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Introduction. In this post we want to present Our Image Segmentation library that is based on Tensorflow and TF-Slim library, share some insights and thoughts and demonstrate one application of Image Segmentation.. To be more precise, we trained FCN-32s, FCN-16s and FCN-8s models that were described in the paper “Fully Convolutional Networks for Semantic Segmentation” by Long et al. on ...
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This is great for making new models, but we also get the pre-trained models of ,keras,.applications (also seen elsewhere). This model can take input images that are 224 pixels on a side, so we have to make our image that size. It's pretty fun that this kind of super-easy access to quite good pre-trained models is now available all within the TensorFlow package. The thousand ImageNet categories ...
I would like to use a custom loss function which uses VGG19 network in ,Keras,. # imports from ,keras,.applications import VGG19 from ,keras,.layers import Input, UpSampling2D, Conv2D, Lambda from ,keras,.models import Model import ,keras,.backend as K I build the vgg model using:
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