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View Code? Open in Web Editor NEWContent-aware Scalable Deep Compressed Sensing (TIP 2022) [PyTorch]
Content-aware Scalable Deep Compressed Sensing (TIP 2022) [PyTorch]
您好,再次请教!这次我在重构图片时,显存爆了,恢复失败。具体而言,运行的是test.py文件,但是图片是用的高分辨率遥感图像,图片尺寸为3904x1280,模型是您提供的net_params_320.pkl文件。我首先用单卡A40会爆显存,再尝试了DataParallel下4张A40还是失败,改写成DPP多卡下4张A40也是没有恢复成功。主要是在这一步model_test.py的135行,
PhiT_Phi_basic = Phi_basic.permute(0, 2, 1).matmul(Phi_basic)
出现OutOfMemory的情况。请问遇到这种高分辨率的图片该怎么恢复呢?
很感谢作者您在CS领域贡献的这份工作,我大受裨益,目前我也在从事相关研究。我想知道该如何获取您在Overview图中第二步骤,经过SS以及IS所得到的Initial Estimation的图片,也就是压缩后尚未恢复的图片。感谢您的回复!
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