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#!/bin/bash
# Extract jpgs from videos inside categorized folders for Inception training
for d in */ ;
do
	for i in $d/*.mp4;
	do
		mkdir $d/$d;
		ffmpeg -i "$i" -r 10 "${d}/${d}/`basename "${i}"-%04d`.jpg";
	done;
done

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python ~/tensorflow/tensorflow/examples/image_retraining/retrain.py \
--bottleneck_dir=bottlenecks_sg \
--model_dir=inception \
--output_graph=bottlenecks_sg/retrained_graph.pb \
--output_labels=bottlenecks_sg/retrained_labels.txt \
--image_dir multimodal_jpg \
--summaries_dir summaries_sg

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for i in *.h264;
	do
		
		MP4Box -add $i `basename "${i}"`.mp4;
	done;

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def load_data(data_dir, labels):
    X_signals_train = np.zeros((1,9))
    X_signals_test = np.zeros((1,9))
    y_train = np.zeros([1,1])
    y_test = np.zeros([1,1])
    for label in labels:
        for root, dirs, files in os.walk(data_dir + "/" + label):
            for filename in files:
                signal = genfromtxt(data_dir + "/" + label + "/" + filename, delimiter=',')
                #print (signal)

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import csv
import glob

file_list = glob.glob("*/*.csv")
print(file_list)
for file_name in file_list:
    with open(file_name, "r") as source:
        rdr = csv.reader(source)

        with open(file_name+"-lstm", "w") as result:

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Viewing IPython notebooks in GitLab

GitLab is open source software to collaborate on code (a GitHub clone to run on your own server). Clicking a blob (a file in a repository) in GitLab shows a nice rendering if GitLab supports the file type (e.g., images, Markdown documents), or its content as plain text otherwise. The patch described here adds support to GitLab for rendering IPython notebooks (.ipynb files).

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import imageio
import os
import numpy as np
import tensorflow as tf
import tflearn
import pickle
from collections import deque
from sklearn.model_selection import train_test_split
from tflearn.data_utils import to_categorical

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import tensorflow as tf
import tflearn
import os
import numpy as np
import time

from collections import deque
from sklearn.model_selection import train_test_split
from tflearn.data_utils import to_categorical

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Contract Killer

The popular open-source contract for web professionals by Stuff & Nonsense

• Originally published: 23rd December 2008
• Revised date: March 15th 2016
• Original post

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rchgit