rreece

import yaml

def read_yaml(path):
    with open(path, 'r') as f:
        config = yaml.safe_load(f)
    return config

rreece

MacOs quick setup 🚀

Getting everything ready

1 - Xcode/Ruby/Command line tools

You need to have Xcode installed to proceed.

xcode-select --install
sudo xcodebuild -license accept

2 - Brew

rreece

Lifetime of python supported versions

• Scientific Python: SPEC 0
• Numpy: NEP 29

rreece

COO 2017 dataset

Ryan downloaded the COCO data from here: https://cocodataset.org/#download

wget http://images.cocodataset.org/zips/val2017.zip
wget http://images.cocodataset.org/zips/test2017.zip
wget http://images.cocodataset.org/annotations/annotations_trainval2017.zip

rreece

ImageNet-1k dataset

Download instructions: https://towardsdatascience.com/downloading-and-using-the-imagenet-dataset-with-pytorch-f0908437c4be

• Create a kaggle account
• Login and create an authentication token
• Add the token to a file: ~/.kaggle/kaggle.json

The file has one line like this:

rreece

import subprocess

def run_shell(cmd):
    out = subprocess.check_output(cmd, stderr=subprocess.STDOUT, shell=True, encoding="UTF-8")
    return out

rreece

import os
path_of_this_file = os.path.abspath(__file__)
dir_of_this_file = os.path.dirname(os.path.abspath(__file__))

rreece

"""
Writes float16 data to a tfrecord as raw bytes and reads it back.

Based on:
https://stackoverflow.com/questions/40184812/tensorflow-is-it-possible-to-store-tf-record-sequence-examples-as-float16
"""

import argparse
import numpy as np
import tensorflow as tf

rreece

def path_is_in_git(repo, path):
    """ 
    Check if path is tracked by git.
    """
    returncode = None
    try:
        cmd = 'git ls-files --error-unmatch %s' % (path)
        _ = subprocess.check_output(cmd,
                cwd=repo,
                shell=True,

rreece

# install chrome with .deb
# setup terminal profile

sudo apt update
sudo apt dist-upgrade
sudo apt install vim htop screen tmux
sudo apt install git

# create ssh key:
ssh-keygen -t rsa