Comments (5)
My suggestion is to modify the *.toml file instead. Config.py only has default values and will be overwrited by *.toml.
I think the code will only print config details once by default, but in your logs there are two different configurations. Does that mean the code print config details twice at the same time?
It will be helpful if you can provide more information about how you modified config.py.
It looks like you assigned values to global variables like 'gpu': [0, 1]
. The value of these global variables will be overwritten by the code at runtime, so you dont need to set these values.
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I found the error from docker .
But I have a new question, why do I train the model has 302.7MB , but gca-dist is 101.3MB?
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Yes, the checkpoint will be ~300MB if you saved all the states in your optimizer by default. I removed the Adam state_dict from the pretrained model provided in this repository to save some space.
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when I modified *toml file , I have a same problem about the FileNotFoundError: [Errno 2] No such file or directory: '/home/liyaoyi/dataset/coco_bg' . Can you tell me some suggestions to solve this problem ? thanks a lot. @kelisiya @
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Related Issues (20)
- About sample unknown point in the RandomCrop function HOT 2
- compose two fg maybe has one error ? HOT 1
- normalize trimap HOT 1
- StopIteration: No samples in loader. example: `iterator = iter(Prefetcher(loader)); data = next(iterator)` HOT 1
- training with new dataset HOT 11
- How to test high resolution imgs? HOT 4
- Why is resuming training is uncomment? HOT 2
- Exact training set HOT 2
- Is there a composition error? HOT 1
- FLOPs of the network
- recommended image size as input to network during training
- parameters and overfitting
- another encoder
- merged image?
- about the config HOT 1
- about training data
- AIM dataset
- 你好,我想问一下为什么trimap_channel是3呢?我在adobe数据集里发现trimap是单通道图
- Improving the results on real world images
- rotation augmentation
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