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how to locate from a image or convert a npy like runners/tests/localization_test_data_stairs_1.npy?
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I am trying to train my own model on my own dataset. The repo provides the[ training code](https://github.com/NahyeKim/DeepBE/blob/master/training_code/Proportion_train.py) but the training dataset is…
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I am trying to train the network on a custom dataset where I have the rgb images and panoptic labels in png format.
I am following your tip and trying to get the labels in coco format.
and I have …
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Thanks for your great work and kindly open source to the public community!
I am wondering how to finetune(or maybe other correct terms) this model with my own dataset? I read the [training](https://…
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If I have some images of my own and want to use this model to train, how will I go about it? New to torch here.
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So I am trying to train a relatively large dataset of over 160,000 images for hand detection. I think I understand the code for the most part. Running in Spyder, tensorflow version 1.6.0 and keras ver…
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Hello, thank you for sharing the code.
But I got some trouble training my own data. I was wondering if anyone can share their own training code including preparing data for network and the training p…
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Hey! really excited about this tool and thrilled to see more progress being made on Visium HD! Currently, it seems the primary methods in enact for cell annotation rely on cell markers or pre-trained …
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Thanks for this great work!
Can you tell me how to train with my own dataset? I am a little confused with the construction of the dataset.
Can you help me? Thanks so much.
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Hello, I am excited about this amazing work, but I want to make it train on my own ITW dataset, so I am wondering the release of preprocess script to extract neccessary information.