Prodigy Instructions

build_instructions.py

import base64
import pathlib
from jinja2 import Environment, FileSystemLoader, select_autoescape

env = Environment(
    loader=FileSystemLoader("images"),
    autoescape=select_autoescape()
)

template = env.get_template("instructions.template")

with open("images/img4.png", "rb") as image_file:
    enc_noa = base64.b64encode(image_file.read())

with open("images/img5.png", "rb") as image_file:
    enc_sok = base64.b64encode(image_file.read())

rendered = template.render(enc_noa=enc_noa.decode('utf-8'), enc_sok=enc_sok.decode('utf-8'))
pathlib.Path("instructions.html").write_text(rendered)

instructions.template

<h1>Detecting Cats</h1>

<p>In this dataset there are two cats that we'd like to detect.</p>

<br>

<h2>Noa</h2>

<p>Noa is the white cat. She has some distinctive shapes on her forehead. </p>

<img src="data:image/png;base64, {{ enc_noa }}"/>

<br>
<br>

<h2>Sok</h2>

<p>Sok is the black cat. She's usually a bit shy.</p>

<img src="data:image/png;base64, {{ enc_sok }}"/>

<br>
<br>

<h2>No cat?</h2>

<p>It's perfectly fine if there's no cat in the photo, but only Noa and Sok need to be annotated. You're supposed to ignore any other cats in the photo.</p>