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)
- gpu下预测的结果都是正常的,但切换到cpu下预测,结果全是nan HOT 3
- 为什么使用官方提供的索引库和模型 ppclas的主体识别效果却很差 HOT 1
- 怎样使用小数据对paddleclas的主体检测模型进行更新 HOT 1
- PPShitu中的特征向量提取时的图片归一化处理中,mean,std值,怎么来的? HOT 1
- PPShitu特征提取后,为何2张图很相似的图,特征向量的距离值很大(distance: [0.27994147])? HOT 1
- When do you plan to release recognition models? HOT 1
- 怎样理解特征抽取模型训练中的recall@1和mAP HOT 1
- Android 32位支持 HOT 1
- paddlecls特征提取模型微调 HOT 2
- GeneralRecognitionV2_PPLCNetV2_base.yaml微调特征提取模型报错 HOT 3
- GeneralRecognitionV2_PPLCNetV2_base.yaml微调 HOT 2
- softmax_triplet_with_center_infer.tar 下载链接不存在 HOT 3
- PP—ShiTuV2 RPC训练数据问题确认 HOT 10
- 小白求助,怎么设置分辨率?
- my fault
- 请问PP-Shitu可以做掌纹掌静脉识别吗 HOT 2
- 单卡训练报错ValueError: paddle.distributed initialize error, environment variable FLAGS_selected_gpus is needed, but not set.
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