rreece

import tensorflow as tf
from google.protobuf import text_format

##______________________________________________________________________________
def model_fn(features, labels, mode, params, pbtxt):

    ...

    optimizer = tf.train.AdamOptimizer(learning_rate=params['lr'])
    train_op = optimizer.minimize(loss, global_step=tf.train.get_global_step())

rreece

git clone git@github.com:GitUserOrOrg/repo.git

# create a new branch
git checkout -b rreece/branch1

# set my branch to track the master when i do git pull
#git branch --set-upstream rreece/branch1 origin/master # deprecated
git branch --set-upstream-to origin/master

# show branches

rreece

"""
Should follow:
https://en.wikipedia.org/wiki/ISO_8601

See also:
-   https://stackoverflow.com/questions/2150739/iso-time-iso-8601-in-python
"""

import time
timestamp = time.strftime('%Y-%m-%d-%Hh%M')    # '2019-02-14-16h20'

rreece

"""
Taken from here:
https://github.com/thumbor/thumbor/issues/116
"""

def crop_surrounding_whitespace(image):
    """Remove surrounding empty space around an image.

    This implemenation assumes that the surrounding space has the same colour
    as the top leftmost pixel.

rreece

from __future__ import print_function

import multiprocessing
import ctypes
import numpy as np

def shared_array(shape):
    """
    Form a shared memory numpy array.
    

rreece

import tensorflow as tf
from google.protobuf.json_format import MessageToJson

filename = 'myfile.tfrecords'

for record_str in tf.python_io.tf_record_iterator(filename):
    example = tf.train.Example.FromString(record_str)
    json = MessageToJson(example)
    print(json)

rreece

def print_total_parameters():
    total_parameters = 0 
    for variable in tf.trainable_variables():
        # shape is an array of tf.Dimension
        shape = variable.get_shape()
        variable_parameters = 1 
        for dim in shape:
            variable_parameters *= dim.value
        print('%s  dim=%i shape=%s params=%i' % ( 
                    variable.name,

rreece

import tensorflow as tf

def segment_mean(x, bounds):
    n = len(bounds)
    segs = [ 
        tf.reduce_mean(x[:,bounds[i]:bounds[i+1]], axis=1) for i in range(n-1)]
    y = tf.stack(segs, axis=1)
    return y

rreece

"""
Main training script.

Call by:

    python3 train.py --params=params.yaml
"""

import argparse
import numpy as np

rreece

To remove a submodule you need to:

• Delete the relevant section from the .gitmodules file.
• Stage the .gitmodules changes git add .gitmodules
• Delete the relevant section from .git/config.
• Run git rm --cached path_to_submodule (no trailing slash).
• Run rm -rf .git/modules/path_to_submodule (no trailing slash).
• Commit git commit -m "Removed submodule "
• Delete the now untracked submodule files rm -rf path_to_submodule