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market1501_evaluate icon market1501_evaluate

得到一个训练好的模型权重(基于resNet50),在reid领域,如何评估这个模型的好坏呢?在数据集上计算rank-k和mAP

reid_evaluate icon reid_evaluate

得到一个训练好的模型权重(基于resNet50),在reid领域,如何评估这个模型的好坏呢?在数据集上计算rank-k和mAP。本代码实现了在market1501上计算rank-k以及mAP。从创建数据集类(对图片以及文件名处理),创建dataloader加载数据集,创建模型类(resnet50),加载模型权重文件,计算rank-k&mAP一应俱全。代码可以直接运行

sd_localgenerate icon sd_localgenerate

将stable diffusion webui 部署到本地,使用python调取接口,做一个前端的套壳网站,输入指令,展示图片

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