| import argparse | |
| import numpy as np | |
| import tensorflow as tf | |
| from tensorflow.core.protobuf import rewriter_config_pb2 | |
| from model import model_fn | |
| from data import input_fn | |
| from utils import ( | |
| DEFAULT_PARAMS_FILE, | |
| get_params, |
| # 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 |
| 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, |
| """ | |
| 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 |
| import os | |
| path_of_this_file = os.path.abspath(__file__) | |
| dir_of_this_file = os.path.dirname(os.path.abspath(__file__)) |
| import subprocess | |
| def run_shell(cmd): | |
| out = subprocess.check_output(cmd, stderr=subprocess.STDOUT, shell=True, encoding="UTF-8") | |
| return out |
Download instructions: https://towardsdatascience.com/downloading-and-using-the-imagenet-dataset-with-pytorch-f0908437c4be
The file has one line like this:
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
You need to have Xcode installed to proceed.
xcode-select --install
sudo xcodebuild -license accept