| #!/usr/bin/env python3 | |
| import tensorflow as tf | |
| import pathlib | |
| data_dir = pathlib.Path.home() / 'datasets' / 'dogs-v-cats' / 'train' | |
| # data_dir = pathlib.Path.home() / 'datasets' / '10flowers' / 'images' | |
| batch_size = 32 | |
| img_height = 224 | |
| img_width = 224 |
| """Draw grid lines on an image. | |
| Usage: | |
| # To draw a 3x4 grid on an image | |
| $ python draw_grid_lines.py <path/to/image> <num_rows> <num_cols> -o <output/dir-or-path> | |
| $ python draw_grid_lines.py image.png 3 4 -o output.png | |
| # for more options, see | |
| $ python draw_grid_lines.py --help |
| #!/bin/bash | |
| # script to make terminal flash until any key is pressed | |
| # credit: | |
| # https://stackoverflow.com/questions/25532773/change-background-color-of-active-or-inactive-pane-in-tmux/33553372#33553372 | |
| # https://stackoverflow.com/questions/32009787/bash-how-can-the-terminal-be-set-to-flash | |
| # https://stackoverflow.com/questions/5297638/bash-how-to-end-infinite-loop-with-any-key-pressed | |
| # check if tmux version is < 2.1 | |
| tmux_is_old=$(awk -v n1="$(tmux -V| cut -d' ' -f2)" -v n2="2.1" 'BEGIN {printf (n1<n2?"1":"0")}') |
| """Parses Dominion (dominion.games) log to get decks. | |
| To use: create text file in your Downloads folder called "log.txt" | |
| and copy/paste the log into that file. Then run this script with python. | |
| """ | |
| from collections import deque | |
| import re | |
| from pathlib import Path | |
| firstname = input("What is your first name? ") | |
| lastname = input("What is your last name? ") | |
| fullname = firstname + " " + lastname | |
| age = int(input("What is your age? ")) | |
| address = input("What is your address? ") | |
| print("Hi {}.".format(fullname)) | |
| print("Your address is {}.".format(address)) | |
| if age >= 18: |
| # Copyright 2015 The TensorFlow Authors. All Rights Reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # probably about right | |
| def variance(samples): | |
| mean = sum(samples) / len(samples) | |
| return sum((x - mean)**2 for x in samples) / len(samples) | |
| # probably too short | |
| def var(s): | |
| m = sum(s) / len(s) | |
| return sum((x - m)**2 for x in s) / len(s) |
| """Implementation of RoI Pooling | |
| Credit: This is from tutorial available at | |
| https://medium.com/xplore-ai/992508b6592b | |
| """ | |
| import tensorflow as tf | |
| from tensorflow.keras.layers import Layer |
| """A real-time analog to midi converter. | |
| Listens to you system's microphone and does its best to convert the | |
| sounds it hears to a sequence of musical notes. It works ok... play | |
| with the sampling settings to get results that fit your needs. | |
| Usage Example: | |
| -------------- | |
| >>> from mic_listen import list_devices, MicListener | |
| >>> list_devices() # to list system devices |
Building Tensorflow from source on Ubuntu 16.04LTS for maximum performance:
TensorFlow is now distributed under an Apache v2 open source license on GitHub.
On Ubuntu 16.04LTS+:
Step 1. Install NVIDIA CUDA:
To use TensorFlow with NVIDIA GPUs, the first step is to install the CUDA Toolkit as shown: