Created
June 13, 2022 16:57
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Prodigy Instructions
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| 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) |
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| <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> |
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