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All- Im trying to train my own dataset to detect a ball in an image. I have about 90 images in training dataset and similar in validation. Im using 2 images per GPU with 1 class, 30 epochs and 100 tra…
ft101 updated
4 years ago
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### Describe your proposal
We should post our own events on our website. This gives more content to our website and provides us with a permanent archive of TorontoJS events. If the events are stored …
dxnn updated
5 months ago
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We should try switching our augmentations library to [`kornia`](https://kornia.readthedocs.io/en/latest/index.html) as it allows for gpu accelerated augmentations which will be important since we have…
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Ready for review: cc @nesquena @timothy1ee
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in unity 2018.1b one can use the lightweight render pipeline. i was able to port the background shader, however it stayed black and only feature points were visualized. would be awesome if we had a wo…
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Hello,
I observed some strange behavior when launching a training on a server of 4 16GB P100 GPUs using:
`python -m torch.distributed.launch --nproc_per_node=4 --use_env main.py --coco_path /pat…
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I looked around the code a bit and didn't see an easy way to generate a large number of images to do a FID calculation. I'm thinking something like:
stylegan2-pytorch --generate 50000 --results_dir /…
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Hi CLoDSA team,
I am trying to make work your colab notebook on my data and I am not able to make it work through augmentor.applyAugmentation()
`-------------------------------------------------…
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I have combined the Chromakey and the Augmented image example from Sceneform, in order to detect images and replace them with a video. This is working quite well. Now I would like to do the same with …
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This causes Sulis stills to not get displayed without a client UI workaround that converts the event options in the sulis events into fake aux data (https://github.com/WHOIGit/ndsf-sealog-client/blob/…