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I was trying to fine-tune a VGG_16 and I noticed that, on the same data and with the same model, running the training with DIGITS needs about 2GB of additional GPU memory with respect to the training …
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When I use FCN32s_model_iter_xxx.h5 to test image, everything is ok. However, when using FCN16s_model_iter_xxx.h5 in "infer.py":
if osp.basename(chainermodel).lower().startswith('fcn32s'):
…
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I am not familiar with matconvnet and it seems very messy.
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There isn't much documentation on how to run a keras model with image tensors loaded from a TFRecord, there is the [keras as a simplified interface to tensorflow](https://blog.keras.io/keras-as-a-simp…
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Hi,
Is it possible to release the fcn8s model that is trained on COCO and produces 69.85% on the reduced pascal voc 2012 validation set ? I would like to use that model to train the RNN layer.
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Hi, I'm new to the area of deep learning, so please forgive if I get some terminology wrong.
I'm trying to train a Fully Convolution Network (FCN) to perform semantic segmentation. I am attempting to…
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Hi,
Thanks for sharing the code, I tried `fcn8s_tvg_for_rnncrf.ipynb`, and it gets the following error message, which is caused by `fcn32model = fcn32_blank(image_size)
`
would you like to take …
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Dear All,
Just curious, are there any workable fully convolutional network implementation using Keras? One of the essential operation in FCN is deconvolutional operation, which seems to be able to …
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### Issue summary
Training FCN fails with Check failed: status == CUBLAS_STATUS_SUCCESS (11 vs. 0) CUBLAS_STATUS_MAPPING_ERROR
Should there be a clearer error message? What causes this error?
I0…