of range的原因是?
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- PaddleClas,图像识别部署,根据2.5文档服务化部署预测过程中出现报错 HOT 4
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