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Handle hdf5 input efficiently.
Options:
- Implement `tf.keras.Model.train_step` to take advantage of the Keras input pipeline
- Figure out how to performantly load from hdf5 with `tensorflow.io`…
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Hi Haozhe, thank you for your codes! As I read from your paper and the ReadMe, you used MOCO to first train the NOCO++ dataset in the self-supervised way. Am I right? Could you please share your pre-t…
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近期拜读到您写在ISPRS上Self-supervised pre-training for large-scale crop mapping using Sentinel-2 time series文章,想要尝试自己使用代码复现一下,但是在使用代码里面的main_moco.py代码时,使用get_moco_model函数建立MoCo数据集时程序会报错,具体是在builder.py里面的self.…
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When attempting to load the pre-trained Moco V2 model, trained on 800 epochs (https://dl.fbaipublicfiles.com/moco/moco_checkpoints/moco_v2_800ep/moco_v2_800ep_pretrain.pth.tar), I am getting the follo…
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Is it supported that get Moco running in a servlet environment? For example, we configure a servlet in web.xml like
``` xml
MocoServlet
com.github.dreamhead.moco.MocoServlet
responseFile
…
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There is a slight shift in the GT segmentations of PSIR and STIR contrasts of the `canproco` dataset. We used these shifted segmentations in training the contrast-agnostic [model v2.4](https://github.…
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invalid argument '-std=c++0x' not allowed with 'C/ObjC'
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Hi, thank you for sharing the nice work. I notice the result of SupContrast with Moco trick on ImageNet 79.1. Do you have the plan to push the code here? It would be helpful to see that. Thanks! …
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