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225c679454bc487795eca88172dcc6d10601285fb3338628ddf8b6603d9e90da
Python
197
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('evresnet_50_7') assert model.identifier == 'evresnet_50_7'
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Python
197
7
from .model import get_layers def test_layers(): layers = get_layers("deepeisnn_imagenet_resnet18_full") assert len(layers) > 0 assert all(isinstance(layer, str) for layer in layers)
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Python
197
5
# Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree.
43e05841d3c9f0b0d03176d80318fc17e4b8fd2b4582f123bebd1c075812a10b
Python
197
10
from . import _core as backend from .associator import ( OctoAssociator, StationSpecificVelocityModel1D, VelocityModel0D, VelocityModel1D, ) # Version number __version__ = "0.2.0"
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Python
197
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('evresnet_50_5') assert model.identifier == 'evresnet_50_5'
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Python
197
9
# This file is part of connectome-manipulator. # # SPDX-License-Identifier: Apache-2.0 # Copyright (c) 2024 Blue Brain Project/EPFL """Package version.""" VERSION = "1.0.2" __version__ = VERSION
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Python
197
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('evresnet_50_6') assert model.identifier == 'evresnet_50_6'
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Python
197
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('evresnet_50_4') assert model.identifier == 'evresnet_50_4'
a2b9fa4b1477f0d26f0aa0c30289356634e80106a56dc816bb2fa382de8a7f38
Python
197
14
#!/usr/bin/env python # -*- coding: utf-8 -*- """ @Author: Yong Bai, yong.bai@hotmail.com @License: (C) Copyright 2013-2022. @File: __init__.py.py @Desc: """ from ._metrics import compute_lisi
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Python
197
7
from analognas.search_spaces.sample import random_sample from analognas.search_spaces.resnet_macro_architecture import Network arch = random_sample('VWW', 1) model = Network(arch) print(model)
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Python
197
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('evresnet_50_1') assert model.identifier == 'evresnet_50_1'
bba55eb43f52595cff42f59c388c2a1012bf55e4c62de9373addd4c9f0dedd00
Python
198
5
from brainscore_vision import model_registry from .model import get_model # Register the Barlow Twins model with custom weights model_registry['artResNet18_1'] = lambda: get_model('artResNet18_1')
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Python
198
9
""" Utility functions for the EIANN project. """ from .activations import * from .data_utils import * from .weight_inits import * from .network_utils import * from .representation_analysis import *
dbf33b6dbe80902bd0d2ec4731c868ff7269dae2dadcce513147547cea315483
Python
198
5
from brainscore_vision import metric_registry from .metric import Threshold, ThresholdElevation metric_registry['threshold'] = Threshold metric_registry['threshold_elevation'] = ThresholdElevation
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Python
199
9
import traceback def display_traceback(): """Display the traceback""" print("\n" + "=" * 34 + " Traceback " + "=" * 35 + "\n") print(traceback.format_exc()) print("=" * 80 + "\n")
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Python
199
10
#encoding=utf-8 from __future__ import print_function import sys sys.path.append("../") import jieba import jieba.posseg as pseg words=pseg.cut("又跛又啞") for w in words: print(w.word,w.flag)
7d3505abc39854aaf58f0cae953ac6d1b9bbe0fe24c50a882c0bb26d71b91041
Python
200
6
"""Evaluation modules for artifact detection models.""" from .cnn_vs_rules import evaluate_model from .rule_based_eval import evaluate_rule_based __all__ = ['evaluate_model', 'evaluate_rule_based']
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Python
200
7
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('briaai_rmbg_1_4') assert model.identifier == 'briaai_rmbg_1_4'
08f777c540ed5a5cbf9f3f9510b507de3ed7ecf1553a56dfce4ec0a3834bb0cd
Python
201
8
import brainscore_vision import pytest @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('antialiased-r50') assert model.identifier == 'antialiased-r50'
1d195a9507313a48351958329716a5bf3cc84ba6b418507d4cea5b71abadf777
Python
201
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('mobilevit_small') assert model.identifier == 'mobilevit_small'
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Python
201
4
from .dataset import SpatialOmicsImageDataset from .net import SparseNet,SparseNet_Grand from .HRCHYCytoCommunity import HRCHYCytoCommunity,HRCHYCytoCommunityGrand from .auto_k import HRCHYClusterAutoK
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Python
201
7
# coding: utf-8 from pathlib import Path import numpy as np preds = [np.loadtxt(str(name)) for name in Path(__file__).absolute().parent.glob("*.pred")] np.testing.assert_allclose(preds[0], preds[1])
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Python
201
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('efficientnet_b0') assert model.identifier == 'efficientnet_b0'
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Python
201
8
import brainscore_vision import pytest @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('imagenet_l2_3_0') assert model.identifier == 'imagenet_l2_3_0'
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Python
201
6
"""Utility modules for EDF file inspection.""" from .check_channels import check_edf_channels from .check_edf import inspect_edf_properties __all__ = ['check_edf_channels', 'inspect_edf_properties']
48a4629af8f2b5af9e1dbf17a492cc4521587f10adbbb0b29a62acbbaeff1f9c
Python
202
7
from . import preprocessing as pp from . import plotting as pl from . import tools as tl __version__ = "0.0.1" import sys sys.modules.update({f'{__name__}.{m}': globals()[m] for m in ['pp','tl','pl']})
8dc9a64b3d472f3bc84d3757e1a0cdcbd6728c375da8db9aafaa9d600dfdb91d
Python
202
8
import bx.misc.bgzf def test_bgzf(): f = bx.misc.bgzf.BGZFFile("test_data/bgzf_tests/test.txt.gz", "r") assert f.read(10) == b"begin 644 " f.seek(0) assert f.read(10) == b"begin 644 "
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Python
202
9
import brainscore_vision import pytest @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('efficientnet-b7') assert model.identifier == 'efficientnet-b7'
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Python
203
10
# -*- coding: utf-8 -*- """ @author:XuMing(xuming624@qq.com) @description: """ from nerpy.version import __version__ from nerpy.get_file import http_get, get_file from nerpy.ner_model import NERModel
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Python
204
8
import brainscore_vision import pytest @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('Res2Net50_26w_4s') assert model.identifier == 'Res2Net50_26w_4s'
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Python
204
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('compact_vgg19_V4') assert model.identifier == 'compact_vgg19_V4'
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Python
204
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('dinov2_vitg14_lc') assert model.identifier == 'dinov2_vitg14_lc'
cd9dbef1e0c760ab8cd6ff2a9cd325d3bf4c36324490ceb1d9c65b3539ba022f
Python
204
5
from brainscore_vision import model_registry from .model import get_model # Register the Barlow Twins model with custom weights model_registry['cifar_resnet18_1'] = lambda: get_model('cifar_resnet18_1')
d0d4baec3aa3668b60511f4d3ea88362e581ebedbd888f375afb511a1a8438ce
Python
204
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('compact_vgg19_IT') assert model.identifier == 'compact_vgg19_IT'
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Python
204
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('dinov2_vitl14_lc') assert model.identifier == 'dinov2_vitl14_lc'
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Python
204
8
from .stats import * from .utils import * from .tsp_rf import * from .scn_train import * from .scn_assess import * from .plots import * from .postclass_analysis import * from .rank_class import *
0d133a594f759fa5870174ffa6bb2113487e5918a403252d4a63c32704382de1
Python
205
4
__all__ = ['pixel_size', 'train_set_avg_cell_diameter'] model_address = '' pixel_size = 0.108 # in microns/px train_set_avg_cell_diameter = 45.32 # in pixels! calculated from the 6 training colony by LPBS
881ba0aa631d370f5509f0e4fae3cb7a11e32cb21a0fe0171317f9565925c40b
Python
205
8
import brainscore_vision import pytest @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('convnext_tiny_sup') assert model.identifier == 'convnext_tiny_sup'
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Python
205
6
import brainscore_vision def test_has_identifier(): model = brainscore_vision.load_model('20260408_2033_stl10_combined_alpha04') assert model.identifier == '20260408_2033_stl10_combined_alpha04'
df928f955e69fe19dfd2fc7a5d52f7adf5c9fa40badde939d83ad9f5bef80c57
Python
205
9
import pandas as pd def get_downstream(pre, dataframe): try: df = dataframe[dataframe['bodyId_pre'].isin(pre)] except: df = dataframe[dataframe['bodyId_pre'] == pre] return df
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Python
205
9
from mmsplice import MTSplice def test_mtsplice(): seq = 'ATGCGACGTACCCAGTAAAT' overhang = (4, 4) model = MTSplice() pred = model.predict(seq, overhang)[0] assert pred.shape == (56,)
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Python
206
10
#!/usr/bin/env python # -*- coding: utf-8 -*- """ @Author: Yong Bai, yong.bai@hotmail.com @License: (C) Copyright 2013-2022. @Desc: """ from ._boundary import find_boundary, smooth_boundary, complex_split
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Python
206
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('eva02_large_in22k') assert model.identifier == 'eva02_large_in22k'
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Python
207
9
# Copyright (C) 2022 Intel Corporation # # SPDX-License-Identifier: MIT from rest_framework.renderers import JSONRenderer class CVATAPIRenderer(JSONRenderer): media_type = "application/vnd.cvat+json"
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Python
207
14
import click @click.command() def run_ui(): import napari viewer = napari.Viewer() viewer.window.add_plugin_dock_widget("brainways") napari.run() if __name__ == "__main__": run_ui()
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Python
207
7
# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license from .model import NAS from .predict import NASPredictor from .val import NASValidator __all__ = "NAS", "NASPredictor", "NASValidator"
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Python
207
2
from mmsdk.mmdatasdk.dataset.standard_datasets.CMU_MOSEI import cmu_mosei_std_folds as standard_folds from mmsdk.mmdatasdk.dataset.standard_datasets.CMU_MOSEI.cmu_mosei import raw, highlevel, labels, extra
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Python
207
4
from kinescope.pose.io import read_coco_csv, add_neck from kinescope.pose.converter import convert_to_coco, SUPPORTED_FORMATS __all__ = ["read_coco_csv", "add_neck", "convert_to_coco", "SUPPORTED_FORMATS"]
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Python
207
8
import brainscore_vision import pytest @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('AT_efficientnet-b2') assert model.identifier == 'AT_efficientnet-b2'
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Python
208
10
from __future__ import absolute_import from . import datasets from . import evaluation_metrics from . import models from . import utils from . import evaluators from . import trainers __version__ = '0.1.0'
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Python
208
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('compact_cornets_IT') assert model.identifier == 'compact_cornets_IT'
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Python
208
8
# -*- coding: utf-8 -*- """Decoding tools for functional magnetic resonance imaging data.""" # meta infos __author__ = "Daniel Haenelt" __license__ = "GPLv3" __version__ = "0.2.0" __status__ = "Development"
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Python
208
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('compact_cornets_V4') assert model.identifier == 'compact_cornets_V4'
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Python
208
3
# the following import is needed to configure pytest for `generic_plugin_tests` # noinspection PyUnresolvedReferences from brainscore_core.plugin_management.generic_plugin_tests_helper import pytest_addoption
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Python
208
10
import pytest import brainscore_vision @pytest.mark.travis_slow def test_cifar_resnet18_1(): model = brainscore_vision.load_model('cifar_resnet18_1') assert model.identifier == 'cifar_resnet18_1'
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Python
208
9
import json train_user=open(r'Twibot-22/train.json','r') users=json.load(train_user) all=len(users) count=0 for user in users: if user['profile']['screen_name']=='': count=count+1 print(count/all)
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Python
208
10
"""Models for DHG-LGB framework.""" from .hgnn import HGNNModel from .classifier import LightGBMClassifier, prepare_features __all__ = [ 'HGNNModel', 'LightGBMClassifier', 'prepare_features', ]
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Python
208
10
""" This submodule contains PyTorch operations. """ from .commons import * from .loss import * from .draw import * from .boxes import * from .normalization import * from .features import * from .cpn import *
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Python
208
8
# -*- coding: utf-8 -*- """Python package for the analysis of high-resolution fMRI data.""" # meta infos __author__ = "Daniel Haenelt" __license__ = "GPL v3" __version__ = "1.0.3" __status__ = "Development"
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Python
208
7
from .external import register_external, is_registered_external from .network import * from .plot import * from . import utils as utils __version__ = '0.0.0' __author__ = 'Alessandro Galloni, Aaron Milstein'
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Python
208
9
# tifffile/__init__.py from .tifffile import * from .tifffile import __all__, __doc__, __version__, main # constants are repeated for documentation __version__ = __version__ """Tifffile version string."""
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Python
209
7
""" Volatile code. Expect stuff in this to change. """ from .describe import describe from .count_missing import count_missing from .compare import compare __all__ = ["describe", "count_missing", "compare"]
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Python
209
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('antialias-resnet152') assert model.identifier == 'antialias-resnet152'
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Python
209
9
# Copyright (C) CVAT.ai Corporation # # SPDX-License-Identifier: MIT from rest_framework.throttling import UserRateThrottle class ResendOrganizationInvitationThrottle(UserRateThrottle): rate = "5/hour"
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Python
209
8
# import self-written scripts to get random positions and manage exp import exp_utils LOCATION = '7tscanner' if __name__ == '__main__': exp_utils.run_exp(LOCATION, exp_name='harveyvisual', train=False)
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Python
209
8
# import self-written scripts to get random positions and manage exp import exp_utils LOCATION = '7tscanner' if __name__ == '__main__': exp_utils.run_exp(LOCATION, exp_name='harveyspoken', train=False)
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Python
209
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('ViT_L_32_imagenet1k') assert model.identifier == 'ViT_L_32_imagenet1k'
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Python
209
8
# import self-written scripts to get random positions and manage exp import exp_utils LOCATION = '7tscanner' if __name__ == '__main__': exp_utils.run_exp(LOCATION, exp_name='harveydigits', train=False)
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Python
209
7
# Copyright (C) 2018-2022 Intel Corporation # Copyright (C) CVAT.ai Corporation # # SPDX-License-Identifier: MIT # Force execution of declared symbols from .schema import * # pylint: disable=wildcard-import
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Python
209
6
from brainscore_vision import load_model def test_model_loads(): model = load_model('gabor_filter_entropy_4x4_v2_forcedCosine') assert model.identifier == 'gabor_filter_entropy_4x4_v2_forcedCosine'
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Python
210
6
"""Method for causal disentanglement of inter-cellular and intra-cellular gene regulation in spatial transcriptomics""" __version__ = "0.0.1" from . import datareaders from . import models from . import utils
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Python
210
8
from tests.utils import pytest_importorskip def test_qtuitools(): """Test the qtpy.QtUiTools namespace""" QtUiTools = pytest_importorskip("qtpy.QtUiTools") assert QtUiTools.QUiLoader is not None
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Python
210
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('compact_resnet50_IT') assert model.identifier == 'compact_resnet50_IT'
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Python
210
5
from brainscore_vision import model_registry from .model import get_model # Register the Barlow Twins model with custom weights model_registry['barlow_twins_custom'] = lambda: get_model('barlow_twins_custom')
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Python
210
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('compact_resnet50_V4') assert model.identifier == 'compact_resnet50_V4'
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Python
210
8
# import self-written scripts to get random positions and manage exp import exp_utils LOCATION = '7tscanner' if __name__ == '__main__': exp_utils.run_exp(LOCATION, exp_name='harveywritten', train=False)
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Python
211
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('mobilenet_v2_1_0_224') assert model.identifier == 'mobilenet_v2_1_0_224'
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Python
211
8
import brainscore_vision import pytest @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('mobilenet_v2_1_0_160') assert model.identifier == 'mobilenet_v2_1_0_160'
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Python
211
8
import brainscore_vision import pytest @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('mobilenet_v2_1_0_128') assert model.identifier == 'mobilenet_v2_1_0_128'
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Python
211
7
from pathlib import Path default_exec_file = Path(__file__).absolute().parents[2] / "lightgbm" def pytest_addoption(parser): parser.addoption("--execfile", action="store", default=str(default_exec_file))
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Python
211
8
import brainscore_vision import pytest @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('mobilenet_v2_1_3_224') assert model.identifier == 'mobilenet_v2_1_3_224'
b659f454efc6acff999bb72041be6ef8fbf05b470265492fd1527b25a256a50f
Python
211
6
# EIANN/_network.py (compatibility shim) """ The module '_network.py' has been renamed to 'network.py' This file is a shim that exists for backward compatibility with old pickle files. """ from .network import *
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Python
211
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('mobilenet_v2_1_4_224') assert model.identifier == 'mobilenet_v2_1_4_224'
3c09abaccd376bb2bb7948310bf565d4c2cb00fb85ba122ad447fc1c69a99c20
Python
212
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('dinov2_vitg14_reg_lc') assert model.identifier == 'dinov2_vitg14_reg_lc'
5139e98b403c1f3800112ce234c221011144e3c23b04c94262a95f5cc80fee14
Python
212
10
# import various from . import dataproc from . import generators from . import callbacks from . import plot from . import metrics from . import inits from . import models from . import utils from . import layers
575ad29bf661e0c59eb4f2692427fdb7261bdf920183d325e0154231d12627ec
Python
212
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('dinov2_vitl14_reg_lc') assert model.identifier == 'dinov2_vitl14_reg_lc'
76c620179d0cd9007268439286b30661e260ae65bc27ff836ecf9715c3d31154
Python
212
8
import brainscore_vision import pytest @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('mobilenet_v2_0_5_192') assert model.identifier == 'mobilenet_v2_0_5_192'
c6d40660ce2b5bea55143e498137c01e7632d87d660a1d56029c271a6ca55d2c
Python
212
8
import brainscore_vision import pytest @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('mobilenet_v2_1_0_192') assert model.identifier == 'mobilenet_v2_1_0_192'
f327c1e1813239b04a25e47fb684ef4f6be9bb12f7461f886b3895179ce3219d
Python
212
9
import brainscore_vision import pytest @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('mobilenet_v2_0_5_224') assert model.identifier == 'mobilenet_v2_0_5_224'
14abcea40adb1a59d33ef85a86977cddc826c9584fe1ca10eb6f49c542e6f40b
Python
213
6
import brainscore_vision def test_has_identifier(): model = brainscore_vision.load_model('20260408_2033_stl10_disentangled_alpha00') assert model.identifier == '20260408_2033_stl10_disentangled_alpha00'
39bb2f9cf75db8cbd433a9e305d0ed77add666766b4ac0bdf2958f986bc4632e
Python
213
6
import brainscore_vision def test_has_identifier(): model = brainscore_vision.load_model('20260408_2033_stl10_disentangled_alpha04') assert model.identifier == '20260408_2033_stl10_disentangled_alpha04'
c7bc6b5593bc097594acb790159f66e108a83ea06155276ef23ec627c0109029
Python
213
10
class FileExtensionError(FileNotFoundError): """Raise an exception for extension-related issues.""" pass class MRTrixError(IOError): """Raise an exception for MRPreproc-related issues.""" pass
121ec71ec8538e261c334407d69dfc069d1fd3a9f7786f7fe82ea36e2ebe39b8
Python
214
8
import brainscore_vision import pytest @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('mobilenet_v2_0_75_224') assert model.identifier == 'mobilenet_v2_0_75_224'
20ebbb98e364f0045ea7c09dbc51bba4c3c51fa6d0c7fad3d2b5ef6b39adc334
Python
214
8
import brainscore_vision import pytest @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('mobilenet_v2_0_75_160') assert model.identifier == 'mobilenet_v2_0_75_160'
633bd0717a6da25194806860ff5014bcec42e557c080878e4ea282da97d2cda8
Python
214
11
from __future__ import absolute_import import os import errno def mkdir_if_missing(dir_path): try: os.makedirs(dir_path) except OSError as e: if e.errno != errno.EEXIST: raise
cacd2918bea3256f5d77143a214500bb7a02ac1b196030512033cc8e0125aed4
Python
214
9
import brainscore_vision import pytest @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('mobilenet_v2_0_75_192') assert model.identifier == 'mobilenet_v2_0_75_192'
5ddf8f8c40b2e34dfb5a2330cc3b0b7119893245410effcf4c5567f97f9e22dd
Python
215
6
import os import numpy as np import nibabel as nib nii = nib.Nifti2Image(np.random.rand(2,3,4,4), affine = np.diag([4,3,2,1])) nib.save(nii,os.path.join(os.path.dirname(os.path.realpath(__file__)), 'test.nii.gz'))
6aa6a7969bc8f18b0698a9c18f3caaa7c8c3cce12ba406b63ad9f9b045a5721b
Python
215
12
import numpy as np import pytest @pytest.fixture(scope="function") def rng(): return np.random.default_rng() @pytest.fixture(scope="function") def rng_fixed_seed(): return np.random.default_rng(seed=42)
9e8b5b442c73b9c9317aaa1350a1f2f4c94792492f0a060dc3612ed83db50086
Python
215
8
from typing import Literal from typing import TypeAlias AiPromptKind: TypeAlias = Literal["points", "box"] AiOutputFormat: TypeAlias = Literal[ "rectangle", "polygon", "mask", "circle", "oriented_rectangle" ]
b8972938dd7711ce84dd80cd1745cf95919feb3429399cae0cfeb4b677756cd4
Python
215
8
import pytest import brainscore_vision @pytest.mark.travis_slow def test_has_identifier(): model = brainscore_vision.load_model('focalnet_tiny_lrf_in1k') assert model.identifier == 'focalnet_tiny_lrf_in1k'