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作者您好,我在测试时遇到了问题,希望您能帮忙解答。我采用WDC的数据集进行测试,同时采用您提供的wdc_gaussian.pth文件作为权重文件,在hsi_denoising_test.py中进行实验,得到的结果产生了很大的差距。PSNR仅仅只有9.7多,我想应该是数据集和评价指标存在问题,但是在经过仔细检查后并未发现问题。请问您有好的解决方法或者排除错误的方法吗?
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问题解决了一半,可能是由于我之前直接把参数放在了train_options()里的原因,现在通过使用您给的 python hsi_denoising_test.py -a sst_wdc -p sst_gaussian -r -rp checkpoints/wdc_gaussian.pth --testdir /data/HSI_Data/Hyperspectral_Project/WDC_noise/fixed/ 在跑sigma=10的高斯噪声时跑出了PSNR = 30.16 SSIM = 0.9929 SAM = 5.44 的结果,与您得到的结果还有一定的差距,请问您有好的解决方法吗?
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作者您好,我在测试时遇到了问题,希望您能帮忙解答。我采用WDC的数据集进行测试,同时采用您提供的wdc_gaussian.pth文件作为权重文件,在hsi_denoising_test.py中进行实验,得到的结果产生了很大的差距。PSNR仅仅只有9.7多,我想应该是数据集和评价指标存在问题,但是在经过仔细检查后并未发现问题。请问您有好的解决方法或者排除错误的方法吗?
The text was updated successfully, but these errors were encountered: