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fix: remove TensorFlow dependency from image processing #577

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fix: remove TensorFlow dependency from image processing #577

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18 changes: 12 additions & 6 deletions gemma/multimodal/image.py
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Original file line number Diff line number Diff line change
Expand Up @@ -16,14 +16,14 @@

from __future__ import annotations
from collections.abc import Sequence
import io
import einops
from etils import epath
import jax
from jax import numpy as jnp
from kauldron import typing
import numpy as np
from PIL import Image
import tensorflow as tf

_IMAGE_MEAN = (127.5,) * 3
_IMAGE_STD = (127.5,) * 3
Expand Down Expand Up @@ -69,11 +69,17 @@ def pre_process_image(
Returns:
The pre-processed image.
"""
# all inputs are expected to have been jpeg compressed.
# TODO(eyvinec): we should remove tf dependency.
image = jnp.asarray(
tf.image.decode_jpeg(tf.io.encode_jpeg(image), channels=3)
)
# Normalize image to uint8 range for JPEG encoding
image_uint8 = jnp.clip(image, 0, 255).astype(jnp.uint8)

# Encode and decode with JPEG via PIL for standardization
pil_image = Image.fromarray(np.array(image_uint8), mode='RGB')
jpeg_buffer = io.BytesIO()
pil_image.save(jpeg_buffer, format='JPEG')
jpeg_buffer.seek(0)
image = np.array(Image.open(jpeg_buffer).convert('RGB'))
image = jnp.asarray(image, dtype=jnp.float32)

image = jax.image.resize(
image,
shape=(image_height, image_width, 3),
Expand Down