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add init to ijepa project config file
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projects/ijepa/configs/__init__.py

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import os
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from typing import Literal
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from hydra_zen import builds
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from omegaconf import MISSING
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from timm.data.transforms import ResizeKeepRatio
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from torchvision import transforms
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from mmlearn.conf import external_store
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@external_store(group="datasets/transforms")
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def med_clip_vision_transform(
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image_crop_size: int = 224, job_type: Literal["train", "eval"] = "train"
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) -> transforms.Compose:
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"""Return transforms for training/evaluating CLIP with medical images.
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Parameters
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----------
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image_crop_size : int, default=224
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Size of the image crop.
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job_type : {"train", "eval"}, default="train"
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Type of the job (training or evaluation) for which the transforms are needed.
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Returns
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-------
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transforms.Compose
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Composed transforms for training CLIP with medical images.
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"""
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return transforms.Compose(
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[
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ResizeKeepRatio(
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512 if job_type == "train" else image_crop_size, interpolation="bicubic"
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),
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transforms.RandomCrop(image_crop_size)
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if job_type == "train"
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else transforms.CenterCrop(image_crop_size),
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transforms.ToTensor(),
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transforms.Normalize(
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mean=[0.48145466, 0.4578275, 0.40821073],
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std=[0.26862954, 0.26130258, 0.27577711],
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),
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]
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)

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