Comments (1)
可结合该仓库https://github.com/xmu-xiaoma666/External-Attention-pytorch
自行添加注意力机制
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Related Issues (20)
- 测试单张图片时报错: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU. HOT 2
- loss
- 模型保存
- 细粒度分类算法 HOT 2
- 制作数据集信息文件时,发生ValueError:too mach values to unpack(expected 2) HOT 2
- 加载权重文件失败 HOT 1
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- upup,为啥只有训练loss和验证acc HOT 4
- 数据集问题 HOT 1
- 能否批量输出类激活图 HOT 2
- 是否支持训练视频分类?
- 怎么用训练好的模型批量预测呀 HOT 4
- 作者您好,请教关于mobilenetv3 small的输出维度问题 HOT 1
- Loss损失函数问题 HOT 1
- opencv_python、opencv_contrib_python、opencv-python-headless 的版本用的多少啊,总是说我的版本不匹配 HOT 1
- 1.电脑有两个GPU 0和1,如何改代码使它使用GPU1呀。2.CUDA out of memory这个问题是因为什么呀 HOT 1
- 请问这个报错:AttributeError: 'EfficientFormerClsHead' object has no attribute 'post_process',没有post_process()方法? HOT 6
- 怎么导出.wts HOT 1
- 1
- 怎么改变批量预测的结果字体的大小 HOT 7
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