BrianPugh

# Recursively copy all the avi videos in some file structure to a flat folder
# Source: https://stackoverflow.com/a/1936214
find . -iname '*.avi' -exec cp \{\} ../videos/ \;

# ffmpeg convert avi to mp4
ffmpeg -i infile.avi youroutput.mp4

# Convert all avi's in a folder to mp4 with ffmpeg
# Source: https://stackoverflow.com/a/33766147
for i in *.avi; do ffmpeg -i "$i" -vf "scale=trunc(iw/2)*2:trunc(ih/2)*2" "${i%.*}.mp4"; done

BrianPugh

BrianPugh

BrianPugh

#!/user/bin/env python

'''
This is a template file to get your project on the road quickly!

Last updated: July 27th, 2017
'''

__author__  = 'Brian Pugh'
__email__   = '[email protected]'

BrianPugh

def optimistic_restore(session, save_file, variable_scope=''):
    '''
    A Caffe-style restore that loads in variables
    if they exist in both the checkpoint file and the current graph.
    Call this after running the global init op.
    By DanielGordon10 on December 27, 2016
    https://github.com/tensorflow/tensorflow/issues/312
    With RalphMao tweak.

    bpugh, July 21, 2017: Added a variable_scope so that a network can be

BrianPugh

def get_checkpoints(checkpoint_dir):
    '''
    Finds all checkpoints in a directory and returns them in order
    from least iterations to most iterations
    '''
    meta_list=[]
    for file in os.listdir(checkpoint_dir):
        if file.endswith('.meta'):
            meta_list.append(os.path.join(checkpoint_dir, file[:-5]))
    meta_list = sort_nicely(meta_list)

BrianPugh

Create a tmux conf file
#> touch ~/.tmux.conf

Install TMP
#> git clone https://github.com/tmux-plugins/tpm ~/.tmux/plugins/tpm

[Copy and paste tmux.conf below into local file.]

Load tmux configurations
#> tmux source-file ~/.tmux.conf