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google-deepmind/mathematics_dataset
https://github.com/google-deepmind/mathematics_dataset
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apache-2.0
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null
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Python
2026-05-04T02:45:10.886726
# Copyright 2018 DeepMind Technologies Limited. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
google-deepmind/mathematics_dataset
https://github.com/google-deepmind/mathematics_dataset
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null
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Python
2026-05-04T02:45:10.891950
# Copyright 2018 DeepMind Technologies Limited. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
google-deepmind/mathematics_dataset
https://github.com/google-deepmind/mathematics_dataset
null
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apache-2.0
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mathematics_dataset/sample/ops.py
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Python
2026-05-04T02:45:10.900775
# Copyright 2018 DeepMind Technologies Limited. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
google-deepmind/mathematics_dataset
https://github.com/google-deepmind/mathematics_dataset
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Python
2026-05-04T02:45:10.902278
# Copyright 2018 DeepMind Technologies Limited. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
google-deepmind/mathematics_dataset
https://github.com/google-deepmind/mathematics_dataset
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2026-05-04T02:45:10.904193
# Copyright 2018 DeepMind Technologies Limited. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
google-deepmind/mathematics_dataset
https://github.com/google-deepmind/mathematics_dataset
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mathematics_dataset/sample/number.py
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Python
2026-05-04T02:45:10.910432
# Copyright 2018 DeepMind Technologies Limited. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
google-deepmind/mathematics_dataset
https://github.com/google-deepmind/mathematics_dataset
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null
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Python
2026-05-04T02:45:10.918274
# Copyright 2018 DeepMind Technologies Limited. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
google-deepmind/mathematics_dataset
https://github.com/google-deepmind/mathematics_dataset
null
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mathematics_dataset/sample/polynomials.py
null
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Python
2026-05-04T02:45:10.926119
# Copyright 2018 DeepMind Technologies Limited. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
google-deepmind/mathematics_dataset
https://github.com/google-deepmind/mathematics_dataset
null
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mathematics_dataset/sample/polynomials_test.py
null
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Python
2026-05-04T02:45:11.373165
# Copyright 2018 DeepMind Technologies Limited. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
google-deepmind/mathematics_dataset
https://github.com/google-deepmind/mathematics_dataset
null
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mathematics_dataset/util/__init__.py
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Python
2026-05-04T02:45:11.389174
# Copyright 2018 DeepMind Technologies Limited. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
google-deepmind/mathematics_dataset
https://github.com/google-deepmind/mathematics_dataset
null
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apache-2.0
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mathematics_dataset/util/combinatorics.py
null
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Python
2026-05-04T02:45:11.445265
# Copyright 2018 DeepMind Technologies Limited. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
google-deepmind/mathematics_dataset
https://github.com/google-deepmind/mathematics_dataset
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mathematics_dataset/util/combinatorics_test.py
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Python
2026-05-04T02:45:11.465044
# Copyright 2018 DeepMind Technologies Limited. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
google-deepmind/mathematics_dataset
https://github.com/google-deepmind/mathematics_dataset
null
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apache-2.0
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mathematics_dataset/util/composition_test.py
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Python
2026-05-04T02:45:11.486783
# Copyright 2018 DeepMind Technologies Limited. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
google-deepmind/mathematics_dataset
https://github.com/google-deepmind/mathematics_dataset
null
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apache-2.0
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mathematics_dataset/util/composition.py
null
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Python
2026-05-04T02:45:11.492921
# Copyright 2018 DeepMind Technologies Limited. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
google-deepmind/mathematics_dataset
https://github.com/google-deepmind/mathematics_dataset
null
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apache-2.0
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mathematics_dataset/util/probability.py
null
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Python
2026-05-04T02:45:11.499100
# Copyright 2018 DeepMind Technologies Limited. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
google-deepmind/mathematics_dataset
https://github.com/google-deepmind/mathematics_dataset
null
null
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apache-2.0
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mathematics_dataset/util/probability_test.py
null
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Python
2026-05-04T02:45:11.505869
# Copyright 2018 DeepMind Technologies Limited. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
google-deepmind/mathematics_dataset
https://github.com/google-deepmind/mathematics_dataset
null
null
null
null
1,952
null
null
apache-2.0
null
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mathematics_dataset/util/display.py
null
null
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Python
2026-05-04T02:45:11.508420
# Copyright 2018 DeepMind Technologies Limited. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
google-deepmind/mathematics_dataset
https://github.com/google-deepmind/mathematics_dataset
null
null
null
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null
apache-2.0
null
null
null
null
null
null
null
mathematics_dataset/util/display_test.py
null
null
null
null
null
null
Python
2026-05-04T02:45:11.544121
# Copyright 2018 DeepMind Technologies Limited. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
google-deepmind/mathematics_dataset
https://github.com/google-deepmind/mathematics_dataset
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
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setup.py
null
null
null
null
null
null
Python
2026-05-04T02:45:11.908210
# Copyright 2019 DeepMind Technologies Limited. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
benchmarks/extract_dataset_configs/cub.py
null
null
null
null
null
null
Python
2026-05-04T02:45:14.729744
_base_ = 'configs/base.py' data_all_list = 'data/cub/CUB_200_2011/meta/fine_cls/all.txt' data_root = 'data/cub/CUB_200_2011/images/' img_norm_cfg = dict(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) data = dict( imgs_per_gpu=64, workers_per_gpu=2, extract=dict( type='RawDataset', ...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
benchmarks/selfsup/classification/imagenet/moby_deit_small_p16_8xb2048_30e_feature.py
null
null
null
null
null
null
Python
2026-05-04T02:45:14.731294
_base_ = 'configs/base.py' # oss config only works when using oss # sync local models and logs to oss oss_sync_config = dict(other_file_list=['**/events.out.tfevents*', '**/*log*']) oss_io_config = dict( ak_id='your oss ak id', ak_secret='your oss ak secret', hosts='your oss hosts', buckets=['your oss ...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
benchmarks/selfsup/classification/imagenet/fast_convmae_vit_base_patch16_8xb64_100e_fintune.py
null
null
null
null
null
null
Python
2026-05-04T02:45:14.738654
_base_ = 'configs/base.py' # open oss config when using oss # sync local models and logs to oss # oss_sync_config = dict(other_file_list=['**/events.out.tfevents*', '**/*log*']) # oss_io_config = dict( # ak_id='your oss ak id', # ak_secret='your oss ak secret', # hosts='your oss hosts', # buckets=['you...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
benchmarks/selfsup/classification/imagenet/moby_r50_8xb2048_20e_feature.py
null
null
null
null
null
null
Python
2026-05-04T02:45:14.740784
_base_ = 'configs/base.py' # oss config only works when using oss # sync local models and logs to oss oss_sync_config = dict(other_file_list=['**/events.out.tfevents*', '**/*log*']) oss_io_config = dict( ak_id='your oss ak id', ak_secret='your oss ak secret', hosts='your oss hosts', buckets=['your oss ...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
benchmarks/selfsup/classification/imagenet/dino_deit_small_p16_8xb2048_20e_feature.py
null
null
null
null
null
null
Python
2026-05-04T02:45:14.741981
_base_ = 'configs/base.py' # oss config only works when using oss # sync local models and logs to oss oss_sync_config = dict(other_file_list=['**/events.out.tfevents*', '**/*log*']) oss_io_config = dict( ak_id='your oss ak id', ak_secret='your oss ak secret', hosts='your oss hosts', buckets=['your oss ...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
benchmarks/selfsup/classification/imagenet/mae_vit_base_patch16_8xb64_100e_lrdecay075_fintune.py
null
null
null
null
null
null
Python
2026-05-04T02:45:14.743882
_base_ = './mae_vit_base_patch16_8xb64_100e_lrdecay065_fintune.py' # optimizer update_interval = 2 optimizer_config = dict(update_interval=update_interval) eff_batch_size = 64 * 8 * update_interval # 1024 lr_decay = 0.75 optimizer = dict( type='AdamW', lr=1e-3 * eff_batch_size / 256, weight_decay=0.05, ...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
benchmarks/extract_dataset_configs/imagenet.py
null
null
null
null
null
null
Python
2026-05-04T02:45:14.744899
_base_ = 'configs/base.py' data_all_list = 'data/imagenet_raw/meta/all_labeled.txt' data_root = 'data/imagenet_raw/' total_samples_num = 1281167 part_num = 2048 split_at = [*range(0, total_samples_num, part_num), total_samples_num] split_name = [*['train_idx%d' % i for i in range(len(split_at))], 'val'] img_norm_cfg...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
benchmarks/selfsup/classification/imagenet/mae_vit_large_patch16_8xb16_50e_lrdecay075_fintune.py
null
null
null
null
null
null
Python
2026-05-04T02:45:14.747233
_base_ = 'configs/base.py' # open oss config when using oss # sync local models and logs to oss # oss_sync_config = dict(other_file_list=['**/events.out.tfevents*', '**/*log*']) # oss_io_config = dict( # ak_id='your oss ak id', # ak_secret='your oss ak secret', # hosts='your oss hosts', # buckets=['you...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
benchmarks/selfsup/classification/imagenet/mae_vit_base_patch16_8xb64_100e_lrdecay065_fintune.py
null
null
null
null
null
null
Python
2026-05-04T02:45:14.748318
_base_ = 'configs/base.py' # open oss config when using oss # sync local models and logs to oss # oss_sync_config = dict(other_file_list=['**/events.out.tfevents*', '**/*log*']) # oss_io_config = dict( # ak_id='your oss ak id', # ak_secret='your oss ak secret', # hosts='your oss hosts', # buckets=['you...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
benchmarks/extract_dataset_configs/voc07.py
null
null
null
null
null
null
Python
2026-05-04T02:45:14.751203
data_root = 'data/VOCdevkit/VOC2007/JPEGImages' data_all_list = 'data/VOCdevkit/VOC2007/Lists/trainvaltest.txt' split_at = [5011] split_name = ['voc07_trainval', 'voc07_test'] img_norm_cfg = dict(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) data = dict( imgs_per_gpu=32, workers_per_gpu=2, extract...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
benchmarks/selfsup/classification/imagenet/mocov2_r50_8xb2048_40e_feature.py
null
null
null
null
null
null
Python
2026-05-04T02:45:15.329467
_base_ = 'configs/base.py' # oss config only works when using oss # sync local models and logs to oss oss_sync_config = dict(other_file_list=['**/events.out.tfevents*', '**/*log*']) oss_io_config = dict( ak_id='your oss ak id', ak_secret='your oss ak secret', hosts='your oss hosts', buckets=['your oss ...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
benchmarks/selfsup/classification/imagenet/resnet50_8xb32_100e_finetune.py
null
null
null
null
null
null
Python
2026-05-04T02:45:15.359139
_base_ = 'configs/base.py' # oss config only works when using oss # sync local models and logs to oss oss_sync_config = dict(other_file_list=['**/events.out.tfevents*', '**/*log*']) oss_io_config = dict( ak_id='your oss ak id', ak_secret='your oss ak secret', hosts='your oss hosts', buckets=['your oss ...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
benchmarks/selfsup/classification/imagenet/swav_r50_8xb2048_20e_feature.py
null
null
null
null
null
null
Python
2026-05-04T02:45:15.360673
_base_ = 'configs/base.py' # oss config only works when using oss # sync local models and logs to oss oss_sync_config = dict(other_file_list=['**/events.out.tfevents*', '**/*log*']) oss_io_config = dict( ak_id='your oss ak id', ak_secret='your oss ak secret', hosts='your oss hosts', buckets=['your oss ...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
benchmarks/tools/extract.py
null
null
null
null
null
null
Python
2026-05-04T02:45:15.364429
# Copyright (c) Alibaba, Inc. and its affiliates. import argparse import json import os import os.path as osp import random import time import mmcv import numpy as np import torch from mmcv.parallel import MMDataParallel, MMDistributedDataParallel from mmcv.runner import get_dist_info, init_dist, load_checkpoint from...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
benchmarks/tools/extract_backbone_weights.py
null
null
null
null
null
null
Python
2026-05-04T02:45:15.366876
# Copyright (c) Alibaba, Inc. and its affiliates. import argparse import torch from easycv.framework.errors import ValueError def parse_args(): parser = argparse.ArgumentParser( description='This script extracts backbone weights from a checkpoint') parser.add_argument('checkpoint', help='checkpoint ...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
benchmarks/selfsup/segmentation/voc/fcn_r50-d8_512x512_8xb4_60e_voc12aug.py
null
null
null
null
null
null
Python
2026-05-04T02:45:15.375048
_base_ = ['configs/base.py'] # model settings norm_cfg = dict(type='SyncBN', requires_grad=True) model = dict( type='EncoderDecoder', backbone=dict( type='ResNet', depth=50, num_stages=4, out_indices=(1, 2, 3, 4), dilations=(1, 1, 2, 4), strides=(1, 2, 1, 1), ...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
benchmarks/selfsup/detection/coco/mask_rcnn_r50_fpn_1x_coco.py
null
null
null
null
null
null
Python
2026-05-04T02:45:15.376135
_base_ = ['configs/base.py'] CLASSES = [ 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
benchmarks/selfsup/detection/coco/mask_rcnn_conv_vitdet_50e_coco.py
null
null
null
null
null
null
Python
2026-05-04T02:45:15.405803
_base_ = ['configs/base.py'] # model settings norm_cfg = dict(type='GN', num_groups=1, requires_grad=True) head_norm_cfg = dict(type='GN', num_groups=1, requires_grad=True) pretrained = 'http://pai-vision-data-hz.oss-cn-zhangjiakou.aliyuncs.com/EasyCV/modelzoo/selfsup/FastConvMAE/pretrained/pretrained.pth' model = di...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
benchmarks/selfsup/detection/coco/mask_rcnn_swin_tiny_1x_coco.py
null
null
null
null
null
null
Python
2026-05-04T02:45:15.406887
_base_ = ['configs/base.py'] CLASSES = [ 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umb...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/base.py
null
null
null
null
null
null
Python
2026-05-04T02:45:16.204648
train_cfg = {} test_cfg = {} optimizer_config = dict() # grad_clip, coalesce, bucket_size_mb # yapf:disable log_config = dict( interval=50, hooks=[ dict(type='TextLoggerHook'), # dict(type='TensorboardLoggerHook') ]) # yapf:enable # runtime settings dist_params = dict(backend='nccl') cudnn_...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/classification/imagenet/deit/deit_schedule.py
null
null
null
null
null
null
Python
2026-05-04T02:45:16.205603
_base_ = 'configs/base.py' log_config = dict( interval=10, hooks=[dict(type='TextLoggerHook'), dict(type='TensorboardLoggerHook')]) # additional hooks custom_hooks = [] # optimizer optimizer = dict( type='AdamW', lr=0.001, weight_decay=0.05, eps=1e-8, paramwise_options={ ...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
benchmarks/tools/knn_eval.py
null
null
null
null
null
null
Python
2026-05-04T02:45:16.207651
# Copyright (c) Alibaba, Inc. and its affiliates. import argparse from glob import glob import numpy as np import torch import torch.nn as nn from tqdm import tqdm args = argparse.ArgumentParser(description='Process some integers.') args.add_argument( 'feature_dir', type=str, help='feature root dir', ...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/classification/cifar10/r50_b128_300e_jpg.py
null
null
null
null
null
null
Python
2026-05-04T02:45:16.208970
_base_ = '../../base.py' # model settings model = dict( type='Classification', backbone=dict( type='ResNet', depth=50, out_indices=[4], # 4: stage-4 norm_cfg=dict(type='BN')), head=dict( type='ClsHead', with_avg_pool=True, in_channels=2048, num_classes=10)) # dataset...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/classification/cifar10/swintiny_b64_5e_jpg.py
null
null
null
null
null
null
Python
2026-05-04T02:45:16.211490
_base_ = '../../base.py' # model settings model = dict( type='Classification', backbone=dict( type='PytorchImageModelWrapper', model_name='swin_tiny_patch4_window7_224', num_classes=0, ), head=dict(type='ClsHead', in_channels=768, with_fc=True, num_classes=10)) # dataset settings...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/classification/imagenet/common/dataset/imagenet_classification.py
null
null
null
null
null
null
Python
2026-05-04T02:45:16.213004
_base_ = '../classification_base.py' class_list = [ '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '30', '31', '32', '33', '34', '35', '36', '37', '38', '39', '40', '41', '42', '43...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/classification/imagenet/common/classification_base.py
null
null
null
null
null
null
Python
2026-05-04T02:45:17.112732
_base_ = 'configs/base.py' log_config = dict( interval=10, hooks=[dict(type='TextLoggerHook'), dict(type='TensorboardLoggerHook')]) image_size2 = 224 image_size1 = int((256 / 224) * image_size2) img_norm_cfg = dict(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) predict = dict( type='Cl...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/classification/imagenet/deit/deit_base_patch16_224.py
null
null
null
null
null
null
Python
2026-05-04T02:45:17.114737
# model settings model = dict( type='Classification', train_preprocess=['mixUp'], pretrained=False, mixup_cfg=dict( mixup_alpha=0.8, cutmix_alpha=1.0, cutmix_minmax=None, prob=1.0, switch_prob=0.5, mode='batch', label_smoothing=0.1, num_cla...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
benchmarks/tools/linear_eval.py
null
null
null
null
null
null
Python
2026-05-04T02:45:17.218397
# Copyright (c) Alibaba, Inc. and its affiliates. import argparse import os import shutil import time import torch from easycv.framework.errors import ValueError args = argparse.ArgumentParser(description='Process some integers.') args.add_argument( 'model_path', type=str, help='linear eval model path', ...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/classification/imagenet/deitiii/imagenet_deitiii_large_patch16_192_jpg.py
null
null
null
null
null
null
Python
2026-05-04T02:45:18.091519
_base_ = './imagenet_deitiii_base_patch16_192_jpg.py' # model settings model = dict( backbone=dict(embed_dim=1024, depth=24, num_heads=16, drop_path_rate=0.45))
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/classification/imagenet/deitiii/imagenet_deitiii_small_patch16_224_jpg.py
null
null
null
null
null
null
Python
2026-05-04T02:45:18.092751
_base_ = [ './deitiii_base_patch16_192.py', './threeaug_imagenet_classification_224.py', './deitiii_schedule.py' ] # model settings model = dict( backbone=dict( type='VisionTransformer', img_size=[224], embed_dim=384, num_heads=6, drop_path_rate=0.05)) # optimizer op...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/classification/imagenet/deitiii/imagenet_deitiii_base_patch16_192_jpg.py
null
null
null
null
null
null
Python
2026-05-04T02:45:18.730125
_base_ = [ './deitiii_base_patch16_192.py', './threeaug_imagenet_classification_192.py', './deitiii_schedule.py' ]
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/classification/imagenet/deitiii/threeaug_imagenet_classification_224.py
null
null
null
null
null
null
Python
2026-05-04T02:45:18.762718
data_train_list = 'data/imagenet1k/train.txt' data_train_root = 'data/imagenet1k/train/' data_test_list = 'data/imagenet1k/val.txt' data_test_root = 'data/imagenet1k/val/' dataset_type = 'ClsDataset' img_norm_cfg = dict(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) three_augment_policies = [[ dict(type='P...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/classification/imagenet/edgevit/EdgeVit_b512x8_300e_jpg.py
null
null
null
null
null
null
Python
2026-05-04T02:45:18.797690
_base_ = '../../../base.py' log_config = dict( interval=10, hooks=[dict(type='TextLoggerHook'), dict(type='TensorboardLoggerHook')]) # model settings model = dict( type='Classification', backbone=dict( type='EdgeVit', depth=[1, 1, 3, 2], embed_dim=[36, 72, 144, 288],...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/classification/imagenet/deit/imagenet_deit_base_patch16_224_jpg.py
null
null
null
null
null
null
Python
2026-05-04T02:45:18.799284
_base_ = [ './deit_base_patch16_224.py', './randaug_imagenet_classification.py', './deit_schedule.py' ]
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/classification/imagenet/deit/randaug_imagenet_classification.py
null
null
null
null
null
null
Python
2026-05-04T02:45:18.837056
data_train_list = 'data/imagenet1k/train.txt' data_train_root = 'data/imagenet1k/train/' data_test_list = 'data/imagenet1k/val.txt' data_test_root = 'data/imagenet1k/val/' dataset_type = 'ClsDataset' img_norm_cfg = dict(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) train_pipeline = [ dict( type='R...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/classification/imagenet/deit/imagenet_deit_base_hydra_layer12_patch16_224_jpg.py
null
null
null
null
null
null
Python
2026-05-04T02:45:18.846677
_base_ = './imagenet_deit_base_patch16_224_jpg.py' # model settings model = dict(backbone=dict(hydra_attention=True, hydra_attention_layers=12))
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/classification/imagenet/deitiii/deitiii_schedule.py
null
null
null
null
null
null
Python
2026-05-04T02:45:18.847813
_base_ = 'configs/base.py' log_config = dict( interval=10, hooks=[dict(type='TextLoggerHook'), dict(type='TensorboardLoggerHook')]) # additional hooks custom_hooks = [] # optimizer optimizer = dict( type='Lamb', lr=0.003, weight_decay=0.05, eps=1e-8, paramwise_options={ ...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/classification/imagenet/deitiii/threeaug_imagenet_classification_192.py
null
null
null
null
null
null
Python
2026-05-04T02:45:18.944138
data_train_list = 'data/imagenet1k/train.txt' data_train_root = 'data/imagenet1k/train/' data_test_list = 'data/imagenet1k/val.txt' data_test_root = 'data/imagenet1k/val/' dataset_type = 'ClsDataset' img_norm_cfg = dict(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) three_augment_policies = [[ dict(type='P...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/classification/imagenet/edgevit/imagenet_edgeVIT_s_jpg.py
null
null
null
null
null
null
Python
2026-05-04T02:45:19.296159
_base_ = './EdgeVit_b512x8_300e_jpg.py' # model settings model = dict( type='Classification', train_preprocess=['mixUp'], mixup_cfg=dict( mixup_alpha=0.8, cutmix_alpha=1.0, cutmix_minmax=None, prob=1.0, switch_prob=0.5, mode='batch', label_smoothing=0....
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/classification/imagenet/edgevit/imagenet_edgeVIT_xxs_jpg.py
null
null
null
null
null
null
Python
2026-05-04T02:45:19.325381
_base_ = './EdgeVit_b512x8_300e_jpg.py' # model settings model = dict( type='Classification', backbone=dict( type='EdgeVit', depth=[1, 1, 3, 2], embed_dim=[36, 72, 144, 288], head_dim=36, mlp_ratio=[4] * 4, qkv_bias=True, num_classes=1000, drop_pat...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/classification/imagenet/edgevit/imagenet_edgeVIT_xs_jpg.py
null
null
null
null
null
null
Python
2026-05-04T02:45:19.330677
_base_ = './EdgeVit_b512x8_300e_jpg.py' model = dict( type='Classification', backbone=dict( type='EdgeVit', depth=[1, 1, 3, 1], embed_dim=[48, 96, 240, 384], head_dim=48, mlp_ratio=[4] * 4, qkv_bias=True, num_classes=1000, drop_path_rate=0.1, ...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/classification/imagenet/efficientformer/efficientformer_l1.py
null
null
null
null
null
null
Python
2026-05-04T02:45:19.347989
_base_ = '../../../base.py' log_config = dict( interval=10, hooks=[dict(type='TextLoggerHook'), dict(type='TensorboardLoggerHook')]) # model settings model = dict( type='Classification', backbone=dict( type='EfficientFormer', layers=[3, 2, 6, 4], embed_dims=[48, 96, 2...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/classification/imagenet/hrnet/hrnetw18_b32x8_100e_jpg.py
null
null
null
null
null
null
Python
2026-05-04T02:45:19.392644
_base_ = '../common/dataset/imagenet_classification.py' num_classes = 1000 # model settings model = dict( type='Classification', backbone=dict(type='HRNet', arch='w18', multi_scale_output=True), neck=dict(type='HRFuseScales', in_channels=(18, 36, 72, 144)), head=dict( type='ClsHead', wi...
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/classification/imagenet/efficientformer/efficientformer_l3.py
null
null
null
null
null
null
Python
2026-05-04T02:45:19.393635
_base_ = './efficientformer_l1.py' # model settings model = dict( backbone=dict( layers=[4, 4, 12, 6], embed_dims=[64, 128, 320, 512], vit_num=4))
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/classification/imagenet/efficientformer/efficientformer_l7.py
null
null
null
null
null
null
Python
2026-05-04T02:45:19.432351
_base_ = './efficientformer_l1.py' # model settings model = dict( backbone=dict( layers=[6, 6, 18, 8], embed_dims=[96, 192, 384, 768], vit_num=8))
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/classification/imagenet/hrnet/imagenet_hrnetw18_jpg.py
null
null
null
null
null
null
Python
2026-05-04T02:45:19.499402
_base_ = './hrnetw18_b32x8_100e_jpg.py' # model settings model = dict(backbone=dict(type='HRNet', arch='w18', multi_scale_output=True))
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/classification/imagenet/deit/imagenet_deit_base_hydra_layer8_patch16_224_jpg.py
null
null
null
null
null
null
Python
2026-05-04T02:45:20.802410
_base_ = './imagenet_deit_base_patch16_224_jpg.py' # model settings model = dict(backbone=dict(hydra_attention=True, hydra_attention_layers=8))
alibaba/EasyCV
https://github.com/alibaba/EasyCV
null
null
null
null
1,952
null
null
apache-2.0
null
null
null
null
null
null
null
configs/classification/imagenet/deitiii/deitiii_base_patch16_192.py
null
null
null
null
null
null
Python
2026-05-04T02:45:21.015599
# model settings model = dict( type='Classification', train_preprocess=['mixUp'], pretrained=False, mixup_cfg=dict( mixup_alpha=0.8, cutmix_alpha=1.0, cutmix_minmax=None, prob=1.0, switch_prob=0.5, mode='batch', label_smoothing=0.0, num_cla...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
nerfies/glo.py
null
null
null
null
null
null
Python
2026-05-04T02:45:23.323739
# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
nerfies/datasets/__init__.py
null
null
null
null
null
null
Python
2026-05-04T02:45:23.326641
# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
nerfies/datasets/nerfies.py
null
null
null
null
null
null
Python
2026-05-04T02:45:23.327948
# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
nerfies/__init__.py
null
null
null
null
null
null
Python
2026-05-04T02:45:23.346358
# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
nerfies/datasets/core.py
null
null
null
null
null
null
Python
2026-05-04T02:45:23.347987
# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
eval.py
null
null
null
null
null
null
Python
2026-05-04T02:45:23.355918
# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
nerfies/evaluation.py
null
null
null
null
null
null
Python
2026-05-04T02:45:23.356853
# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
nerfies/gpath.py
null
null
null
null
null
null
Python
2026-05-04T02:45:23.372214
# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
nerfies/camera.py
null
null
null
null
null
null
Python
2026-05-04T02:45:23.398279
# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
nerfies/configs.py
null
null
null
null
null
null
Python
2026-05-04T02:45:23.428316
# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
nerfies/image_utils.py
null
null
null
null
null
null
Python
2026-05-04T02:45:23.878400
# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
nerfies/modules.py
null
null
null
null
null
null
Python
2026-05-04T02:45:23.894610
# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
nerfies/quaternion.py
null
null
null
null
null
null
Python
2026-05-04T02:45:23.938913
# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
nerfies/model_utils.py
null
null
null
null
null
null
Python
2026-05-04T02:45:23.940292
# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
nerfies/schedules.py
null
null
null
null
null
null
Python
2026-05-04T02:45:23.955313
# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
nerfies/tf_camera.py
null
null
null
null
null
null
Python
2026-05-04T02:45:23.960841
# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
nerfies/rigid_body.py
null
null
null
null
null
null
Python
2026-05-04T02:45:23.973389
# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
nerfies/models.py
null
null
null
null
null
null
Python
2026-05-04T02:45:23.976468
# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
nerfies/training.py
null
null
null
null
null
null
Python
2026-05-04T02:45:23.977665
# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
nerfies/types.py
null
null
null
null
null
null
Python
2026-05-04T02:45:23.984415
# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
nerfies/utils.py
null
null
null
null
null
null
Python
2026-05-04T02:45:24.497253
# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
setup.py
null
null
null
null
null
null
Python
2026-05-04T02:45:24.499980
# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
nerfies/warping.py
null
null
null
null
null
null
Python
2026-05-04T02:45:24.508032
# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
third_party/pycolmap/pycolmap/database.py
null
null
null
null
null
null
Python
2026-05-04T02:45:24.560224
import numpy as np import os import sqlite3 #------------------------------------------------------------------------------- # convert SQLite BLOBs to/from numpy arrays def array_to_blob(arr): return np.getbuffer(arr) def blob_to_array(blob, dtype, shape=(-1,)): return np.frombuffer(blob, dtype).reshape(*shape...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
nerfies/visualization.py
null
null
null
null
null
null
Python
2026-05-04T02:45:24.560802
# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
third_party/pycolmap/pycolmap/camera.py
null
null
null
null
null
null
Python
2026-05-04T02:45:24.564094
# Author: True Price <jtprice at cs.unc.edu> import numpy as np from scipy.optimize import root #------------------------------------------------------------------------------- # # camera distortion functions for arrays of size (..., 2) # #----------------------------------------------------------------------------...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
third_party/pycolmap/pycolmap/image.py
null
null
null
null
null
null
Python
2026-05-04T02:45:24.564743
# Author: True Price <jtprice at cs.unc.edu> import numpy as np #------------------------------------------------------------------------------- # # Image # #------------------------------------------------------------------------------- class Image: def __init__(self, name_, camera_id_, q_, tvec_): self.nam...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
third_party/pycolmap/pycolmap/rotation.py
null
null
null
null
null
null
Python
2026-05-04T02:45:24.565616
# Author: True Price <jtprice at cs.unc.edu> import numpy as np #------------------------------------------------------------------------------- # # Axis-Angle Functions # #------------------------------------------------------------------------------- # returns the cross product matrix representation of a 3-vector...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
third_party/pycolmap/pycolmap/__init__.py
null
null
null
null
null
null
Python
2026-05-04T02:45:24.577160
from .camera import Camera from .database import COLMAPDatabase from .image import Image from .scene_manager import SceneManager from .rotation import Quaternion, DualQuaternion
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
third_party/pycolmap/pycolmap/scene_manager.py
null
null
null
null
null
null
Python
2026-05-04T02:45:24.577851
# Author: True Price <jtprice at cs.unc.edu> from collections import OrderedDict, defaultdict from io import StringIO from itertools import combinations import os import struct from .camera import Camera from .image import Image import numpy as np from .rotation import Quaternion #-----------------------------------...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
train.py
null
null
null
null
null
null
Python
2026-05-04T02:45:25.347611
# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
google/nerfies
https://github.com/google/nerfies
null
null
null
null
1,950
null
null
apache-2.0
null
null
null
null
null
null
null
third_party/pycolmap/setup.py
null
null
null
null
null
null
Python
2026-05-04T02:45:25.348114
import setuptools with open("README.md", "r", encoding="utf-8") as fh: long_description = fh.read() setuptools.setup( name="pycolmap", version="0.0.1", author="True Price", description="PyColmap", long_description=long_description, long_description_content_type="text/markdown", url="http...
kadirnar/whisper-plus
https://github.com/kadirnar/whisper-plus
null
null
null
null
1,949
null
null
apache-2.0
null
null
null
null
null
null
null
whisperplus/app.py
null
null
null
null
null
null
Python
2026-05-04T02:45:27.514703
import gradio as gr import torch from transformers import BitsAndBytesConfig, HqqConfig from whisperplus import ( SpeechToTextPipeline, download_youtube_to_mp3, download_youtube_to_mp4, format_speech_to_dialogue, ) from whisperplus.pipelines.long_text_summarization import LongTextSummarizationPipeline ...