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纯新手,大佬我想把这个模型移植到英伟达的jetson Orin上转化为TensorRT Engine,使用c++来进行推理实现图像的超分辨率重建。但是现在对于DAT-light模型的input输入形式有些疑惑,我看你定义的img_size=64,这是表明导入图片的输入是3 * 64 * 64吗?我是否需要对图片进行切片为64 * 64之后再进行推理然后再组装成图。
The text was updated successfully, but these errors were encountered:
不需要,img_size=64是为了方便训练设置的参数,可以提前计算w-sa使用到的mask,从而避免重复计算。但是在推理时,任意大小分辨率的输入都可以(重新计算mask即可)。
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纯新手,大佬我想把这个模型移植到英伟达的jetson Orin上转化为TensorRT Engine,使用c++来进行推理实现图像的超分辨率重建。但是现在对于DAT-light模型的input输入形式有些疑惑,我看你定义的img_size=64,这是表明导入图片的输入是3 * 64 * 64吗?我是否需要对图片进行切片为64 * 64之后再进行推理然后再组装成图。
The text was updated successfully, but these errors were encountered: