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deep learning for image processing including classification and object-detection etc.

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在训练完第一个epoch就出现了这样的错误,请问是出了什么问题吗 IoU metric: keypoints Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.358 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets= 20 ]...

如果我的数据集只有一个类别,这时候输出的指标里MAP和AP50应该差不多吧?为什么MAP才0.3,AP50倒是有0.7。怎么修改相应指标呢,如果我想输出其他的指标,例如准确率,召回率或者自定义的一些指标

**System information** * Have I written custom code: * OS Platform(e.g., window10 or Linux Ubuntu 16.04): * Python version: * Deep learning framework and version(e.g., Tensorflow2.1 or Pytorch1.3): * Use...

**System information** * Have I written custom code: * OS Platform(e.g., window10 or Linux Ubuntu 16.04): * Python version: * Deep learning framework and version(e.g., Tensorflow2.1 or Pytorch1.3): * Use...

**System information** * Have I written custom code: No * OS Platform(e.g., window10 or Linux Ubuntu 16.04): Ubuntu18.104 * Python version: 3.7 * Deep learning framework and version(e.g., Tensorflow2.1 or...

您好,我如果想要將VIT中的layer normalization替換成batch normalization請問該怎麼做? 感謝

修复一处拼写错误一处语法错误

使用博主的代码生成的pth文件是这种zip的形式 ![2023-03-02 18-24-41 的屏幕截图](https://user-images.githubusercontent.com/55937464/222401969-a9c2961d-24b5-49f1-aa43-88920b6f2351.png) 打开后里面是这个样子的 ![2023-03-02 18-24-50 的屏幕截图](https://user-images.githubusercontent.com/55937464/222402091-b29ecc26-6523-4775-a420-74da6c207380.png) ![2023-03-02 18-24-56 的屏幕截图](https://user-images.githubusercontent.com/55937464/222402119-f565cc7a-7243-4ee0-93ba-6f6bfcfdddd2.png) 所以在运行predict.py时会读取不了我的pth文件。怎么做到和官方的预训练权重(如下图pth)一致的格式呢? ![2023-03-02 18-25-10 的屏幕截图](https://user-images.githubusercontent.com/55937464/222402397-ec302687-4474-4bec-99fb-fd07d6856bf7.png)