Comments (3)
你好,由于这个账号我目前无法登陆,所以很多信息没办法更新上去,我先用新的账号回复一下。
- 当时放这个repo的时候,我们有在issue里回答说这个repo不是我们训练测试实际采用的文件,只是放出来给大家参考一下,我们在自己的代码中关于实时性精度测试的时候是没有用crop这些操作的;
- 关于速度测试这一点我们也有在issue里回答过,有没有cuda同步命令不影响我们模型的速度;
- 由于这个文章比较久了,训练的代码没有保存下来,但是保留了部分训练权重,我重新上传一份(密码1234),大家可以下载测试;
- 我们的模型在训练时精度浮动会比较大,这是模型的一个缺点,当时也是训练多次才得到最佳的精度;
- 之前的邮箱已经弃用了,如果有论文相关的问题可以通过这个新邮箱([email protected])联系我,我会及时解答。
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4,那你的model在哪呢??
#13 (comment)
另外不能1024 * 512 测速度,却报告全图结果。这是常识性错误。你的结果是真的1024 * 512 出来的嘛?
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Related Issues (17)
- memory usage and fps on CPU-Only HOT 2
- The release of the code HOT 3
- 2 class segmentation HOT 2
- There is no train.py HOT 2
- Loading the pretrained model HOT 4
- FPs question HOT 3
- Quantization and Pruning HOT 1
- 关于test数据集的小问题 HOT 2
- Visualization result of AFM,SAM and Predicting HOT 4
- Quantitive results of AttaNet HOT 14
- About training Dataset HOT 2
- 关于精度和速度的测试问题 HOT 8
- Trained Models 百度网盘失效了,能再上传一份么 HOT 4
- Is there has a python file for the ade20k dataset except for the cityscapes?
- 关于速度测试 HOT 2
- Structural issues with the Strip Attention Module HOT 1
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