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hello,i meet some problem when i frist time run the code.
error:
```
different_c_index = np.random.choice(range(0, self.types - 1), 1)
File "mtrand.pyx", line 915, in numpy.random.mtrand.R…
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I trained Imagenet using 32 GPUs via horovod (8V100*4) but got acc 77.1% which was much less than 78.6% reported in your paper by running:
python train.py -c confs/resnet50_imagenet_b4096.yaml -…
ehion updated
4 years ago
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I'm trying to convert [EfficientNet-b5 with noisy student](https://storage.googleapis.com/cloud-tpu-checkpoints/efficientnet/noisystudent/noisy_student_efficientnet-b5.tar.gz) for OpenVino. I've done …
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I'm trying to use the json file generated by autoaugment but I keep getting "ValueError: empty range for randrange() (0,-xx, -xx)"
The autoalbument is still training and generating new json for eac…
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### Backbone
* EfficientNet
* https://github.com/zhanghang1989/ResNeSt
### Pre-trained model
* better pre-trained model than ImageNet-1.2M pre-trained model
- Weakly supervised Instagram-1G (…
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Hello,
First thanks a lot for your impressive work!
I tried to train efficientnet-b0 on CIFAR100 dataset with input size 32*32. But can only reach top-1 accuracy 65%.
In your page you s…
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I use below arguments to train condconv-b0 model, which performs 21.7 top1 error reported in the original paper. But I got poor performance such as 22.67 top 1 error.
```
--model_name efficientne…
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https://github.com/tensorflow/tpu/blob/ea5d379424e4121d29d12ff611ec6a0705e01e94/models/official/efficientnet/autoaugment.py#L223
I noticed that the above line 'cut off' some bits on both side of ea…
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Hi, it seems two config files are missing when running the `extract_outputs.py` to produce depth or normal maps.
Could you provide the `mmdet_config_ori.py` and `mmdet_config_576.py`? Thanks!
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最近阅读了您的这篇‘Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation’论文，对于这篇论文，我深受启发，于是进行了复现。在复现过程中，因为imagenet数据集比较庞大，于是我使用了Tiny-imagenet数据集…