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如#1858和#1745所说,我根据PaddleSeg\Matting\ppmatting\transforms\transforms.py中对于loadimage预处理类的理解,因为matting模型与传统语义分割不同,数据集可能有三值图trimap的情况,因此在matting模型训练中,新增了该loadimage预处理,为了来区分rgb与gbr,区分图像是src、alpha、trimap,但是直到目前为止paddleX与fastdeploy所支持的预处理方法中均没有loadimage方法
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如果按照我以上对loadimage的理解,它仅仅是对图像的分类处理,按理来说并不应该出现在预测模型的配置文件中?除此以外,应工程需要,环境为.net,以目前情况来看,似乎只有将paddle模型转为onnx模型一条路可走,是否还有其他可以解决该问题的方法
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shiyutang
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如#1858和#1745所说,我根据PaddleSeg\Matting\ppmatting\transforms\transforms.py中对于loadimage预处理类的理解,因为matting模型与传统语义分割不同,数据集可能有三值图trimap的情况,因此在matting模型训练中,新增了该loadimage预处理,为了来区分rgb与gbr,区分图像是src、alpha、trimap,但是直到目前为止paddleX与fastdeploy所支持的预处理方法中均没有loadimage方法
The text was updated successfully, but these errors were encountered: