Did you just check out / clone a repository and forget --recursive / --recurse-submodules? Well, do this:
git submodule update --init --recursive --remote
For information about why this nugget was lost and burried in another stack exchange article, see this: https://meta.stackoverflow.com/questions/400424/how-can-i-request-that-a-question-merge-be-reversed
| #!/usr/bin/env python | |
| from scipy.io import wavfile | |
| import os | |
| import numpy as np | |
| import argparse | |
| from tqdm import tqdm | |
| # Utility functions |
| """ | |
| Affine transforms implemented on torch tensors, and | |
| only requiring one interpolation | |
| Included: | |
| - Affine() | |
| - AffineCompose() | |
| - Rotation() | |
| - Translation() | |
| - Shear() |
| from keras.backend.tensorflow_backend import set_session | |
| import tensorflow as tf | |
| config = tf.ConfigProto() | |
| config.gpu_options.allow_growth=True | |
| set_session(tf.Session(config=config)) |
| """Perlin noise implementation.""" | |
| # Licensed under ISC | |
| from itertools import product | |
| import math | |
| import random | |
| def smoothstep(t): | |
| """Smooth curve with a zero derivative at 0 and 1, making it useful for | |
| interpolating. |
| n02119789 1 kit_fox | |
| n02100735 2 English_setter | |
| n02110185 3 Siberian_husky | |
| n02096294 4 Australian_terrier | |
| n02102040 5 English_springer | |
| n02066245 6 grey_whale | |
| n02509815 7 lesser_panda | |
| n02124075 8 Egyptian_cat | |
| n02417914 9 ibex | |
| n02123394 10 Persian_cat |
| # Make sure you grab the latest version | |
| curl -OL https://github.com/google/protobuf/releases/download/v3.2.0/protoc-3.2.0-linux-x86_64.zip | |
| # Unzip | |
| unzip protoc-3.2.0-linux-x86_64.zip -d protoc3 | |
| # Move protoc to /usr/local/bin/ | |
| sudo mv protoc3/bin/* /usr/local/bin/ | |
| # Move protoc3/include to /usr/local/include/ |
| import tensorflow as tf | |
| import numpy as np | |
| import os | |
| import zconfig | |
| import utils | |
| class DenoisingAutoencoder(object): | |
| """ Implementation of Denoising Autoencoders using TensorFlow. |
##VGG16 model for Keras
This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.
It has been obtained by directly converting the Caffe model provived by the authors.
Details about the network architecture can be found in the following arXiv paper:
Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan, A. Zisserman
Note on how to install caffe on Ubuntu. Sucessfully install using CPU, more information for GPU see this link
###Installation
lspci | grep -i nvidia