-
Notifications
You must be signed in to change notification settings - Fork 81
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
* Adding models from timm lib * Remove an unnecessary lib
- Loading branch information
Showing
5 changed files
with
750 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,193 @@ | ||
| from brainscore_vision import model_registry | ||
| from brainscore_vision.model_helpers.brain_transformation import ModelCommitment | ||
| from .model import get_model, MODEL_CONFIGS | ||
|
|
||
| model_registry["convnext_base:clip_laiona_augreg_ft_in1k_384"] = lambda: ModelCommitment( | ||
| identifier="convnext_base:clip_laiona_augreg_ft_in1k_384", | ||
| activations_model=get_model("convnext_base:clip_laiona_augreg_ft_in1k_384"), | ||
| layers=MODEL_CONFIGS["convnext_base:clip_laiona_augreg_ft_in1k_384"]["model_commitment"]["layers"], | ||
| behavioral_readout_layer=MODEL_CONFIGS["convnext_base:clip_laiona_augreg_ft_in1k_384"]["model_commitment"]["behavioral_readout_layer"], | ||
| region_layer_map=MODEL_CONFIGS["convnext_base:clip_laiona_augreg_ft_in1k_384"]["model_commitment"]["region_layer_map"] | ||
| ) | ||
|
|
||
|
|
||
| model_registry["convnext_femto_ols:d1_in1k"] = lambda: ModelCommitment( | ||
| identifier="convnext_femto_ols:d1_in1k", | ||
| activations_model=get_model("convnext_femto_ols:d1_in1k"), | ||
| layers=MODEL_CONFIGS["convnext_femto_ols:d1_in1k"]["model_commitment"]["layers"], | ||
| behavioral_readout_layer=MODEL_CONFIGS["convnext_femto_ols:d1_in1k"]["model_commitment"]["behavioral_readout_layer"], | ||
| region_layer_map=MODEL_CONFIGS["convnext_femto_ols:d1_in1k"]["model_commitment"]["region_layer_map"] | ||
| ) | ||
|
|
||
|
|
||
| model_registry["convnext_large:fb_in22k_ft_in1k"] = lambda: ModelCommitment( | ||
| identifier="convnext_large:fb_in22k_ft_in1k", | ||
| activations_model=get_model("convnext_large:fb_in22k_ft_in1k"), | ||
| layers=MODEL_CONFIGS["convnext_large:fb_in22k_ft_in1k"]["model_commitment"]["layers"], | ||
| behavioral_readout_layer=MODEL_CONFIGS["convnext_large:fb_in22k_ft_in1k"]["model_commitment"]["behavioral_readout_layer"], | ||
| region_layer_map=MODEL_CONFIGS["convnext_large:fb_in22k_ft_in1k"]["model_commitment"]["region_layer_map"] | ||
| ) | ||
|
|
||
|
|
||
| model_registry["convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384"] = lambda: ModelCommitment( | ||
| identifier="convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384", | ||
| activations_model=get_model("convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384"), | ||
| layers=MODEL_CONFIGS["convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384"]["model_commitment"]["layers"], | ||
| behavioral_readout_layer=MODEL_CONFIGS["convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384"]["model_commitment"]["behavioral_readout_layer"], | ||
| region_layer_map=MODEL_CONFIGS["convnext_large_mlp:clip_laion2b_augreg_ft_in1k_384"]["model_commitment"]["region_layer_map"] | ||
| ) | ||
|
|
||
|
|
||
| model_registry["convnext_tiny:in12k_ft_in1k"] = lambda: ModelCommitment( | ||
| identifier="convnext_tiny:in12k_ft_in1k", | ||
| activations_model=get_model("convnext_tiny:in12k_ft_in1k"), | ||
| layers=MODEL_CONFIGS["convnext_tiny:in12k_ft_in1k"]["model_commitment"]["layers"], | ||
| behavioral_readout_layer=MODEL_CONFIGS["convnext_tiny:in12k_ft_in1k"]["model_commitment"]["behavioral_readout_layer"], | ||
| region_layer_map=MODEL_CONFIGS["convnext_tiny:in12k_ft_in1k"]["model_commitment"]["region_layer_map"] | ||
| ) | ||
|
|
||
|
|
||
| model_registry["convnext_xlarge:fb_in22k_ft_in1k"] = lambda: ModelCommitment( | ||
| identifier="convnext_xlarge:fb_in22k_ft_in1k", | ||
| activations_model=get_model("convnext_xlarge:fb_in22k_ft_in1k"), | ||
| layers=MODEL_CONFIGS["convnext_xlarge:fb_in22k_ft_in1k"]["model_commitment"]["layers"], | ||
| behavioral_readout_layer=MODEL_CONFIGS["convnext_xlarge:fb_in22k_ft_in1k"]["model_commitment"]["behavioral_readout_layer"], | ||
| region_layer_map=MODEL_CONFIGS["convnext_xlarge:fb_in22k_ft_in1k"]["model_commitment"]["region_layer_map"] | ||
| ) | ||
|
|
||
|
|
||
| model_registry["convnext_xxlarge:clip_laion2b_soup_ft_in1k"] = lambda: ModelCommitment( | ||
| identifier="convnext_xxlarge:clip_laion2b_soup_ft_in1k", | ||
| activations_model=get_model("convnext_xxlarge:clip_laion2b_soup_ft_in1k"), | ||
| layers=MODEL_CONFIGS["convnext_xxlarge:clip_laion2b_soup_ft_in1k"]["model_commitment"]["layers"], | ||
| behavioral_readout_layer=MODEL_CONFIGS["convnext_xxlarge:clip_laion2b_soup_ft_in1k"]["model_commitment"]["behavioral_readout_layer"], | ||
| region_layer_map=MODEL_CONFIGS["convnext_xxlarge:clip_laion2b_soup_ft_in1k"]["model_commitment"]["region_layer_map"] | ||
| ) | ||
|
|
||
|
|
||
| model_registry["swin_small_patch4_window7_224:ms_in22k_ft_in1k"] = lambda: ModelCommitment( | ||
| identifier="swin_small_patch4_window7_224:ms_in22k_ft_in1k", | ||
| activations_model=get_model("swin_small_patch4_window7_224:ms_in22k_ft_in1k"), | ||
| layers=MODEL_CONFIGS["swin_small_patch4_window7_224:ms_in22k_ft_in1k"]["model_commitment"]["layers"], | ||
| behavioral_readout_layer=MODEL_CONFIGS["swin_small_patch4_window7_224:ms_in22k_ft_in1k"]["model_commitment"]["behavioral_readout_layer"], | ||
| region_layer_map=MODEL_CONFIGS["swin_small_patch4_window7_224:ms_in22k_ft_in1k"]["model_commitment"]["region_layer_map"] | ||
| ) | ||
|
|
||
|
|
||
| model_registry["vit_base_patch16_clip_224:openai_ft_in12k_in1k"] = lambda: ModelCommitment( | ||
| identifier="vit_base_patch16_clip_224:openai_ft_in12k_in1k", | ||
| activations_model=get_model("vit_base_patch16_clip_224:openai_ft_in12k_in1k"), | ||
| layers=MODEL_CONFIGS["vit_base_patch16_clip_224:openai_ft_in12k_in1k"]["model_commitment"]["layers"], | ||
| behavioral_readout_layer=MODEL_CONFIGS["vit_base_patch16_clip_224:openai_ft_in12k_in1k"]["model_commitment"]["behavioral_readout_layer"], | ||
| region_layer_map=MODEL_CONFIGS["vit_base_patch16_clip_224:openai_ft_in12k_in1k"]["model_commitment"]["region_layer_map"] | ||
| ) | ||
|
|
||
|
|
||
| model_registry["vit_base_patch16_clip_224:openai_ft_in1k"] = lambda: ModelCommitment( | ||
| identifier="vit_base_patch16_clip_224:openai_ft_in1k", | ||
| activations_model=get_model("vit_base_patch16_clip_224:openai_ft_in1k"), | ||
| layers=MODEL_CONFIGS["vit_base_patch16_clip_224:openai_ft_in1k"]["model_commitment"]["layers"], | ||
| behavioral_readout_layer=MODEL_CONFIGS["vit_base_patch16_clip_224:openai_ft_in1k"]["model_commitment"]["behavioral_readout_layer"], | ||
| region_layer_map=MODEL_CONFIGS["vit_base_patch16_clip_224:openai_ft_in1k"]["model_commitment"]["region_layer_map"] | ||
| ) | ||
|
|
||
|
|
||
| model_registry["vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k"] = lambda: ModelCommitment( | ||
| identifier="vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k", | ||
| activations_model=get_model("vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k"), | ||
| layers=MODEL_CONFIGS["vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k"]["model_commitment"]["layers"], | ||
| behavioral_readout_layer=MODEL_CONFIGS["vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k"]["model_commitment"]["behavioral_readout_layer"], | ||
| region_layer_map=MODEL_CONFIGS["vit_huge_patch14_clip_224:laion2b_ft_in12k_in1k"]["model_commitment"]["region_layer_map"] | ||
| ) | ||
|
|
||
|
|
||
| model_registry["vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k"] = lambda: ModelCommitment( | ||
| identifier="vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k", | ||
| activations_model=get_model("vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k"), | ||
| layers=MODEL_CONFIGS["vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k"]["model_commitment"]["layers"], | ||
| behavioral_readout_layer=MODEL_CONFIGS["vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k"]["model_commitment"]["behavioral_readout_layer"], | ||
| region_layer_map=MODEL_CONFIGS["vit_huge_patch14_clip_336:laion2b_ft_in12k_in1k"]["model_commitment"]["region_layer_map"] | ||
| ) | ||
|
|
||
|
|
||
| model_registry["vit_large_patch14_clip_224:laion2b_ft_in12k_in1k"] = lambda: ModelCommitment( | ||
| identifier="vit_large_patch14_clip_224:laion2b_ft_in12k_in1k", | ||
| activations_model=get_model("vit_large_patch14_clip_224:laion2b_ft_in12k_in1k"), | ||
| layers=MODEL_CONFIGS["vit_large_patch14_clip_224:laion2b_ft_in12k_in1k"]["model_commitment"]["layers"], | ||
| behavioral_readout_layer=MODEL_CONFIGS["vit_large_patch14_clip_224:laion2b_ft_in12k_in1k"]["model_commitment"]["behavioral_readout_layer"], | ||
| region_layer_map=MODEL_CONFIGS["vit_large_patch14_clip_224:laion2b_ft_in12k_in1k"]["model_commitment"]["region_layer_map"] | ||
| ) | ||
|
|
||
|
|
||
| model_registry["vit_large_patch14_clip_224:laion2b_ft_in1k"] = lambda: ModelCommitment( | ||
| identifier="vit_large_patch14_clip_224:laion2b_ft_in1k", | ||
| activations_model=get_model("vit_large_patch14_clip_224:laion2b_ft_in1k"), | ||
| layers=MODEL_CONFIGS["vit_large_patch14_clip_224:laion2b_ft_in1k"]["model_commitment"]["layers"], | ||
| behavioral_readout_layer=MODEL_CONFIGS["vit_large_patch14_clip_224:laion2b_ft_in1k"]["model_commitment"]["behavioral_readout_layer"], | ||
| region_layer_map=MODEL_CONFIGS["vit_large_patch14_clip_224:laion2b_ft_in1k"]["model_commitment"]["region_layer_map"] | ||
| ) | ||
|
|
||
|
|
||
| model_registry["vit_large_patch14_clip_224:openai_ft_in12k_in1k"] = lambda: ModelCommitment( | ||
| identifier="vit_large_patch14_clip_224:openai_ft_in12k_in1k", | ||
| activations_model=get_model("vit_large_patch14_clip_224:openai_ft_in12k_in1k"), | ||
| layers=MODEL_CONFIGS["vit_large_patch14_clip_224:openai_ft_in12k_in1k"]["model_commitment"]["layers"], | ||
| behavioral_readout_layer=MODEL_CONFIGS["vit_large_patch14_clip_224:openai_ft_in12k_in1k"]["model_commitment"]["behavioral_readout_layer"], | ||
| region_layer_map=MODEL_CONFIGS["vit_large_patch14_clip_224:openai_ft_in12k_in1k"]["model_commitment"]["region_layer_map"] | ||
| ) | ||
|
|
||
|
|
||
| model_registry["vit_large_patch14_clip_224:openai_ft_in1k"] = lambda: ModelCommitment( | ||
| identifier="vit_large_patch14_clip_224:openai_ft_in1k", | ||
| activations_model=get_model("vit_large_patch14_clip_224:openai_ft_in1k"), | ||
| layers=MODEL_CONFIGS["vit_large_patch14_clip_224:openai_ft_in1k"]["model_commitment"]["layers"], | ||
| behavioral_readout_layer=MODEL_CONFIGS["vit_large_patch14_clip_224:openai_ft_in1k"]["model_commitment"]["behavioral_readout_layer"], | ||
| region_layer_map=MODEL_CONFIGS["vit_large_patch14_clip_224:openai_ft_in1k"]["model_commitment"]["region_layer_map"] | ||
| ) | ||
|
|
||
|
|
||
| model_registry["vit_large_patch14_clip_336:laion2b_ft_in1k"] = lambda: ModelCommitment( | ||
| identifier="vit_large_patch14_clip_336:laion2b_ft_in1k", | ||
| activations_model=get_model("vit_large_patch14_clip_336:laion2b_ft_in1k"), | ||
| layers=MODEL_CONFIGS["vit_large_patch14_clip_336:laion2b_ft_in1k"]["model_commitment"]["layers"], | ||
| behavioral_readout_layer=MODEL_CONFIGS["vit_large_patch14_clip_336:laion2b_ft_in1k"]["model_commitment"]["behavioral_readout_layer"], | ||
| region_layer_map=MODEL_CONFIGS["vit_large_patch14_clip_336:laion2b_ft_in1k"]["model_commitment"]["region_layer_map"] | ||
| ) | ||
|
|
||
|
|
||
| model_registry["vit_large_patch14_clip_336:openai_ft_in12k_in1k"] = lambda: ModelCommitment( | ||
| identifier="vit_large_patch14_clip_336:openai_ft_in12k_in1k", | ||
| activations_model=get_model("vit_large_patch14_clip_336:openai_ft_in12k_in1k"), | ||
| layers=MODEL_CONFIGS["vit_large_patch14_clip_336:openai_ft_in12k_in1k"]["model_commitment"]["layers"], | ||
| behavioral_readout_layer=MODEL_CONFIGS["vit_large_patch14_clip_336:openai_ft_in12k_in1k"]["model_commitment"]["behavioral_readout_layer"], | ||
| region_layer_map=MODEL_CONFIGS["vit_large_patch14_clip_336:openai_ft_in12k_in1k"]["model_commitment"]["region_layer_map"] | ||
| ) | ||
|
|
||
|
|
||
| model_registry["vit_relpos_base_patch16_clsgap_224:sw_in1k"] = lambda: ModelCommitment( | ||
| identifier="vit_relpos_base_patch16_clsgap_224:sw_in1k", | ||
| activations_model=get_model("vit_relpos_base_patch16_clsgap_224:sw_in1k"), | ||
| layers=MODEL_CONFIGS["vit_relpos_base_patch16_clsgap_224:sw_in1k"]["model_commitment"]["layers"], | ||
| behavioral_readout_layer=MODEL_CONFIGS["vit_relpos_base_patch16_clsgap_224:sw_in1k"]["model_commitment"]["behavioral_readout_layer"], | ||
| region_layer_map=MODEL_CONFIGS["vit_relpos_base_patch16_clsgap_224:sw_in1k"]["model_commitment"]["region_layer_map"] | ||
| ) | ||
|
|
||
|
|
||
| model_registry["vit_relpos_base_patch32_plus_rpn_256:sw_in1k"] = lambda: ModelCommitment( | ||
| identifier="vit_relpos_base_patch32_plus_rpn_256:sw_in1k", | ||
| activations_model=get_model("vit_relpos_base_patch32_plus_rpn_256:sw_in1k"), | ||
| layers=MODEL_CONFIGS["vit_relpos_base_patch32_plus_rpn_256:sw_in1k"]["model_commitment"]["layers"], | ||
| behavioral_readout_layer=MODEL_CONFIGS["vit_relpos_base_patch32_plus_rpn_256:sw_in1k"]["model_commitment"]["behavioral_readout_layer"], | ||
| region_layer_map=MODEL_CONFIGS["vit_relpos_base_patch32_plus_rpn_256:sw_in1k"]["model_commitment"]["region_layer_map"] | ||
| ) | ||
|
|
||
|
|
||
| model_registry["vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k"] = lambda: ModelCommitment( | ||
| identifier="vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k", | ||
| activations_model=get_model("vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k"), | ||
| layers=MODEL_CONFIGS["vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k"]["model_commitment"]["layers"], | ||
| behavioral_readout_layer=MODEL_CONFIGS["vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k"]["model_commitment"]["behavioral_readout_layer"], | ||
| region_layer_map=MODEL_CONFIGS["vit_tiny_r_s16_p8_384:augreg_in21k_ft_in1k"]["model_commitment"]["region_layer_map"] | ||
| ) | ||
|
|
||
|
|
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,90 @@ | ||
| import os | ||
| import functools | ||
| import json | ||
| from pathlib import Path | ||
| import ssl | ||
|
|
||
| import timm | ||
| import numpy as np | ||
| import torchvision.transforms as T | ||
| from PIL import Image | ||
|
|
||
| from brainscore_vision.model_helpers.activations.pytorch import PytorchWrapper | ||
|
|
||
| # Disable SSL verification | ||
| ssl._create_default_https_context = ssl._create_unverified_context | ||
|
|
||
| BIBTEX = """""" | ||
|
|
||
|
|
||
| with open(Path(__file__).parent / "model_configs.json", "r") as f: | ||
| MODEL_CONFIGS = json.load(f) | ||
|
|
||
|
|
||
| def load_image(image_filepath): | ||
| return Image.open(image_filepath).convert("RGB") | ||
|
|
||
|
|
||
| def get_interpolation_mode(interpolation: str) -> int: | ||
| """Returns the interpolation mode for albumentations""" | ||
| if "linear" or "bilinear" in interpolation: | ||
| return 1 | ||
| elif "cubic" or "bicubic" in interpolation: | ||
| return 2 | ||
| else: | ||
| raise NotImplementedError(f"Interpolation mode {interpolation} not implemented") | ||
|
|
||
|
|
||
| def custom_image_preprocess( | ||
| images, | ||
| transforms=T.Compose, | ||
| ): | ||
| if isinstance(transforms, T.Compose): | ||
| images = [transforms(image) for image in images] | ||
| images = [np.array(image) for image in images] | ||
| images = np.stack(images) | ||
| else: | ||
| raise NotImplementedError( | ||
| f"Transform of type {type(transforms)} is not implemented" | ||
| ) | ||
|
|
||
| return images | ||
|
|
||
|
|
||
| def load_preprocess_images_custom( | ||
| image_filepaths, preprocess_images=custom_image_preprocess, **kwargs | ||
| ): | ||
| images = [load_image(image_filepath) for image_filepath in image_filepaths] | ||
| images = preprocess_images(images, **kwargs) | ||
| return images | ||
|
|
||
|
|
||
| def get_model(model_id:str): | ||
| # Unpack model config | ||
| config = MODEL_CONFIGS[model_id] | ||
| model_name = config["model_name"] | ||
| model_id = config["model_id"] | ||
| timm_model_name = config["timm_model_name"] | ||
| is_vit = config["is_vit"] | ||
|
|
||
| # Temporary fix for vit models | ||
| # See https://github.com/brain-score/vision/pull/1232 | ||
| if is_vit: | ||
| os.environ['RESULTCACHING_DISABLE'] = 'brainscore_vision.model_helpers.activations.core.ActivationsExtractorHelper._from_paths_stored' | ||
|
|
||
|
|
||
| # Initialize model | ||
| model = timm.create_model(timm_model_name, pretrained=True) | ||
| data_config = timm.data.resolve_model_data_config(model) | ||
| transforms = timm.data.create_transform(**data_config, is_training=False) | ||
| print(f"Model {model_name} loaded") | ||
|
|
||
| # Wrap model | ||
| preprocessing = functools.partial( | ||
| load_preprocess_images_custom, | ||
| transforms=transforms | ||
| ) | ||
| wrapper = PytorchWrapper( | ||
| identifier=model_id, model=model, preprocessing=preprocessing | ||
| ) | ||
| return wrapper |
Oops, something went wrong.