def get_se_resnext50_32x4d_model(model_class, num_classes, model_file=None, pretrained=False): model = model_class(num_classes=1000, pretrained='imagenet' if pretrained else False) model = model_class(num_classes=1000, pretrained='imagenet' if pretrained else None) num_ftrs = model....
"runs/" + "May29_06-04-06_cs231n-1se_resnext50_32x4d-bs-64-clr0.006-0.0006-mom0.9-wd1e-5-scale0.3-0.6-rota15-cas-best-classes25-trainval" + "/model_best.pth.tar", # 0.6631, PW1 "runs/" + "May29_19-25-32_cs231n-1se_resnext101_32x4d-bs-64-lr0.006-mom0.9-wd1e-5...
"runs/" + "May23_21-11-42_cs231n-1se_resnext50_32x4d-bs-64-clr0.06-0.006-mom0.9-wd1e-5-cutout4-minscale0.4-rota15-cas" + "/model_best.pth.tar", # 0.655, PW1 "runs/" + "May24_07-07-00_cs231n-1se_resnext50_32x4d-bs-64-lr0.0006-mom0.9-wd1e-5-cutout4-minscale0.4-...
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Learn more OK, Got it.( ͡° ͜ʖ ͡°) · 5y ago· 143 views arrow_drop_up1 Copy & Edit2 more_vert se_resnext50_32x4d Inference Copied from private notebook (+44,-49)NotebookInputOutputLogsComments (0)comment 0 Comments Hotness ...
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