{"id":99346,"date":"2025-02-27T19:48:47","date_gmt":"2025-02-27T16:18:47","guid":{"rendered":"https:\/\/nabfollower.com\/blog\/randaugment-%d8%af%d8%b1-pytorch-2-%d8%ac%d8%a7%d9%85%d8%b9%d9%87-dev\/"},"modified":"2025-02-27T19:48:47","modified_gmt":"2025-02-27T16:18:47","slug":"randaugment-%d8%af%d8%b1-pytorch-2-%d8%ac%d8%a7%d9%85%d8%b9%d9%87-dev","status":"publish","type":"post","link":"https:\/\/nabfollower.com\/blog\/randaugment-%d8%af%d8%b1-pytorch-2-%d8%ac%d8%a7%d9%85%d8%b9%d9%87-dev\/","title":{"rendered":"Randaugment \u062f\u0631 Pytorch (2) – \u062c\u0627\u0645\u0639\u0647 Dev"},"content":{"rendered":"
\n
from<\/span> torchvision.datasets<\/span> import<\/span> OxfordIIITPet<\/span>\nfrom<\/span> torchvision.transforms.v2<\/span> import<\/span> RandAugment<\/span>\nfrom<\/span> torchvision.transforms.functional<\/span> import<\/span> InterpolationMode<\/span>\n\norigin_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>None<\/span>\n)<\/span>\n\nm0_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span> # `m` is magnitude.\n<\/span>    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>magnitude<\/span>=<\/span>0<\/span>)<\/span>\n)<\/span>\n\nm1_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>magnitude<\/span>=<\/span>1<\/span>)<\/span>\n)<\/span>\n\nm2_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>magnitude<\/span>=<\/span>2<\/span>)<\/span>\n)<\/span>\n\nm5_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>magnitude<\/span>=<\/span>5<\/span>)<\/span>\n)<\/span>\n\nm10_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>magnitude<\/span>=<\/span>10<\/span>)<\/span>\n)<\/span>\n\nm25_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>magnitude<\/span>=<\/span>25<\/span>)<\/span>\n)<\/span>\n\nno1000m0_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span> # `no` is num_ops.\n<\/span>    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>num_ops<\/span>=<\/span>1000<\/span>,<\/span> magnitude<\/span>=<\/span>0<\/span>)<\/span>\n)<\/span>\n\nno1000m1_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>num_ops<\/span>=<\/span>1000<\/span>,<\/span> magnitude<\/span>=<\/span>1<\/span>)<\/span>\n)<\/span>\n\nno1000m2_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>num_ops<\/span>=<\/span>1000<\/span>,<\/span> magnitude<\/span>=<\/span>2<\/span>)<\/span>\n)<\/span>\n\nno1000m5_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>num_ops<\/span>=<\/span>1000<\/span>,<\/span> magnitude<\/span>=<\/span>5<\/span>)<\/span>\n)<\/span>\n\nno1000m10_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>num_ops<\/span>=<\/span>1000<\/span>,<\/span> magnitude<\/span>=<\/span>10<\/span>)<\/span>\n)<\/span>\n\nno1000m25_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>num_ops<\/span>=<\/span>1000<\/span>,<\/span> magnitude<\/span>=<\/span>25<\/span>)<\/span>\n)<\/span>\n\nm0nmb1000_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span> # `nmb` is num_magnitude_bins.\n<\/span>    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>magnitude<\/span>=<\/span>0<\/span>,<\/span> num_magnitude_bins<\/span>=<\/span>1000<\/span>)<\/span>\n)<\/span>\n\nm1nmb1000_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>magnitude<\/span>=<\/span>1<\/span>,<\/span> num_magnitude_bins<\/span>=<\/span>1000<\/span>)<\/span>\n)<\/span>\n\nm2nmb1000_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>magnitude<\/span>=<\/span>2<\/span>,<\/span> num_magnitude_bins<\/span>=<\/span>1000<\/span>)<\/span>\n)<\/span>\n\nm5nmb1000_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>magnitude<\/span>=<\/span>5<\/span>,<\/span> num_magnitude_bins<\/span>=<\/span>1000<\/span>)<\/span>\n)<\/span>\n\nm10nmb1000_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>magnitude<\/span>=<\/span>10<\/span>,<\/span> num_magnitude_bins<\/span>=<\/span>1000<\/span>)<\/span>\n)<\/span>\n\nm25nmb1000_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>magnitude<\/span>=<\/span>25<\/span>,<\/span> num_magnitude_bins<\/span>=<\/span>1000<\/span>)<\/span>\n)<\/span>\n\nm50nmb1000_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>magnitude<\/span>=<\/span>50<\/span>,<\/span> num_magnitude_bins<\/span>=<\/span>1000<\/span>)<\/span>\n)<\/span>\n\nm100nmb1000_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>magnitude<\/span>=<\/span>100<\/span>,<\/span> num_magnitude_bins<\/span>=<\/span>1000<\/span>)<\/span>\n)<\/span>\n\nm500nmb1000_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>magnitude<\/span>=<\/span>500<\/span>,<\/span> num_magnitude_bins<\/span>=<\/span>1000<\/span>)<\/span>\n)<\/span>\n\nm999nmb1000_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>magnitude<\/span>=<\/span>999<\/span>,<\/span> num_magnitude_bins<\/span>=<\/span>1000<\/span>)<\/span>\n)<\/span>\n\nno1000m0nmb1000_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>num_ops<\/span>=<\/span>1000<\/span>,<\/span> magnitude<\/span>=<\/span>0<\/span>,<\/span> num_magnitude_bins<\/span>=<\/span>1000<\/span>)<\/span>\n)<\/span>\n\nno1000m1nmb1000_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>num_ops<\/span>=<\/span>1000<\/span>,<\/span> magnitude<\/span>=<\/span>1<\/span>,<\/span> num_magnitude_bins<\/span>=<\/span>1000<\/span>)<\/span>\n)<\/span>\n\nno1000m2nmb1000_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>num_ops<\/span>=<\/span>1000<\/span>,<\/span> magnitude<\/span>=<\/span>2<\/span>,<\/span> num_magnitude_bins<\/span>=<\/span>1000<\/span>)<\/span>\n)<\/span>\n\nno1000m5nmb1000_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>num_ops<\/span>=<\/span>1000<\/span>,<\/span> magnitude<\/span>=<\/span>5<\/span>,<\/span> num_magnitude_bins<\/span>=<\/span>1000<\/span>)<\/span>\n)<\/span>\n\nno1000m10nmb1000_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>num_ops<\/span>=<\/span>1000<\/span>,<\/span> magnitude<\/span>=<\/span>10<\/span>,<\/span> num_magnitude_bins<\/span>=<\/span>1000<\/span>)<\/span>\n)<\/span>\n\nno1000m25nmb1000_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>num_ops<\/span>=<\/span>1000<\/span>,<\/span> magnitude<\/span>=<\/span>25<\/span>,<\/span> num_magnitude_bins<\/span>=<\/span>1000<\/span>)<\/span>\n)<\/span>\n\nno1000m50nmb1000_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>num_ops<\/span>=<\/span>1000<\/span>,<\/span> magnitude<\/span>=<\/span>50<\/span>,<\/span> num_magnitude_bins<\/span>=<\/span>1000<\/span>)<\/span>\n)<\/span>\n\nno1000m100nmb1000_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>num_ops<\/span>=<\/span>1000<\/span>,<\/span> magnitude<\/span>=<\/span>100<\/span>,<\/span> num_magnitude_bins<\/span>=<\/span>1000<\/span>)<\/span>\n)<\/span>\n\nno1000m500nmb1000_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>num_ops<\/span>=<\/span>1000<\/span>,<\/span> magnitude<\/span>=<\/span>500<\/span>,<\/span> num_magnitude_bins<\/span>=<\/span>1000<\/span>)<\/span>\n)<\/span>\n\nno1000m999nmb1000_data<\/span> =<\/span> OxfordIIITPet<\/span>(<\/span>\n    root<\/span>=<\/span>\"<\/span>data<\/span>\"<\/span>,<\/span>\n    transform<\/span>=<\/span>RandAugment<\/span>(<\/span>num_ops<\/span>=<\/span>1000<\/span>,<\/span> magnitude<\/span>=<\/span>999<\/span>,<\/span> num_magnitude_bins<\/span>=<\/span>1000<\/span>)<\/span>\n)<\/span>\n\nimport<\/span> matplotlib.pyplot<\/span> as<\/span> plt<\/span>\n\ndef<\/span> show_images1<\/span>(<\/span>data<\/span>,<\/span> main_title<\/span>=<\/span>None<\/span>):<\/span>\n    plt<\/span>.<\/span>figure<\/span>(<\/span>figsize<\/span>=<\/span>[<\/span>10<\/span>,<\/span> 5<\/span>])<\/span>\n    plt<\/span>.<\/span>suptitle<\/span>(<\/span>t<\/span>=<\/span>main_title<\/span>,<\/span> y<\/span>=<\/span>0.8<\/span>,<\/span> fontsize<\/span>=<\/span>14<\/span>)<\/span>\n    for<\/span> i<\/span>,<\/span> (<\/span>im<\/span>,<\/span> _<\/span>)<\/span> in<\/span> zip<\/span>(<\/span>range<\/span>(<\/span>1<\/span>,<\/span> 6<\/span>),<\/span> data<\/span>):<\/span>\n        plt<\/span>.<\/span>subplot<\/span>(<\/span>1<\/span>,<\/span> 5<\/span>,<\/span> i<\/span>)<\/span>\n        plt<\/span>.<\/span>imshow<\/span>(<\/span>X<\/span>=<\/span>im<\/span>)<\/span>\n        plt<\/span>.<\/span>xticks<\/span>(<\/span>ticks<\/span>=<\/span>[])<\/span>\n        plt<\/span>.<\/span>yticks<\/span>(<\/span>ticks<\/span>=<\/span>[])<\/span>\n    plt<\/span>.<\/span>tight_layout<\/span>()<\/span>\n    plt<\/span>.<\/span>show<\/span>()<\/span>\n\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>origin_data<\/span>\"<\/span>)<\/span>\nprint<\/span>()<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>m0_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m0_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>m1_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m1_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>m2_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m2_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>m5_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m5_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>m10_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m10_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>m25_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m25_data<\/span>\"<\/span>)<\/span>\nprint<\/span>()<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>no1000m0_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m0_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>no1000m1_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m1_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>no1000m2_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m2_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>no1000m5_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m5_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>no1000m10_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m10_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>no1000m25_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m25_data<\/span>\"<\/span>)<\/span>\nprint<\/span>()<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>m0nmb1000_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m0nmb1000_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>m1nmb1000_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m1nmb1000_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>m2nmb1000_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m2nmb1000_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>m5nmb1000_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m5nmb1000_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>m10nmb1000_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m10nmb1000_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>m25nmb1000_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m25nmb1000_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>m50nmb1000_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m50nmb1000_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>m100nmb1000_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m100nmb1000_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>m500nmb1000_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m500nmb1000_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>m999nmb1000_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m999nmb1000_data<\/span>\"<\/span>)<\/span>\nprint<\/span>()<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>no1000m0nmb1000_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m0nmb1000_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>no1000m1nmb1000_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m1nmb1000_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>no1000m2nmb1000_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m2nmb1000_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>no1000m5nmb1000_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m5nmb1000_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>no1000m10nmb1000_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m10nmb1000_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>no1000m25nmb1000_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m25nmb1000_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>no1000m50nmb1000_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m50nmb1000_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>no1000m100nmb1000_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m100nmb1000_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>no1000m500nmb1000_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m500nmb1000_data<\/span>\"<\/span>)<\/span>\nshow_images1<\/span>(<\/span>data<\/span>=<\/span>no1000m999nmb1000_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m999nmb1000_data<\/span>\"<\/span>)<\/span>\n\n# \u2193 \u2193 \u2193 \u2193 \u2193 \u2193 The code below is identical to the code above. \u2193 \u2193 \u2193 \u2193 \u2193 \u2193\n<\/span>def<\/span> show_images2<\/span>(<\/span>data<\/span>,<\/span> main_title<\/span>=<\/span>None<\/span>,<\/span> no<\/span>=<\/span>2<\/span>,<\/span> m<\/span>=<\/span>9<\/span>,<\/span> nmb<\/span>=<\/span>31<\/span>,<\/span>\n                 ip<\/span>=<\/span>InterpolationMode<\/span>.<\/span>NEAREST<\/span>,<\/span> f<\/span>=<\/span>None<\/span>):<\/span>\n    plt<\/span>.<\/span>figure<\/span>(<\/span>figsize<\/span>=<\/span>[<\/span>10<\/span>,<\/span> 5<\/span>])<\/span>\n    plt<\/span>.<\/span>suptitle<\/span>(<\/span>t<\/span>=<\/span>main_title<\/span>,<\/span> y<\/span>=<\/span>0.8<\/span>,<\/span> fontsize<\/span>=<\/span>14<\/span>)<\/span>\n    if<\/span> main_title<\/span> !=<\/span> \"<\/span>origin_data<\/span>\"<\/span>:<\/span>\n        for<\/span> i<\/span>,<\/span> (<\/span>im<\/span>,<\/span> _<\/span>)<\/span> in<\/span> zip<\/span>(<\/span>range<\/span>(<\/span>1<\/span>,<\/span> 6<\/span>),<\/span> data<\/span>):<\/span>\n            plt<\/span>.<\/span>subplot<\/span>(<\/span>1<\/span>,<\/span> 5<\/span>,<\/span> i<\/span>)<\/span>\n            ra<\/span> =<\/span> RandAugment<\/span>(<\/span>num_ops<\/span>=<\/span>no<\/span>,<\/span> magnitude<\/span>=<\/span>m<\/span>,<\/span>\n                             num_magnitude_bins<\/span>=<\/span>nmb<\/span>,<\/span>\n                             interpolation<\/span>=<\/span>ip<\/span>,<\/span> fill<\/span>=<\/span>f<\/span>)<\/span>\n            plt<\/span>.<\/span>imshow<\/span>(<\/span>X<\/span>=<\/span>ra<\/span>(<\/span>im<\/span>))<\/span>\n            plt<\/span>.<\/span>xticks<\/span>(<\/span>ticks<\/span>=<\/span>[])<\/span>\n            plt<\/span>.<\/span>yticks<\/span>(<\/span>ticks<\/span>=<\/span>[])<\/span>\n    else<\/span>:<\/span>\n        for<\/span> i<\/span>,<\/span> (<\/span>im<\/span>,<\/span> _<\/span>)<\/span> in<\/span> zip<\/span>(<\/span>range<\/span>(<\/span>1<\/span>,<\/span> 6<\/span>),<\/span> data<\/span>):<\/span>\n            plt<\/span>.<\/span>subplot<\/span>(<\/span>1<\/span>,<\/span> 5<\/span>,<\/span> i<\/span>)<\/span>\n            plt<\/span>.<\/span>imshow<\/span>(<\/span>X<\/span>=<\/span>im<\/span>)<\/span>\n            plt<\/span>.<\/span>xticks<\/span>(<\/span>ticks<\/span>=<\/span>[])<\/span>\n            plt<\/span>.<\/span>yticks<\/span>(<\/span>ticks<\/span>=<\/span>[])<\/span>\n    plt<\/span>.<\/span>tight_layout<\/span>()<\/span>\n    plt<\/span>.<\/span>show<\/span>()<\/span>\n\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>origin_data<\/span>\"<\/span>)<\/span>\nprint<\/span>()<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m0_data<\/span>\"<\/span>,<\/span> m<\/span>=<\/span>0<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m1_data<\/span>\"<\/span>,<\/span> m<\/span>=<\/span>1<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m2_data<\/span>\"<\/span>,<\/span> m<\/span>=<\/span>2<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m5_data<\/span>\"<\/span>,<\/span> m<\/span>=<\/span>5<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m10_data<\/span>\"<\/span>,<\/span> m<\/span>=<\/span>10<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m25_data<\/span>\"<\/span>,<\/span> m<\/span>=<\/span>25<\/span>)<\/span>\nprint<\/span>()<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m0_data<\/span>\"<\/span>,<\/span> no<\/span>=<\/span>1000<\/span>,<\/span> m<\/span>=<\/span>0<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m1_data<\/span>\"<\/span>,<\/span> no<\/span>=<\/span>1000<\/span>,<\/span> m<\/span>=<\/span>1<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m2_data<\/span>\"<\/span>,<\/span> no<\/span>=<\/span>1000<\/span>,<\/span> m<\/span>=<\/span>2<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m5_data<\/span>\"<\/span>,<\/span> no<\/span>=<\/span>1000<\/span>,<\/span> m<\/span>=<\/span>5<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m10_data<\/span>\"<\/span>,<\/span> no<\/span>=<\/span>1000<\/span>,<\/span> m<\/span>=<\/span>10<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m25_data<\/span>\"<\/span>,<\/span> no<\/span>=<\/span>1000<\/span>,<\/span> m<\/span>=<\/span>25<\/span>)<\/span>\nprint<\/span>()<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m0nmb1000_data<\/span>\"<\/span>,<\/span> m<\/span>=<\/span>0<\/span>,<\/span> nmb<\/span>=<\/span>1000<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m1nmb1000_data<\/span>\"<\/span>,<\/span> m<\/span>=<\/span>1<\/span>,<\/span> nmb<\/span>=<\/span>1000<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m2nmb1000_data<\/span>\"<\/span>,<\/span> m<\/span>=<\/span>2<\/span>,<\/span> nmb<\/span>=<\/span>1000<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m5nmb1000_data<\/span>\"<\/span>,<\/span> m<\/span>=<\/span>5<\/span>,<\/span> nmb<\/span>=<\/span>1000<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m10nmb1000_data<\/span>\"<\/span>,<\/span> m<\/span>=<\/span>10<\/span>,<\/span> nmb<\/span>=<\/span>1000<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m25nmb1000_data<\/span>\"<\/span>,<\/span> m<\/span>=<\/span>25<\/span>,<\/span> nmb<\/span>=<\/span>1000<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m50nmb1000_data<\/span>\"<\/span>,<\/span> m<\/span>=<\/span>50<\/span>,<\/span> nmb<\/span>=<\/span>1000<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m100nmb1000_data<\/span>\"<\/span>,<\/span> m<\/span>=<\/span>100<\/span>,<\/span> nmb<\/span>=<\/span>1000<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m500nmb1000_data<\/span>\"<\/span>,<\/span> m<\/span>=<\/span>500<\/span>,<\/span> nmb<\/span>=<\/span>1000<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>m999nmb1000_data<\/span>\"<\/span>,<\/span> m<\/span>=<\/span>999<\/span>,<\/span> nmb<\/span>=<\/span>1000<\/span>)<\/span>\nprint<\/span>()<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m0nmb1000_data<\/span>\"<\/span>,<\/span> no<\/span>=<\/span>1000<\/span>,<\/span> m<\/span>=<\/span>0<\/span>,<\/span>\n             nmb<\/span>=<\/span>1000<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m1nmb1000_data<\/span>\"<\/span>,<\/span> no<\/span>=<\/span>1000<\/span>,<\/span> m<\/span>=<\/span>1<\/span>,<\/span>\n             nmb<\/span>=<\/span>1000<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m2nmb1000_data<\/span>\"<\/span>,<\/span> no<\/span>=<\/span>1000<\/span>,<\/span> m<\/span>=<\/span>2<\/span>,<\/span>\n             nmb<\/span>=<\/span>1000<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m5nmb1000_data<\/span>\"<\/span>,<\/span> no<\/span>=<\/span>1000<\/span>,<\/span> m<\/span>=<\/span>5<\/span>,<\/span>\n             nmb<\/span>=<\/span>1000<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m10nmb1000_data<\/span>\"<\/span>,<\/span> no<\/span>=<\/span>1000<\/span>,<\/span>\n             m<\/span>=<\/span>10<\/span>,<\/span> nmb<\/span>=<\/span>1000<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m25nmb1000_data<\/span>\"<\/span>,<\/span> no<\/span>=<\/span>1000<\/span>,<\/span>\n             m<\/span>=<\/span>25<\/span>,<\/span> nmb<\/span>=<\/span>1000<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m50nmb1000_data<\/span>\"<\/span>,<\/span> no<\/span>=<\/span>1000<\/span>,<\/span>\n             m<\/span>=<\/span>50<\/span>,<\/span> nmb<\/span>=<\/span>1000<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m100nmb1000_data<\/span>\"<\/span>,<\/span> no<\/span>=<\/span>1000<\/span>,<\/span>\n             m<\/span>=<\/span>100<\/span>,<\/span> nmb<\/span>=<\/span>1000<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m500nmb1000_data<\/span>\"<\/span>,<\/span> no<\/span>=<\/span>1000<\/span>,<\/span>\n             m<\/span>=<\/span>500<\/span>,<\/span> nmb<\/span>=<\/span>1000<\/span>)<\/span>\nshow_images2<\/span>(<\/span>data<\/span>=<\/span>origin_data<\/span>,<\/span> main_title<\/span>=<\/span>\"<\/span>no1000m999nmb1000_data<\/span>\"<\/span>,<\/span> no<\/span>=<\/span>1000<\/span>,<\/span>\n             m<\/span>=<\/span>999<\/span>,<\/span> nmb<\/span>=<\/span>1000<\/span>)<\/span>\n<\/code><\/pre>\n
\n
\n    \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u0631\u0627 \u0648\u0627\u0631\u062f \u06a9\u0646\u06cc\u062f<\/title>\n    \n<\/svg><\/p>\n
    \u0627\u0632 \u062d\u0627\u0644\u062a \u062a\u0645\u0627\u0645 \u0635\u0641\u062d\u0647 \u062e\u0627\u0631\u062c \u0634\u0648\u06cc\u062f<\/title>\n    \n<\/svg><\/p>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"
from torchvision.datasets import OxfordIIITPet from torchvision.transforms.v2 import RandAugment from torchvision.transforms.functional import InterpolationMode origin_data = OxfordIIITPet( root=”data”, transform=None ) m0_data = OxfordIIITPet( # `m` is magnitude. root=”data”, transform=RandAugment(magnitude=0) ) m1_data = OxfordIIITPet( root=”data”, transform=RandAugment(magnitude=1) ) m2_data = OxfordIIITPet( root=”data”, transform=RandAugment(magnitude=2) ) m5_data = OxfordIIITPet( root=”data”, transform=RandAugment(magnitude=5) ) m10_data = OxfordIIITPet( root=”data”, transform=RandAugment(magnitude=10) ) m25_data = OxfordIIITPet( …<\/p>\n","protected":false},"author":2,"featured_media":99347,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/media2.dev.to\/dynamic\/image\/width=1000,height=500,fit=cover,gravity=auto,format=auto\/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Ft3qfzhlvh0k1bd43stmt.png","fifu_image_alt":"","footnotes":""},"categories":[339],"tags":[],"class_list":["post-99346","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-dev"],"_links":{"self":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts\/99346","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/comments?post=99346"}],"version-history":[{"count":0,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/posts\/99346\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/media\/99347"}],"wp:attachment":[{"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/media?parent=99346"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/categories?post=99346"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nabfollower.com\/blog\/wp-json\/wp\/v2\/tags?post=99346"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}