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An all-in-one toolkit for computer vision

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如题:想在JAVA中使用训练的模型进行图像预测,但是不知道该如何使用,还请指点下

**Describe the feature** Feature description **Motivation** A clear and concise description of the motivation of the feature. Ex1. It is inconvenient when [....]. Ex2. There is a recent paper [....],...

1. designer分类组件的resnet50支持jit导出 2. class_list支持文件读取

# Welcome update to OpenMMLab 2.0 I am Vansin, the technical operator of OpenMMLab. In September of last year, we announced the release of OpenMMLab 2.0 at the World Artificial...

Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily get feedback. If you do not understand...

Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily get feedback. If you do not understand...

**Describe the feature** 作者您好,当前推理时只能得到backbone的输出或者projector_q的输出,我希望可以得到最终predictor的输出,直接用于以图搜图。 在模型导出时,当前将MoBY导出为一个分类模型,舍弃了MoBY的head(即predictor),添加了一个dummy classification head。 我也可以自己实现,但是因为EasyCV包了很多层,可以实现的方式比较多,你们会官方来实现吗,或者给些建议,最elegant的实现方式。 如果我实现了可以pull request吗? 谢谢

eval方式top1分类准确率如图 ![image](https://user-images.githubusercontent.com/26326479/201629973-6279dd50-1c84-4055-9f85-1c84ac2e5f77.png) 将模型导出后,同样的数据进行预测,准确率10%都不到 使用ResNet50

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