Comments (4)
@zhaojianghe16 You may not pull the newest code. The test data now is test_1.png, test_2.png and test_3.png. You may test them.
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@zhaojianghe16 You can also test the model on the origin dataset supplied by the origin author
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Hi. Thank you for your quick response.
Did you mean "You may now pull the newest code." instead of "not"? I am not sure what you meant. Thanks.
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@zhaojianghe16 Yep you can update the repo and test the model on the data/test_data/*.png. If there is something wrong you can put the result here:)
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Related Issues (20)
- test_model.py中的label_path HOT 8
- 归一化层 HOT 2
- tf_io_pipline_tools模块引用错误
- 训练自己图片集有问题
- batch size HOT 2
- vgg16.npy HOT 1
- the bug HOT 3
- How to run this project at google colab ? HOT 1
- Colab Test HOT 2
- question about dataset
- Performance issues in /data_provider (by P3) HOT 1
- no file named "./data/vgg16.npy" HOT 4
- 训练时Discriminator的loss不收敛问题 HOT 4
- Question HOT 7
- no pretrained model "vgg16.npy"
- 關於訓練數據的問題(About train dataset size problem) HOT 1
- 测试的问题 HOT 1
- complexity
- 关于train_model.py文件无法正常运行 HOT 1
- loss function problem HOT 6
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