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<!DOCTYPE html> | |
<meta charset="utf-8"> | |
<html> | |
<head> | |
<script src="https://d3js.org/d3.v4.js"></script> | |
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.2.1/jquery.js"></script> | |
<style> | |
body { |
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""" | |
Visualize 3d voxels and 2d images. | |
Author: @JustinShenk | |
Note: Requires matplotlib 2.0.2 or later to use the `ax.voxels` method (https://matplotlib.org/devdocs/gallery/mplot3d/voxels.html). | |
""" | |
import sys | |
import matplotlib.pyplot as plt | |
import numpy as np | |
from numpy import * |
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Span Duration User # Revisions | |
Sat, 9/30/2017, 12:56:47 PM - 1:00:18 PM 00:03:31s Justin Shenk 372 | |
Sat, 9/30/2017, 1:16:02 PM - 1:29:42 PM 00:13:40s Justin Shenk 1136 | |
Sat, 9/30/2017, 1:45:20 PM - 2:19:19 PM 00:33:59s Justin Shenk 948 | |
Sat, 9/30/2017, 4:28:13 PM - 4:29:14 PM 00:01:00s 06287517911256457317 38 | |
Sat, 9/30/2017, 4:44:12 PM - 5:03:57 PM 00:19:44s Justin Shenk 750 | |
Sat, 9/30/2017, 8:34:08 PM - 8:40:02 PM 00:05:54s Justin Shenk 42 | |
Sat, 9/30/2017, 8:48:53 PM - 9:11:03 PM 00:22:10s 06287517911256457317 1204 | |
Sat, 9/30/2017, 9:11:04 PM - 9:11:04 PM 00:00:00s Justin Shenk 2 | |
Sat, 9/30/2017, 9:11:04 PM - 9:11:07 PM 00:00:03s 06287517911256457317 6 |
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import os | |
import torch | |
import torch.nn as nn | |
import torch.nn.functional as F | |
import torch.utils.model_zoo as model_zoo | |
from torchvision import models | |
__all__ = ['Inception3_Autoencoder', 'inception_v3_autoencoder'] |
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/** | |
* @author Justin Shenk <[email protected]> | |
* | |
* This script schedules the next available meeting in a given month by | |
* continuous reloading and automatically filling out a form. | |
* | |
* INSTRUCTIONS: | |
* - Replace the personal details below with your information. | |
* - Navigate to the scheduling site. | |
* - Select iFrame as context: In Firefox, open the Web Console (Tools > Web |
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import subprocess | |
videofile = 'crowd_trimmed.mp4' | |
cmds = [ | |
'--maxCorners=10', '--maxCorners=50', '--maxCorners=100', | |
'--qualityLevel=0.1', '--qualityLevel=0.8', '--minDistance=2', | |
'--minDistance=40', '--winSize=5', '--winSize=100', '--blockSize=2', | |
'--blockSize=20', '--criteria_params1=5', '--criteria_params1=20', | |
'--criteria_params2=0.01', '--criteria_params2=0.08', |
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#!/bin/bash | |
# Add to instance metadata with `gcloud compute instances add-metadata \ | |
# instance-name --metadata-from-file startup-script=idle-shutdown.sh` and reboot | |
# NOTE: requires `bc`, eg, sudo apt-get install bc | |
# Modified from https://stackoverflow.com/questions/30556920/how-can-i-automatically-kill-idle-gce-instances-based-on-cpu-usage | |
threshold=0.1 | |
count=0 | |
wait_minutes=60 | |
while true |
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#!/usr/local/env python | |
from __future__ import print_function | |
from sys import platform | |
from os import system | |
import WalabotAPI | |
try: # for Python 2 | |
import Tkinter as tk | |
except ImportError: # for Python 3 | |
import tkinter as tk |
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#! /usr/bin/env python3 | |
"""Run from root directory of repo https://github.com/lengstrom/fast-style-transfer to | |
create a .pb for use with OpenVINO. | |
""" | |
import sys | |
sys.path.insert(0, 'src') | |
import transform | |
import argparse | |
import tensorflow as tf | |
import os |
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#!/usr/bin/env python | |
""" | |
Copyright (c) 2018 Intel Corporation | |
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 |
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