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[DataProcessor] Refactor multimodal processor: extract encoding strategies and unify MM processing pipeline (#7298)

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* merge mm processor
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luukunn
2026-04-15 19:01:06 +08:00
committed by GitHub
parent a218d29488
commit 3f84d8d893
36 changed files with 4016 additions and 681 deletions
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fastdeploy/input/image_processors/adaptive_processor.py
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@@ -46,6 +46,8 @@ from PIL import Image
from fastdeploy.input.image_processors.common import is_scaled_image
from fastdeploy.input.image_processors.common import smart_resize_qwen as smart_resize
from fastdeploy.input.image_processors.registry import ImageProcessorRegistry
from fastdeploy.input.mm_model_config import ERNIE4_5_VL
from fastdeploy.utils import data_processor_logger
OPENAI_CLIP_MEAN = [0.48145466, 0.4578275, 0.40821073]
@@ -116,6 +118,7 @@ def make_batched_videos(videos) -> List[VideoInput]:
raise ValueError(f"Could not make batched video from {videos}")
@ImageProcessorRegistry.register(ERNIE4_5_VL)
class AdaptiveImageProcessor(BaseImageProcessor):
r"""
Constructs a adaptive image processor that dynamically resizes images based on the original images.