Wei Yang bearpaw

## train.log
acc       	epoch     	loss      	LR
0.1052	1	0.019193	0.00025
0.3969	2	0.003348	0.00025
0.5235	3	0.002922	0.00025
0.5888	4	0.002697	0.00025
0.6230	5	0.002564	0.00025
0.6526	6	0.002433	0.00025
0.6769	7	0.002321	0.00025
0.6956	8	0.002223	0.00025
0.7057	9	0.002167	0.00025

## notebook.sh
#!/usr/bin/env bash

cd ~
wget https://repo.continuum.io/archive/Anaconda2-4.3.0-Linux-x86_64.sh
bash Anaconda2-4.3.0-Linux-x86_64.sh -b
echo 'PATH="/home/ubuntu/anaconda2/bin:$PATH"' >> .bashrc
. .bashrc

jupyter notebook --generate-config

## data_preprocessing.ipynb

      
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                Import numpy and matplotlib library
              
          
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## main.md

      
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                Configuration of AWS for ELEG 5491
              
          
    Configuration of AWS for ELEG 5491

AWS settings (with iPython Notebook)


Most of the steps can be found in this note: Create an iPython HTML Notebook on Amazon's AWS Free Tier from scratch.
If you are more comfortable with video tutorial, don't miss this YouTube tutorial: iPython notebook on AWS
Easier way: After setting your AWS, you can easily install python and notebook by running this script

FTP setting

If you want to use an FTP client to transfer data between local machine and AWS server, you may be instrested in this tutorial.

  
## starcounter.js
var https = require('https'),
    user = process.argv[2],
    opts = parseOpts(process.argv.slice(3))

request('/users/' + user, function (res) {
    if (!res.public_repos) {
        console.log(res.message)
        return
    }
    var pages = Math.ceil(res.public_repos / 100),

## draw_tensorflow_log.py
import numpy as np
from tensorboard.backend.event_processing import event_accumulator as ea

import matplotlib as mpl
import matplotlib.pyplot as plt

def plot_tensorflow_log(path):

    # Loading too much data is slow...
    tf_size_guidance = {

## delete_git_submodule.md

      
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                bearpaw
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              February 5, 2019 00:22
                — forked from myusuf3/delete_git_submodule.md
            
              
                How effectively delete a git submodule.
              
          
    To remove a submodule you need to:

Delete the relevant section from the .gitmodules file.
Stage the .gitmodules changes
git add .gitmodules


Delete the relevant section from .git/config.
Run


## mmdetection_env.sh
conda create -n open-mmlab python=3.7 -y
source activate open-mmlab

conda install -c pytorch pytorch torchvision -y
conda install cython -y
git clone https://github.com/open-mmlab/mmdetection.git
cd mmdetection
./compile.sh
pip install -e .  # "pip install ." for installation mode
	acc epoch loss LR
	0.1052 1 0.019193 0.00025
	0.3969 2 0.003348 0.00025
	0.5235 3 0.002922 0.00025
	0.5888 4 0.002697 0.00025
	0.6230 5 0.002564 0.00025
	0.6526 6 0.002433 0.00025
	0.6769 7 0.002321 0.00025
	0.6956 8 0.002223 0.00025
	0.7057 9 0.002167 0.00025
	#!/usr/bin/env bash

	cd ~
	wget https://repo.continuum.io/archive/Anaconda2-4.3.0-Linux-x86_64.sh
	bash Anaconda2-4.3.0-Linux-x86_64.sh -b
	echo 'PATH="/home/ubuntu/anaconda2/bin:$PATH"' >> .bashrc
	. .bashrc

	jupyter notebook --generate-config
	var https = require('https'),
	user = process.argv[2],
	opts = parseOpts(process.argv.slice(3))

	request('/users/' + user, function (res) {
	if (!res.public_repos) {
	console.log(res.message)
	return
	}
	var pages = Math.ceil(res.public_repos / 100),
	import numpy as np
	from tensorboard.backend.event_processing import event_accumulator as ea

	import matplotlib as mpl
	import matplotlib.pyplot as plt

	def plot_tensorflow_log(path):

	# Loading too much data is slow...
	tf_size_guidance = {
	conda create -n open-mmlab python=3.7 -y
	source activate open-mmlab

	conda install -c pytorch pytorch torchvision -y
	conda install cython -y
	git clone https://github.com/open-mmlab/mmdetection.git
	cd mmdetection
	./compile.sh
	pip install -e . # "pip install ." for installation mode