1、生成TFRecord 1.图像+xml(注意xml中的文件名与图像名保持一致) 2.在utils.voc_classname_encoder.py中填入类别 3.运行utils.test_voc_utils.py，其中对应的图像，xml和结果地址填好 2、图像增强参数设置 1.填写 'image_augmentor_config' 3、模型参数设置 1.'config'填写：注意'mode'在训练时为'train' 4、开始训练Train_centernet.py 5、测试时'config'中'mode'为'test', centernet.load_weight()填写训练生成的模型参数， 其他类别、阈值等参数相应调整。
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loss nan
你好,我在训练https://github.com/Stick-To/CenterNet-tensorflow.git 的时候,几个epoch之后, loss 就nan了,不知道您遇到过没有?
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