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SMP example: https://github.com/qubvel/segmentation_models.pytorch/blob/master/examples/cars%20segmentation%20(camvid).ipynb
2018 Data Science Bowl example: https://github.com/selimsef/dsb2018_topc…
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有没有使用paddle的mask-rcnn实现Nuclei分割的？
数据集来源：https:…
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Could you tell me how to use your code for original datasets?
Thanks to your guide, I was able to use your code against 2018 Data Science Bowl dataset
So I tried to use the original dataset, but I c…
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Even though I tried read the train_shapes.ipynb, I still don't know how to use it.Like the guidance tell me to override some functions(load_shapes(), load_image(), load_mask(),load_reference()) …
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Hi,
As mentioned in this discussion (https://www.kaggle.com/c/data-science-bowl-2018/discussion/54089) , we can use mask rcnn to segment small objects. However, when I tried mask rcnn on cell adhesio…
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It would be great to extract after download so kernels on kaggle could be easily run locally with a small prefix to download the data to ../input/
Some zip files are extracted into new folders (stage…
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Hi Jeet,
Good work on the Lung Cancer detection. I have a small request: would it be possible for you to send me the sample data (~20 images)
It would be a great help.
Thanks!
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Hope to see your final solution to the problem......And thanks for providing the environment for running the models...it made a lot of difference in running massive stackers :)
setuc updated
6 years ago
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Hi, I started MaskRCNN training on nuclei detection data science bowl 2018 dataset and was faced with an issue in model Loss: first 5 to 8 batches (size=3) could be trained with Loss = ~2.5, but after…
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Hi,
I used the data from https://www.kaggle.com/c/data-science-bowl-2018/data and tried to generate augmentations.
The original images and ground truth are perfectly matched:
![augmentor1b](htt…