Matthias Bisping 9f18ef9cd1 Pull request #13: Image representation info
Merge in RR/image-prediction from image_representation_metadata to master

Squashed commit of the following:

commit bfe92b24a2959a72c0e913ef051476c01c285ad0
Author: Matthias Bisping <matthias.bisping@iqser.com>
Date:   Thu May 12 11:24:12 2022 +0200

    updated comment

commit f5721560f3fda05a8ad45d0b5e406434204c1177
Author: Matthias Bisping <matthias.bisping@iqser.com>
Date:   Thu May 12 11:16:02 2022 +0200

    unskip server predict test

commit 41d94199ede7d58427b9e9541605a94f962c3dc4
Author: Matthias Bisping <matthias.bisping@iqser.com>
Date:   Thu May 12 11:15:48 2022 +0200

    added hash image encoder that produces representations by hashing

commit 84a8b0a290081616240c3876f8db8a1ae8592096
Merge: 1624ee4 6030f40
Author: Matthias Bisping <matthias.bisping@iqser.com>
Date:   Thu May 12 10:18:56 2022 +0200

    Merge branch 'master' of ssh://git.iqser.com:2222/rr/image-prediction

commit 1624ee40376b84a4519025343f913120c464407a
Author: Matthias Bisping <Matthias.Bisping@iqser.com>
Date:   Mon Apr 25 16:51:13 2022 +0200

    Pull request #11: fixed assignment

    Merge in RR/image-prediction from image_prediction_service_overhaul_xref_and_empty_result_fix_fix to master

    Squashed commit of the following:

    commit 7312e57d1127b081bfdc6e96311e8348d3f8110d
    Author: Matthias Bisping <matthias.bisping@iqser.com>
    Date:   Mon Apr 25 16:45:12 2022 +0200

        logging setup changed

    commit 955e353d74f414ee2d57b234bdf84d32817d14bf
    Author: Matthias Bisping <matthias.bisping@iqser.com>
    Date:   Mon Apr 25 16:37:52 2022 +0200

        fixed assignment
2022-05-12 11:49:19 +02:00

25 lines
784 B
Python

from typing import Iterable
from PIL import Image
from image_prediction.encoder.encoder import Encoder
class HashEncoder(Encoder):
def encode(self, images: Iterable[Image.Image]):
yield from map(hash_image, images)
def __call__(self, images: Iterable[Image.Image], batch_size=16):
yield from self.encode(images)
def hash_image(image: Image.Image):
"""See: https://stackoverflow.com/a/49692185/3578468"""
image = image.resize((10, 10), Image.ANTIALIAS)
image = image.convert("L")
pixel_data = list(image.getdata())
avg_pixel = sum(pixel_data) / len(pixel_data)
bits = "".join(["1" if (px >= avg_pixel) else "0" for px in pixel_data])
hex_representation = str(hex(int(bits, 2)))[2:][::-1].upper()
return hex_representation