bonlime

#!/bin/bash
#
# script to fully prepare ImageNet dataset

## 1. Download the data
# get ILSVRC2012_img_val.tar (about 6.3 GB). MD5: 29b22e2961454d5413ddabcf34fc5622
# wget https://image-net.org/data/ILSVRC/2012/ILSVRC2012_img_val.tar
# get ILSVRC2012_img_train.tar (about 138 GB). MD5: 1d675b47d978889d74fa0da5fadfb00e
# wget https://image-net.org/data/ILSVRC/2012/ILSVRC2012_img_train.tar

telegraphic

""" 
# app.py - example Dash + ZMQ + msgpack + numpy monitor 

This app receives data from zmq_pub.py, and plots it.

Run the app, browse to localhost:8085 in your web browser, and run zmq_pub.py in a different terminal.
"""
import dash
import dash_core_components as dcc
import dash_html_components as html