Comments (3)
Thank you for the question!
Take a look at how we instantiate InceptionV3 keras_modeling.py. The input_shape is inferred from the examples. InceptionV3 can handle any number of channels provided you are not using the imagenet
classifier.
documentation mentions 3 channels if you are using the imagenet
preset, and load the weights pre-trained on ImageNet. This is not the case if you set weights=None
.
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@lucasbrambrink Thank you for your reply! Now If I want to use the pretrained Inceptionv3 of deepvariant, where can i get the model?
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Sure! You can find the checkpoints for each sequencing technology at gs://deepvariant/models/DeepVariant/1.6.1/checkpoints/
. For example, the model for Illumina data can be found at gs://deepvariant/models/DeepVariant/1.6.1/checkpoints/wgs/deepvariant.wgs.ckpt
. These models are mounted in our Dockerfile
Take a look at our custom training case study if you want to learn more.
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