siamese-network | Implementation of Siamese Neural Network in Caffe | Machine Learning library
kandi X-RAY | siamese-network Summary
kandi X-RAY | siamese-network Summary
This is an implementation of the Inception V1 GoogleNet Siamese Neural Network (inspired by the work of Koch et al.). Network was trained using categories coming from the ILSVRC 2012 challange. Used net surgery to duplicate the Inception Network and copy its pretrained weights to its Siamese version.
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Top functions reviewed by kandi - BETA
- Init the network .
- Splits a list of pairs into four text files .
- Creates a list of pairwise pairs .
- Crop a matrix .
- Return random two images .
- Get all images in list
- Extract a single feature from an image .
siamese-network Key Features
siamese-network Examples and Code Snippets
Community Discussions
Trending Discussions on siamese-network
QUESTION
I am following a Siamese Network tutorial to build a face recognition model with tensorflow
...ANSWER
Answered 2020-Aug-24 at 21:08Try calling tf.keras.abs
like this:
QUESTION
I am trying to code a Siamese networks in Keras and Tensorflow, using this Jupiter Notebook as reference: https://github.com/hlamba28/One-Shot-Learning-with-Siamese-Networks/blob/master/Siamese%20on%20Omniglot%20Dataset.ipynb
When I create the model:
...ANSWER
Answered 2020-Jul-01 at 10:50For some reason this is calling the v2 tf.keras initializers instead of the compat.v1 initializers. You are using v1 tensorflow but trying to call a keyword from v2. To fix this please follow the steps to migrate to tensor flow V2 in the following link.
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Install siamese-network
You can use siamese-network like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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