installation stub

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cv server 2020-01-02 17:30:22 -07:00
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@ -41,6 +41,57 @@ The following scripts are in the repo:
* `wut-review-staging` --- Review all images in `data/staging`.
# Installation
Most of the scripts are simple shell scripts with few dependencies.
## Setup
The scripts use files that are ignored in the git repo.
So you need to create those directories:
```
mkdir -p download
mkdir -p data/train/good
mkdir -p data/train/bad
mkdir -p data/train/failed
mkdir -p data/validation/good
mkdir -p data/validataion/bad
mkdir -p data/validataion/failed
mkdir -p data/staging
mkdir -p data/test/unvetted
```
## Debian Packages
You'll need `curl` and `jq`, both in Debian's repos.
```
apt update
apt install curl jq
```
## Machine Learning
For the machine learning scripts, like `wut-ml`, both Tensorflow
and Keras need to be installed. The versions of those in Debian
didn't work for me. IIRC, for Tensorflow I built a `pip` of
version 2.0.0 from git and installed that. I installed Keras
from `pip`. Something like:
```
# XXX These aren't the exact commands, need to check...
# Install bazel or whatever their build system is
# Install Tensorflow
git clone tensorflow...
cd tensorflow
./configure
# run some bazel command
dpkg -i /tmp/pkg_foo/*.deb
apt update
apt -f install
# Install Keras
pip3 install --user keras
# A million other commands....
```
# Usage
The main purpose of the script is to evaluate an observation,
but to do that, it needs to build a corpus of observations to