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Hi,
If **ANYONE** succeeded in reproducing the paper results, you are welcome to send your training code along with your huobi wallet address to me via zcy8123878@gmail.com. After checking the res…
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Hello,
I'm getting this error each time I'm trying to use augmentation.
> SuspiciousSingleImageShapeWarning: You provided a numpy array of shape (1024, 1024, 37) as a single-image augmentation inp…
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I think when training, it's better to dynamiclly generate various line style images instead of using the generated 2000+ dataset.
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Add reasonable image augmentation
- horizontal/vertical flip
- rotation
- zoom
- etc
Borda updated
4 years ago
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CUDA_LAUNCH_BLOCKING=1 python train.py --name nyuv2_VGGdeeplab_depthconv --dataset_mode nyuv2 --flip --scale --crop --colorjitter --depthconv --list dataset/sunrgbd_training.lst
------------ Options …
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### Description
We used the ["ASR with Transformer" colab notebook](https://colab.research.google.com/github/tensorflow/tensor2tensor/blob/master/tensor2tensor/notebooks/asr_transformer.ipynb) which …
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Hi!
Thanks a lot for the library, it really works well. The only thing I have issues with is the keypoint augmentation, which works sometimes but in other cases it returns a set of negative coordin…
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## 🚀 Feature
Learning directly from raw bayer images is an exciting idea that will take the entire learning step completely end-to-end. However, doing this presents it own challenges.
One of them …
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I propose we allow adding intrinsic/optional extensions on type augmentation or composite data types. This makes it a bit more natural to extend composite types analogous to using intrinsic/optional…
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Suppose I have plenty of pictures of a product, like shoes for example, but they are all on white background, centered and take 80% of the picture. Like when you [google shoes pictures](https://www.go…