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Hi Matt,
As requested I've pulled together a reproducible example of the issue I'm facing with the recursive modeling. I have a hunch that because my transformer function has a variety of different…
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Sometimes we have to use tf.Session explicitly like distributed tensorflow. Example foleder gives an example layer.py but not work correctly because some layers like tflearn.dropout and tflearn.batch_…
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The groundtruth of SMPL trans parameters range varies widely for each dataset, How to let the network learn the correct trans, combined with the focal and the princpt to complete the correct projectio…
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@leoxiaobin My question is can i do training by combining all the available datasets, while, each of these datasets have different number of pose points? Or its not possible?
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Dear authors,
What is pretraining distribution of CTransPath and CHIEF? Is new CHIEF CTransPath model the same as previous one in Medical Image Analysis?
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@alpizano
I have successfully extracted position data from the YoloV3 Network. You can see it in this
['cropped_short.mp4.txt' text file](https://github.com/dkendall100/beating_roulette/files/3665…
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### Search before asking
- [x] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and fou…
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A straightforward approach to set up our training dataset is co-register all contrasts, so that we only need to perform one labeling per patient.
In order to always work in a fixed resolution, we …
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I have been trying to use your code to train an hog from the images from INIRIA database as you have suggested. For the training set i resized the images to 64x128 as it was required and these images …
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As mentioned in the original [paper](https://arxiv.org/pdf/1704.03155v2.pdf) (Session 3.3.1):
> The positive area of the quad- rangle on the score map is designed to be roughly a shrunk version of…