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预训练模型预测示例图片错误率高达83.33%,请教可能出现问题的地方 #98
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@lujx1024 |
请问现在代码和checkpoint更新了么? 现有的源代码里面还有些文件里面报错,例如tools\convert_image_bin.py,如果更新了的话我可以下载最新的版本再尝试一下 |
@lujx1024 代码已更新,最近的 checkpoint 也重新发布 |
@GuoxiaWang 感谢告知,我更新之后试一下 |
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概述
在 Windows 平台和 Linux 平台分别部署了PLSC运行环境,由于按照 README 文件中的安装提示,使用源码编译安装Paddle失败数次,所以后来使用的pip安装的PaddlePaddle-gpu环境(两个平台都是GPU环境),在下载了预训练模型后,使用测试图片进行预测,结果如图所示:
显然错误率很高,只有Rachel识别正确
环境
需要请教的问题
请相关开发人员给点提示,谢谢!
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