mmselfsup/tools/analysis_tools/visualize_tsne.py

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# Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os.path as osp
import time
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from functools import partial
from typing import Optional
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import matplotlib.pyplot as plt
import mmengine
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import numpy as np
import torch
import torch.nn.functional as F
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from mmengine.config import Config, DictAction
from mmengine.dataset import default_collate, worker_init_fn
from mmengine.dist import get_rank
from mmengine.logging import MMLogger
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from mmengine.utils import mkdir_or_exist
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from sklearn.manifold import TSNE
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from torch.utils.data import DataLoader
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from mmselfsup.apis import init_model
from mmselfsup.registry import DATA_SAMPLERS, DATASETS
from mmselfsup.utils import register_all_modules
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def parse_args():
parser = argparse.ArgumentParser(description='t-SNE visualization')
parser.add_argument('config', help='tsne config file path')
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parser.add_argument('--checkpoint', default=None, help='checkpoint file')
Bump version to v0.8.0 (#269) * [Fix]: Fix mmcls upgrade bug (#235) * [Feature]: Add multi machine dist_train (#232) * [Feature]: Add multi machine dist_train * [Fix]: Change bash to sh * [Fix]: Fix missing sh suffix * [Refactor]: Change bash to sh * [Refactor] Add unit test (#234) * [Refactor] add unit test * update workflow * update * [Fix] fix lint * update test * refactor moco and densecl unit test * fix lint * add unit test * update unit test * remove modification * [Feature]: Add MAE metafile (#238) * [Feature]: Add MAE metafile * [Fix]: Fix lint * [Fix]: Change LARS to AdamW in the metafile of MAE * [Fix] fix codecov bug (#241) * [Fix] fix codecov bug * update comment * [Refactor] Using MMCls backbones (#233) * [Refactor] using backbones from MMCls * [Refactor] modify the unit test * [Fix] modify default setting of out_indices * [Docs] fix lint * [Refactor] modify super init * [Refactore] remove res_layer.py * using mmcv PatchEmbed * [Fix]: Fix outdated problem (#249) * [Fix]: Fix outdated problem * [Fix]: Update MoCov3 bibtex * [Fix]: Use abs path in README * [Fix]: Reformat MAE bibtex * [Fix]: Reformat MoCov3 bibtex * [Feature] Resume from the latest checkpoint automatically. (#245) * [Feature] Resume from the latest checkpoint automatically. * fix windows path problem * fix lint * add code reference * [Docs] add docstring for ResNet and ResNeXt (#252) * [Feature] support KNN benchmark (#243) * [Feature] support KNN benchmark * [Fix] add docstring and multi-machine testing * [Fix] fix lint * [Fix] change args format and check init_cfg * [Docs] add benchmark tutorial * [Docs] add benchmark results * [Feature]: SimMIM supported (#239) * [Feature]: SimMIM Pretrain * [Feature]: Add mix precision and 16x128 config * [Fix]: Fix config import bug * [Fix]: Fix config bug * [Feature]: Simim Finetune * [Fix]: Log every 100 * [Fix]: Fix eval problem * [Feature]: Add docstring for simmim * [Refactor]: Merge layer wise lr decay to Default constructor * [Fix]:Fix simmim evaluation bug * [Fix]: Change model to be compatible to latest version of mmcls * [Fix]: Fix lint * [Fix]: Rewrite forward_train for classification cls * [Feature]: Add UT * [Fix]: Fix lint * [Feature]: Add 32 gpus training for simmim ft * [Fix]: Rename mmcls classifier wrapper * [Fix]: Add docstring to SimMIMNeck * [Feature]: Generate docstring for the forward function of simmim encoder * [Fix]: Rewrite the class docstring for constructor * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Reformat config * [Fix]: Add img resolution * [Feature]: Add readme and metafile * [Fix]: Fix typo in README.md * [Fix]: Change BlackMaskGen to BlockwiseMaskGenerator * [Fix]: Change the name of SwinForSimMIM * [Fix]: Delete irrelevant files * [Feature]: Create extra transformerfinetuneconstructor * [Fix]: Fix lint * [Fix]: Update SimMIM README * [Fix]: Change SimMIMPretrainHead to SimMIMHead * [Fix]: Fix the docstring of ft constructor * [Fix]: Fix UT * [Fix]: Recover deletion Co-authored-by: Your <you@example.com> * [Fix] add seed to distributed sampler (#250) * [Fix] add seed to distributed sampler * fix lint * [Feature] Add ImageNet21k (#225) * solve memory leak by limited implementation * fix lint problem Co-authored-by: liming <liming.ai@bytedance.com> * [Refactor] change args format to '--a-b' (#253) * [Refactor] change args format to `--a-b` * modify tsne script * modify 'sh' files * modify getting_started.md * modify getting_started.md * [Fix] fix 'mkdir' error in prepare_voc07_cls.sh (#261) * [Fix] fix positional parameter error (#260) * [Fix] fix command errors in benchmarks tutorial (#263) * [Docs] add brief installation steps in README.md (#265) * [Docs] add colab tutorial (#247) * [Docs] add colab tutorial * fix lint * modify the colab tutorial, using API to train the model * modify the description * remove # * modify the command * [Docs] translate 6_benchmarks.md into Chinese (#262) * [Docs] translate 6_benchmarks.md into Chinese * Update 6_benchmarks.md change 基准 to 基准评测 * Update 6_benchmarks.md (1) Add Chinese translation of ‘1 folder for ImageNet nearest-neighbor classification task’ (2) 数据预准备 -> 数据准备 * [Docs] remove install scripts in README (#267) * [Docs] Update version information in dev branch (#268) * update version to v0.8.0 * fix lint * [Fix]: Install the latest mmcls * [Fix]: Add SimMIM in RAEDME Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> Co-authored-by: Your <you@example.com> Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com> Co-authored-by: liming <liming.ai@bytedance.com> Co-authored-by: RenQin <45731309+soonera@users.noreply.github.com> Co-authored-by: YuanLiuuuuuu <3463423099@qq.com>
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parser.add_argument('--work-dir', help='the dir to save logs and models')
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parser.add_argument(
'--vis-stage',
choices=['backbone', 'neck', 'pre_logits'],
default='backbone',
help='the visualization stage of the model')
Bump version to v0.8.0 (#269) * [Fix]: Fix mmcls upgrade bug (#235) * [Feature]: Add multi machine dist_train (#232) * [Feature]: Add multi machine dist_train * [Fix]: Change bash to sh * [Fix]: Fix missing sh suffix * [Refactor]: Change bash to sh * [Refactor] Add unit test (#234) * [Refactor] add unit test * update workflow * update * [Fix] fix lint * update test * refactor moco and densecl unit test * fix lint * add unit test * update unit test * remove modification * [Feature]: Add MAE metafile (#238) * [Feature]: Add MAE metafile * [Fix]: Fix lint * [Fix]: Change LARS to AdamW in the metafile of MAE * [Fix] fix codecov bug (#241) * [Fix] fix codecov bug * update comment * [Refactor] Using MMCls backbones (#233) * [Refactor] using backbones from MMCls * [Refactor] modify the unit test * [Fix] modify default setting of out_indices * [Docs] fix lint * [Refactor] modify super init * [Refactore] remove res_layer.py * using mmcv PatchEmbed * [Fix]: Fix outdated problem (#249) * [Fix]: Fix outdated problem * [Fix]: Update MoCov3 bibtex * [Fix]: Use abs path in README * [Fix]: Reformat MAE bibtex * [Fix]: Reformat MoCov3 bibtex * [Feature] Resume from the latest checkpoint automatically. (#245) * [Feature] Resume from the latest checkpoint automatically. * fix windows path problem * fix lint * add code reference * [Docs] add docstring for ResNet and ResNeXt (#252) * [Feature] support KNN benchmark (#243) * [Feature] support KNN benchmark * [Fix] add docstring and multi-machine testing * [Fix] fix lint * [Fix] change args format and check init_cfg * [Docs] add benchmark tutorial * [Docs] add benchmark results * [Feature]: SimMIM supported (#239) * [Feature]: SimMIM Pretrain * [Feature]: Add mix precision and 16x128 config * [Fix]: Fix config import bug * [Fix]: Fix config bug * [Feature]: Simim Finetune * [Fix]: Log every 100 * [Fix]: Fix eval problem * [Feature]: Add docstring for simmim * [Refactor]: Merge layer wise lr decay to Default constructor * [Fix]:Fix simmim evaluation bug * [Fix]: Change model to be compatible to latest version of mmcls * [Fix]: Fix lint * [Fix]: Rewrite forward_train for classification cls * [Feature]: Add UT * [Fix]: Fix lint * [Feature]: Add 32 gpus training for simmim ft * [Fix]: Rename mmcls classifier wrapper * [Fix]: Add docstring to SimMIMNeck * [Feature]: Generate docstring for the forward function of simmim encoder * [Fix]: Rewrite the class docstring for constructor * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Reformat config * [Fix]: Add img resolution * [Feature]: Add readme and metafile * [Fix]: Fix typo in README.md * [Fix]: Change BlackMaskGen to BlockwiseMaskGenerator * [Fix]: Change the name of SwinForSimMIM * [Fix]: Delete irrelevant files * [Feature]: Create extra transformerfinetuneconstructor * [Fix]: Fix lint * [Fix]: Update SimMIM README * [Fix]: Change SimMIMPretrainHead to SimMIMHead * [Fix]: Fix the docstring of ft constructor * [Fix]: Fix UT * [Fix]: Recover deletion Co-authored-by: Your <you@example.com> * [Fix] add seed to distributed sampler (#250) * [Fix] add seed to distributed sampler * fix lint * [Feature] Add ImageNet21k (#225) * solve memory leak by limited implementation * fix lint problem Co-authored-by: liming <liming.ai@bytedance.com> * [Refactor] change args format to '--a-b' (#253) * [Refactor] change args format to `--a-b` * modify tsne script * modify 'sh' files * modify getting_started.md * modify getting_started.md * [Fix] fix 'mkdir' error in prepare_voc07_cls.sh (#261) * [Fix] fix positional parameter error (#260) * [Fix] fix command errors in benchmarks tutorial (#263) * [Docs] add brief installation steps in README.md (#265) * [Docs] add colab tutorial (#247) * [Docs] add colab tutorial * fix lint * modify the colab tutorial, using API to train the model * modify the description * remove # * modify the command * [Docs] translate 6_benchmarks.md into Chinese (#262) * [Docs] translate 6_benchmarks.md into Chinese * Update 6_benchmarks.md change 基准 to 基准评测 * Update 6_benchmarks.md (1) Add Chinese translation of ‘1 folder for ImageNet nearest-neighbor classification task’ (2) 数据预准备 -> 数据准备 * [Docs] remove install scripts in README (#267) * [Docs] Update version information in dev branch (#268) * update version to v0.8.0 * fix lint * [Fix]: Install the latest mmcls * [Fix]: Add SimMIM in RAEDME Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> Co-authored-by: Your <you@example.com> Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com> Co-authored-by: liming <liming.ai@bytedance.com> Co-authored-by: RenQin <45731309+soonera@users.noreply.github.com> Co-authored-by: YuanLiuuuuuu <3463423099@qq.com>
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parser.add_argument(
'--max-num-class',
type=int,
default=20,
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help='the maximum number of classes to apply t-SNE algorithms, now the'
'function supports maximum 20 classes')
parser.add_argument('--seed', type=int, default=0, help='random seed')
parser.add_argument(
'--deterministic',
action='store_true',
help='whether to set deterministic options for CUDNN backend.')
parser.add_argument(
'--cfg-options',
nargs='+',
action=DictAction,
help='override some settings in the used config, the key-value pair '
'in xxx=yyy format will be merged into config file. If the value to '
'be overwritten is a list, it should be like key="[a,b]" or key=a,b '
'It also allows nested list/tuple values, e.g. key="[(a,b),(c,d)]" '
'Note that the quotation marks are necessary and that no white space '
'is allowed.')
parser.add_argument(
'--device', default='cuda:0', help='Device used for inference')
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# t-SNE settings
Bump version to v0.8.0 (#269) * [Fix]: Fix mmcls upgrade bug (#235) * [Feature]: Add multi machine dist_train (#232) * [Feature]: Add multi machine dist_train * [Fix]: Change bash to sh * [Fix]: Fix missing sh suffix * [Refactor]: Change bash to sh * [Refactor] Add unit test (#234) * [Refactor] add unit test * update workflow * update * [Fix] fix lint * update test * refactor moco and densecl unit test * fix lint * add unit test * update unit test * remove modification * [Feature]: Add MAE metafile (#238) * [Feature]: Add MAE metafile * [Fix]: Fix lint * [Fix]: Change LARS to AdamW in the metafile of MAE * [Fix] fix codecov bug (#241) * [Fix] fix codecov bug * update comment * [Refactor] Using MMCls backbones (#233) * [Refactor] using backbones from MMCls * [Refactor] modify the unit test * [Fix] modify default setting of out_indices * [Docs] fix lint * [Refactor] modify super init * [Refactore] remove res_layer.py * using mmcv PatchEmbed * [Fix]: Fix outdated problem (#249) * [Fix]: Fix outdated problem * [Fix]: Update MoCov3 bibtex * [Fix]: Use abs path in README * [Fix]: Reformat MAE bibtex * [Fix]: Reformat MoCov3 bibtex * [Feature] Resume from the latest checkpoint automatically. (#245) * [Feature] Resume from the latest checkpoint automatically. * fix windows path problem * fix lint * add code reference * [Docs] add docstring for ResNet and ResNeXt (#252) * [Feature] support KNN benchmark (#243) * [Feature] support KNN benchmark * [Fix] add docstring and multi-machine testing * [Fix] fix lint * [Fix] change args format and check init_cfg * [Docs] add benchmark tutorial * [Docs] add benchmark results * [Feature]: SimMIM supported (#239) * [Feature]: SimMIM Pretrain * [Feature]: Add mix precision and 16x128 config * [Fix]: Fix config import bug * [Fix]: Fix config bug * [Feature]: Simim Finetune * [Fix]: Log every 100 * [Fix]: Fix eval problem * [Feature]: Add docstring for simmim * [Refactor]: Merge layer wise lr decay to Default constructor * [Fix]:Fix simmim evaluation bug * [Fix]: Change model to be compatible to latest version of mmcls * [Fix]: Fix lint * [Fix]: Rewrite forward_train for classification cls * [Feature]: Add UT * [Fix]: Fix lint * [Feature]: Add 32 gpus training for simmim ft * [Fix]: Rename mmcls classifier wrapper * [Fix]: Add docstring to SimMIMNeck * [Feature]: Generate docstring for the forward function of simmim encoder * [Fix]: Rewrite the class docstring for constructor * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Reformat config * [Fix]: Add img resolution * [Feature]: Add readme and metafile * [Fix]: Fix typo in README.md * [Fix]: Change BlackMaskGen to BlockwiseMaskGenerator * [Fix]: Change the name of SwinForSimMIM * [Fix]: Delete irrelevant files * [Feature]: Create extra transformerfinetuneconstructor * [Fix]: Fix lint * [Fix]: Update SimMIM README * [Fix]: Change SimMIMPretrainHead to SimMIMHead * [Fix]: Fix the docstring of ft constructor * [Fix]: Fix UT * [Fix]: Recover deletion Co-authored-by: Your <you@example.com> * [Fix] add seed to distributed sampler (#250) * [Fix] add seed to distributed sampler * fix lint * [Feature] Add ImageNet21k (#225) * solve memory leak by limited implementation * fix lint problem Co-authored-by: liming <liming.ai@bytedance.com> * [Refactor] change args format to '--a-b' (#253) * [Refactor] change args format to `--a-b` * modify tsne script * modify 'sh' files * modify getting_started.md * modify getting_started.md * [Fix] fix 'mkdir' error in prepare_voc07_cls.sh (#261) * [Fix] fix positional parameter error (#260) * [Fix] fix command errors in benchmarks tutorial (#263) * [Docs] add brief installation steps in README.md (#265) * [Docs] add colab tutorial (#247) * [Docs] add colab tutorial * fix lint * modify the colab tutorial, using API to train the model * modify the description * remove # * modify the command * [Docs] translate 6_benchmarks.md into Chinese (#262) * [Docs] translate 6_benchmarks.md into Chinese * Update 6_benchmarks.md change 基准 to 基准评测 * Update 6_benchmarks.md (1) Add Chinese translation of ‘1 folder for ImageNet nearest-neighbor classification task’ (2) 数据预准备 -> 数据准备 * [Docs] remove install scripts in README (#267) * [Docs] Update version information in dev branch (#268) * update version to v0.8.0 * fix lint * [Fix]: Install the latest mmcls * [Fix]: Add SimMIM in RAEDME Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> Co-authored-by: Your <you@example.com> Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com> Co-authored-by: liming <liming.ai@bytedance.com> Co-authored-by: RenQin <45731309+soonera@users.noreply.github.com> Co-authored-by: YuanLiuuuuuu <3463423099@qq.com>
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parser.add_argument(
'--n-components', type=int, default=2, help='the dimension of results')
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parser.add_argument(
'--perplexity',
type=float,
default=30.0,
help='The perplexity is related to the number of nearest neighbors'
'that is used in other manifold learning algorithms.')
Bump version to v0.8.0 (#269) * [Fix]: Fix mmcls upgrade bug (#235) * [Feature]: Add multi machine dist_train (#232) * [Feature]: Add multi machine dist_train * [Fix]: Change bash to sh * [Fix]: Fix missing sh suffix * [Refactor]: Change bash to sh * [Refactor] Add unit test (#234) * [Refactor] add unit test * update workflow * update * [Fix] fix lint * update test * refactor moco and densecl unit test * fix lint * add unit test * update unit test * remove modification * [Feature]: Add MAE metafile (#238) * [Feature]: Add MAE metafile * [Fix]: Fix lint * [Fix]: Change LARS to AdamW in the metafile of MAE * [Fix] fix codecov bug (#241) * [Fix] fix codecov bug * update comment * [Refactor] Using MMCls backbones (#233) * [Refactor] using backbones from MMCls * [Refactor] modify the unit test * [Fix] modify default setting of out_indices * [Docs] fix lint * [Refactor] modify super init * [Refactore] remove res_layer.py * using mmcv PatchEmbed * [Fix]: Fix outdated problem (#249) * [Fix]: Fix outdated problem * [Fix]: Update MoCov3 bibtex * [Fix]: Use abs path in README * [Fix]: Reformat MAE bibtex * [Fix]: Reformat MoCov3 bibtex * [Feature] Resume from the latest checkpoint automatically. (#245) * [Feature] Resume from the latest checkpoint automatically. * fix windows path problem * fix lint * add code reference * [Docs] add docstring for ResNet and ResNeXt (#252) * [Feature] support KNN benchmark (#243) * [Feature] support KNN benchmark * [Fix] add docstring and multi-machine testing * [Fix] fix lint * [Fix] change args format and check init_cfg * [Docs] add benchmark tutorial * [Docs] add benchmark results * [Feature]: SimMIM supported (#239) * [Feature]: SimMIM Pretrain * [Feature]: Add mix precision and 16x128 config * [Fix]: Fix config import bug * [Fix]: Fix config bug * [Feature]: Simim Finetune * [Fix]: Log every 100 * [Fix]: Fix eval problem * [Feature]: Add docstring for simmim * [Refactor]: Merge layer wise lr decay to Default constructor * [Fix]:Fix simmim evaluation bug * [Fix]: Change model to be compatible to latest version of mmcls * [Fix]: Fix lint * [Fix]: Rewrite forward_train for classification cls * [Feature]: Add UT * [Fix]: Fix lint * [Feature]: Add 32 gpus training for simmim ft * [Fix]: Rename mmcls classifier wrapper * [Fix]: Add docstring to SimMIMNeck * [Feature]: Generate docstring for the forward function of simmim encoder * [Fix]: Rewrite the class docstring for constructor * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Reformat config * [Fix]: Add img resolution * [Feature]: Add readme and metafile * [Fix]: Fix typo in README.md * [Fix]: Change BlackMaskGen to BlockwiseMaskGenerator * [Fix]: Change the name of SwinForSimMIM * [Fix]: Delete irrelevant files * [Feature]: Create extra transformerfinetuneconstructor * [Fix]: Fix lint * [Fix]: Update SimMIM README * [Fix]: Change SimMIMPretrainHead to SimMIMHead * [Fix]: Fix the docstring of ft constructor * [Fix]: Fix UT * [Fix]: Recover deletion Co-authored-by: Your <you@example.com> * [Fix] add seed to distributed sampler (#250) * [Fix] add seed to distributed sampler * fix lint * [Feature] Add ImageNet21k (#225) * solve memory leak by limited implementation * fix lint problem Co-authored-by: liming <liming.ai@bytedance.com> * [Refactor] change args format to '--a-b' (#253) * [Refactor] change args format to `--a-b` * modify tsne script * modify 'sh' files * modify getting_started.md * modify getting_started.md * [Fix] fix 'mkdir' error in prepare_voc07_cls.sh (#261) * [Fix] fix positional parameter error (#260) * [Fix] fix command errors in benchmarks tutorial (#263) * [Docs] add brief installation steps in README.md (#265) * [Docs] add colab tutorial (#247) * [Docs] add colab tutorial * fix lint * modify the colab tutorial, using API to train the model * modify the description * remove # * modify the command * [Docs] translate 6_benchmarks.md into Chinese (#262) * [Docs] translate 6_benchmarks.md into Chinese * Update 6_benchmarks.md change 基准 to 基准评测 * Update 6_benchmarks.md (1) Add Chinese translation of ‘1 folder for ImageNet nearest-neighbor classification task’ (2) 数据预准备 -> 数据准备 * [Docs] remove install scripts in README (#267) * [Docs] Update version information in dev branch (#268) * update version to v0.8.0 * fix lint * [Fix]: Install the latest mmcls * [Fix]: Add SimMIM in RAEDME Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> Co-authored-by: Your <you@example.com> Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com> Co-authored-by: liming <liming.ai@bytedance.com> Co-authored-by: RenQin <45731309+soonera@users.noreply.github.com> Co-authored-by: YuanLiuuuuuu <3463423099@qq.com>
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parser.add_argument(
'--early-exaggeration',
type=float,
default=12.0,
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help='Controls how tight natural clusters in the original space are in'
'the embedded space and how much space will be between them.')
Bump version to v0.8.0 (#269) * [Fix]: Fix mmcls upgrade bug (#235) * [Feature]: Add multi machine dist_train (#232) * [Feature]: Add multi machine dist_train * [Fix]: Change bash to sh * [Fix]: Fix missing sh suffix * [Refactor]: Change bash to sh * [Refactor] Add unit test (#234) * [Refactor] add unit test * update workflow * update * [Fix] fix lint * update test * refactor moco and densecl unit test * fix lint * add unit test * update unit test * remove modification * [Feature]: Add MAE metafile (#238) * [Feature]: Add MAE metafile * [Fix]: Fix lint * [Fix]: Change LARS to AdamW in the metafile of MAE * [Fix] fix codecov bug (#241) * [Fix] fix codecov bug * update comment * [Refactor] Using MMCls backbones (#233) * [Refactor] using backbones from MMCls * [Refactor] modify the unit test * [Fix] modify default setting of out_indices * [Docs] fix lint * [Refactor] modify super init * [Refactore] remove res_layer.py * using mmcv PatchEmbed * [Fix]: Fix outdated problem (#249) * [Fix]: Fix outdated problem * [Fix]: Update MoCov3 bibtex * [Fix]: Use abs path in README * [Fix]: Reformat MAE bibtex * [Fix]: Reformat MoCov3 bibtex * [Feature] Resume from the latest checkpoint automatically. (#245) * [Feature] Resume from the latest checkpoint automatically. * fix windows path problem * fix lint * add code reference * [Docs] add docstring for ResNet and ResNeXt (#252) * [Feature] support KNN benchmark (#243) * [Feature] support KNN benchmark * [Fix] add docstring and multi-machine testing * [Fix] fix lint * [Fix] change args format and check init_cfg * [Docs] add benchmark tutorial * [Docs] add benchmark results * [Feature]: SimMIM supported (#239) * [Feature]: SimMIM Pretrain * [Feature]: Add mix precision and 16x128 config * [Fix]: Fix config import bug * [Fix]: Fix config bug * [Feature]: Simim Finetune * [Fix]: Log every 100 * [Fix]: Fix eval problem * [Feature]: Add docstring for simmim * [Refactor]: Merge layer wise lr decay to Default constructor * [Fix]:Fix simmim evaluation bug * [Fix]: Change model to be compatible to latest version of mmcls * [Fix]: Fix lint * [Fix]: Rewrite forward_train for classification cls * [Feature]: Add UT * [Fix]: Fix lint * [Feature]: Add 32 gpus training for simmim ft * [Fix]: Rename mmcls classifier wrapper * [Fix]: Add docstring to SimMIMNeck * [Feature]: Generate docstring for the forward function of simmim encoder * [Fix]: Rewrite the class docstring for constructor * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Reformat config * [Fix]: Add img resolution * [Feature]: Add readme and metafile * [Fix]: Fix typo in README.md * [Fix]: Change BlackMaskGen to BlockwiseMaskGenerator * [Fix]: Change the name of SwinForSimMIM * [Fix]: Delete irrelevant files * [Feature]: Create extra transformerfinetuneconstructor * [Fix]: Fix lint * [Fix]: Update SimMIM README * [Fix]: Change SimMIMPretrainHead to SimMIMHead * [Fix]: Fix the docstring of ft constructor * [Fix]: Fix UT * [Fix]: Recover deletion Co-authored-by: Your <you@example.com> * [Fix] add seed to distributed sampler (#250) * [Fix] add seed to distributed sampler * fix lint * [Feature] Add ImageNet21k (#225) * solve memory leak by limited implementation * fix lint problem Co-authored-by: liming <liming.ai@bytedance.com> * [Refactor] change args format to '--a-b' (#253) * [Refactor] change args format to `--a-b` * modify tsne script * modify 'sh' files * modify getting_started.md * modify getting_started.md * [Fix] fix 'mkdir' error in prepare_voc07_cls.sh (#261) * [Fix] fix positional parameter error (#260) * [Fix] fix command errors in benchmarks tutorial (#263) * [Docs] add brief installation steps in README.md (#265) * [Docs] add colab tutorial (#247) * [Docs] add colab tutorial * fix lint * modify the colab tutorial, using API to train the model * modify the description * remove # * modify the command * [Docs] translate 6_benchmarks.md into Chinese (#262) * [Docs] translate 6_benchmarks.md into Chinese * Update 6_benchmarks.md change 基准 to 基准评测 * Update 6_benchmarks.md (1) Add Chinese translation of ‘1 folder for ImageNet nearest-neighbor classification task’ (2) 数据预准备 -> 数据准备 * [Docs] remove install scripts in README (#267) * [Docs] Update version information in dev branch (#268) * update version to v0.8.0 * fix lint * [Fix]: Install the latest mmcls * [Fix]: Add SimMIM in RAEDME Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> Co-authored-by: Your <you@example.com> Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com> Co-authored-by: liming <liming.ai@bytedance.com> Co-authored-by: RenQin <45731309+soonera@users.noreply.github.com> Co-authored-by: YuanLiuuuuuu <3463423099@qq.com>
2022-03-31 18:47:54 +08:00
parser.add_argument(
'--learning-rate',
type=float,
default=200.0,
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help='The learning rate for t-SNE is usually in the range'
'[10.0, 1000.0]. If the learning rate is too high, the data may look'
'like a ball with any point approximately equidistant from its nearest'
'neighbours. If the learning rate is too low, most points may look'
'compressed in a dense cloud with few outliers.')
Bump version to v0.8.0 (#269) * [Fix]: Fix mmcls upgrade bug (#235) * [Feature]: Add multi machine dist_train (#232) * [Feature]: Add multi machine dist_train * [Fix]: Change bash to sh * [Fix]: Fix missing sh suffix * [Refactor]: Change bash to sh * [Refactor] Add unit test (#234) * [Refactor] add unit test * update workflow * update * [Fix] fix lint * update test * refactor moco and densecl unit test * fix lint * add unit test * update unit test * remove modification * [Feature]: Add MAE metafile (#238) * [Feature]: Add MAE metafile * [Fix]: Fix lint * [Fix]: Change LARS to AdamW in the metafile of MAE * [Fix] fix codecov bug (#241) * [Fix] fix codecov bug * update comment * [Refactor] Using MMCls backbones (#233) * [Refactor] using backbones from MMCls * [Refactor] modify the unit test * [Fix] modify default setting of out_indices * [Docs] fix lint * [Refactor] modify super init * [Refactore] remove res_layer.py * using mmcv PatchEmbed * [Fix]: Fix outdated problem (#249) * [Fix]: Fix outdated problem * [Fix]: Update MoCov3 bibtex * [Fix]: Use abs path in README * [Fix]: Reformat MAE bibtex * [Fix]: Reformat MoCov3 bibtex * [Feature] Resume from the latest checkpoint automatically. (#245) * [Feature] Resume from the latest checkpoint automatically. * fix windows path problem * fix lint * add code reference * [Docs] add docstring for ResNet and ResNeXt (#252) * [Feature] support KNN benchmark (#243) * [Feature] support KNN benchmark * [Fix] add docstring and multi-machine testing * [Fix] fix lint * [Fix] change args format and check init_cfg * [Docs] add benchmark tutorial * [Docs] add benchmark results * [Feature]: SimMIM supported (#239) * [Feature]: SimMIM Pretrain * [Feature]: Add mix precision and 16x128 config * [Fix]: Fix config import bug * [Fix]: Fix config bug * [Feature]: Simim Finetune * [Fix]: Log every 100 * [Fix]: Fix eval problem * [Feature]: Add docstring for simmim * [Refactor]: Merge layer wise lr decay to Default constructor * [Fix]:Fix simmim evaluation bug * [Fix]: Change model to be compatible to latest version of mmcls * [Fix]: Fix lint * [Fix]: Rewrite forward_train for classification cls * [Feature]: Add UT * [Fix]: Fix lint * [Feature]: Add 32 gpus training for simmim ft * [Fix]: Rename mmcls classifier wrapper * [Fix]: Add docstring to SimMIMNeck * [Feature]: Generate docstring for the forward function of simmim encoder * [Fix]: Rewrite the class docstring for constructor * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Reformat config * [Fix]: Add img resolution * [Feature]: Add readme and metafile * [Fix]: Fix typo in README.md * [Fix]: Change BlackMaskGen to BlockwiseMaskGenerator * [Fix]: Change the name of SwinForSimMIM * [Fix]: Delete irrelevant files * [Feature]: Create extra transformerfinetuneconstructor * [Fix]: Fix lint * [Fix]: Update SimMIM README * [Fix]: Change SimMIMPretrainHead to SimMIMHead * [Fix]: Fix the docstring of ft constructor * [Fix]: Fix UT * [Fix]: Recover deletion Co-authored-by: Your <you@example.com> * [Fix] add seed to distributed sampler (#250) * [Fix] add seed to distributed sampler * fix lint * [Feature] Add ImageNet21k (#225) * solve memory leak by limited implementation * fix lint problem Co-authored-by: liming <liming.ai@bytedance.com> * [Refactor] change args format to '--a-b' (#253) * [Refactor] change args format to `--a-b` * modify tsne script * modify 'sh' files * modify getting_started.md * modify getting_started.md * [Fix] fix 'mkdir' error in prepare_voc07_cls.sh (#261) * [Fix] fix positional parameter error (#260) * [Fix] fix command errors in benchmarks tutorial (#263) * [Docs] add brief installation steps in README.md (#265) * [Docs] add colab tutorial (#247) * [Docs] add colab tutorial * fix lint * modify the colab tutorial, using API to train the model * modify the description * remove # * modify the command * [Docs] translate 6_benchmarks.md into Chinese (#262) * [Docs] translate 6_benchmarks.md into Chinese * Update 6_benchmarks.md change 基准 to 基准评测 * Update 6_benchmarks.md (1) Add Chinese translation of ‘1 folder for ImageNet nearest-neighbor classification task’ (2) 数据预准备 -> 数据准备 * [Docs] remove install scripts in README (#267) * [Docs] Update version information in dev branch (#268) * update version to v0.8.0 * fix lint * [Fix]: Install the latest mmcls * [Fix]: Add SimMIM in RAEDME Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> Co-authored-by: Your <you@example.com> Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com> Co-authored-by: liming <liming.ai@bytedance.com> Co-authored-by: RenQin <45731309+soonera@users.noreply.github.com> Co-authored-by: YuanLiuuuuuu <3463423099@qq.com>
2022-03-31 18:47:54 +08:00
parser.add_argument(
'--n-iter',
type=int,
default=1000,
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help='Maximum number of iterations for the optimization. Should be at'
'least 250.')
Bump version to v0.8.0 (#269) * [Fix]: Fix mmcls upgrade bug (#235) * [Feature]: Add multi machine dist_train (#232) * [Feature]: Add multi machine dist_train * [Fix]: Change bash to sh * [Fix]: Fix missing sh suffix * [Refactor]: Change bash to sh * [Refactor] Add unit test (#234) * [Refactor] add unit test * update workflow * update * [Fix] fix lint * update test * refactor moco and densecl unit test * fix lint * add unit test * update unit test * remove modification * [Feature]: Add MAE metafile (#238) * [Feature]: Add MAE metafile * [Fix]: Fix lint * [Fix]: Change LARS to AdamW in the metafile of MAE * [Fix] fix codecov bug (#241) * [Fix] fix codecov bug * update comment * [Refactor] Using MMCls backbones (#233) * [Refactor] using backbones from MMCls * [Refactor] modify the unit test * [Fix] modify default setting of out_indices * [Docs] fix lint * [Refactor] modify super init * [Refactore] remove res_layer.py * using mmcv PatchEmbed * [Fix]: Fix outdated problem (#249) * [Fix]: Fix outdated problem * [Fix]: Update MoCov3 bibtex * [Fix]: Use abs path in README * [Fix]: Reformat MAE bibtex * [Fix]: Reformat MoCov3 bibtex * [Feature] Resume from the latest checkpoint automatically. (#245) * [Feature] Resume from the latest checkpoint automatically. * fix windows path problem * fix lint * add code reference * [Docs] add docstring for ResNet and ResNeXt (#252) * [Feature] support KNN benchmark (#243) * [Feature] support KNN benchmark * [Fix] add docstring and multi-machine testing * [Fix] fix lint * [Fix] change args format and check init_cfg * [Docs] add benchmark tutorial * [Docs] add benchmark results * [Feature]: SimMIM supported (#239) * [Feature]: SimMIM Pretrain * [Feature]: Add mix precision and 16x128 config * [Fix]: Fix config import bug * [Fix]: Fix config bug * [Feature]: Simim Finetune * [Fix]: Log every 100 * [Fix]: Fix eval problem * [Feature]: Add docstring for simmim * [Refactor]: Merge layer wise lr decay to Default constructor * [Fix]:Fix simmim evaluation bug * [Fix]: Change model to be compatible to latest version of mmcls * [Fix]: Fix lint * [Fix]: Rewrite forward_train for classification cls * [Feature]: Add UT * [Fix]: Fix lint * [Feature]: Add 32 gpus training for simmim ft * [Fix]: Rename mmcls classifier wrapper * [Fix]: Add docstring to SimMIMNeck * [Feature]: Generate docstring for the forward function of simmim encoder * [Fix]: Rewrite the class docstring for constructor * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Reformat config * [Fix]: Add img resolution * [Feature]: Add readme and metafile * [Fix]: Fix typo in README.md * [Fix]: Change BlackMaskGen to BlockwiseMaskGenerator * [Fix]: Change the name of SwinForSimMIM * [Fix]: Delete irrelevant files * [Feature]: Create extra transformerfinetuneconstructor * [Fix]: Fix lint * [Fix]: Update SimMIM README * [Fix]: Change SimMIMPretrainHead to SimMIMHead * [Fix]: Fix the docstring of ft constructor * [Fix]: Fix UT * [Fix]: Recover deletion Co-authored-by: Your <you@example.com> * [Fix] add seed to distributed sampler (#250) * [Fix] add seed to distributed sampler * fix lint * [Feature] Add ImageNet21k (#225) * solve memory leak by limited implementation * fix lint problem Co-authored-by: liming <liming.ai@bytedance.com> * [Refactor] change args format to '--a-b' (#253) * [Refactor] change args format to `--a-b` * modify tsne script * modify 'sh' files * modify getting_started.md * modify getting_started.md * [Fix] fix 'mkdir' error in prepare_voc07_cls.sh (#261) * [Fix] fix positional parameter error (#260) * [Fix] fix command errors in benchmarks tutorial (#263) * [Docs] add brief installation steps in README.md (#265) * [Docs] add colab tutorial (#247) * [Docs] add colab tutorial * fix lint * modify the colab tutorial, using API to train the model * modify the description * remove # * modify the command * [Docs] translate 6_benchmarks.md into Chinese (#262) * [Docs] translate 6_benchmarks.md into Chinese * Update 6_benchmarks.md change 基准 to 基准评测 * Update 6_benchmarks.md (1) Add Chinese translation of ‘1 folder for ImageNet nearest-neighbor classification task’ (2) 数据预准备 -> 数据准备 * [Docs] remove install scripts in README (#267) * [Docs] Update version information in dev branch (#268) * update version to v0.8.0 * fix lint * [Fix]: Install the latest mmcls * [Fix]: Add SimMIM in RAEDME Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> Co-authored-by: Your <you@example.com> Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com> Co-authored-by: liming <liming.ai@bytedance.com> Co-authored-by: RenQin <45731309+soonera@users.noreply.github.com> Co-authored-by: YuanLiuuuuuu <3463423099@qq.com>
2022-03-31 18:47:54 +08:00
parser.add_argument(
'--n-iter-without-progress',
type=int,
default=300,
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help='Maximum number of iterations without progress before we abort'
Bump version to v0.8.0 (#269) * [Fix]: Fix mmcls upgrade bug (#235) * [Feature]: Add multi machine dist_train (#232) * [Feature]: Add multi machine dist_train * [Fix]: Change bash to sh * [Fix]: Fix missing sh suffix * [Refactor]: Change bash to sh * [Refactor] Add unit test (#234) * [Refactor] add unit test * update workflow * update * [Fix] fix lint * update test * refactor moco and densecl unit test * fix lint * add unit test * update unit test * remove modification * [Feature]: Add MAE metafile (#238) * [Feature]: Add MAE metafile * [Fix]: Fix lint * [Fix]: Change LARS to AdamW in the metafile of MAE * [Fix] fix codecov bug (#241) * [Fix] fix codecov bug * update comment * [Refactor] Using MMCls backbones (#233) * [Refactor] using backbones from MMCls * [Refactor] modify the unit test * [Fix] modify default setting of out_indices * [Docs] fix lint * [Refactor] modify super init * [Refactore] remove res_layer.py * using mmcv PatchEmbed * [Fix]: Fix outdated problem (#249) * [Fix]: Fix outdated problem * [Fix]: Update MoCov3 bibtex * [Fix]: Use abs path in README * [Fix]: Reformat MAE bibtex * [Fix]: Reformat MoCov3 bibtex * [Feature] Resume from the latest checkpoint automatically. (#245) * [Feature] Resume from the latest checkpoint automatically. * fix windows path problem * fix lint * add code reference * [Docs] add docstring for ResNet and ResNeXt (#252) * [Feature] support KNN benchmark (#243) * [Feature] support KNN benchmark * [Fix] add docstring and multi-machine testing * [Fix] fix lint * [Fix] change args format and check init_cfg * [Docs] add benchmark tutorial * [Docs] add benchmark results * [Feature]: SimMIM supported (#239) * [Feature]: SimMIM Pretrain * [Feature]: Add mix precision and 16x128 config * [Fix]: Fix config import bug * [Fix]: Fix config bug * [Feature]: Simim Finetune * [Fix]: Log every 100 * [Fix]: Fix eval problem * [Feature]: Add docstring for simmim * [Refactor]: Merge layer wise lr decay to Default constructor * [Fix]:Fix simmim evaluation bug * [Fix]: Change model to be compatible to latest version of mmcls * [Fix]: Fix lint * [Fix]: Rewrite forward_train for classification cls * [Feature]: Add UT * [Fix]: Fix lint * [Feature]: Add 32 gpus training for simmim ft * [Fix]: Rename mmcls classifier wrapper * [Fix]: Add docstring to SimMIMNeck * [Feature]: Generate docstring for the forward function of simmim encoder * [Fix]: Rewrite the class docstring for constructor * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Reformat config * [Fix]: Add img resolution * [Feature]: Add readme and metafile * [Fix]: Fix typo in README.md * [Fix]: Change BlackMaskGen to BlockwiseMaskGenerator * [Fix]: Change the name of SwinForSimMIM * [Fix]: Delete irrelevant files * [Feature]: Create extra transformerfinetuneconstructor * [Fix]: Fix lint * [Fix]: Update SimMIM README * [Fix]: Change SimMIMPretrainHead to SimMIMHead * [Fix]: Fix the docstring of ft constructor * [Fix]: Fix UT * [Fix]: Recover deletion Co-authored-by: Your <you@example.com> * [Fix] add seed to distributed sampler (#250) * [Fix] add seed to distributed sampler * fix lint * [Feature] Add ImageNet21k (#225) * solve memory leak by limited implementation * fix lint problem Co-authored-by: liming <liming.ai@bytedance.com> * [Refactor] change args format to '--a-b' (#253) * [Refactor] change args format to `--a-b` * modify tsne script * modify 'sh' files * modify getting_started.md * modify getting_started.md * [Fix] fix 'mkdir' error in prepare_voc07_cls.sh (#261) * [Fix] fix positional parameter error (#260) * [Fix] fix command errors in benchmarks tutorial (#263) * [Docs] add brief installation steps in README.md (#265) * [Docs] add colab tutorial (#247) * [Docs] add colab tutorial * fix lint * modify the colab tutorial, using API to train the model * modify the description * remove # * modify the command * [Docs] translate 6_benchmarks.md into Chinese (#262) * [Docs] translate 6_benchmarks.md into Chinese * Update 6_benchmarks.md change 基准 to 基准评测 * Update 6_benchmarks.md (1) Add Chinese translation of ‘1 folder for ImageNet nearest-neighbor classification task’ (2) 数据预准备 -> 数据准备 * [Docs] remove install scripts in README (#267) * [Docs] Update version information in dev branch (#268) * update version to v0.8.0 * fix lint * [Fix]: Install the latest mmcls * [Fix]: Add SimMIM in RAEDME Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> Co-authored-by: Your <you@example.com> Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com> Co-authored-by: liming <liming.ai@bytedance.com> Co-authored-by: RenQin <45731309+soonera@users.noreply.github.com> Co-authored-by: YuanLiuuuuuu <3463423099@qq.com>
2022-03-31 18:47:54 +08:00
'the optimization.')
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parser.add_argument(
'--init', type=str, default='random', help='The init method')
args = parser.parse_args()
return args
def post_process():
pass
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def main():
args = parse_args()
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# register all modules in mmselfsup into the registries
register_all_modules()
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cfg = Config.fromfile(args.config)
if args.cfg_options is not None:
cfg.merge_from_dict(args.cfg_options)
# set cudnn_benchmark
if cfg.get('cudnn_benchmark', False):
torch.backends.cudnn.benchmark = True
# work_dir is determined in this priority: CLI > segment in file > filename
if args.work_dir is not None:
# update configs according to CLI args if args.work_dir is not None
cfg.work_dir = args.work_dir
elif cfg.get('work_dir', None) is None:
# use config filename as default work_dir if cfg.work_dir is None
work_type = args.config.split('/')[1]
cfg.work_dir = osp.join('./work_dirs', work_type,
osp.splitext(osp.basename(args.config))[0])
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# create work_dir
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timestamp = time.strftime('%Y%m%d_%H%M%S', time.localtime())
tsne_work_dir = osp.join(cfg.work_dir, f'tsne_{timestamp}/')
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mkdir_or_exist(osp.abspath(tsne_work_dir))
# init the logger before other steps
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log_file = osp.join(tsne_work_dir, 'extract.log')
logger = MMLogger.get_instance(
'mmselfsup',
logger_name='mmselfsup',
log_file=log_file,
log_level=cfg.log_level)
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# build the model from a config file and a checkpoint file
model = init_model(cfg, args.checkpoint, device=args.device)
logger.info(f'Model loaded and the output indices of backbone is '
f'{model.backbone.out_indices}.')
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# build the dataset
extract_dataloader_cfg = cfg.get('extract_dataloader')
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extract_dataset_cfg = extract_dataloader_cfg.pop('dataset')
if isinstance(extract_dataset_cfg, dict):
dataset = DATASETS.build(extract_dataset_cfg)
if hasattr(dataset, 'full_init'):
dataset.full_init()
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# compress dataset, select that the label is less then max_num_class
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subset_idx_list = []
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for i in range(len(dataset)):
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if dataset.get_data_info(i)['gt_label'] < args.max_num_class:
subset_idx_list.append(i)
dataset.get_subset_(subset_idx_list)
logger.info(f'Apply t-SNE to visualize {len(subset_idx_list)} samples.')
# build sampler
sampler_cfg = extract_dataloader_cfg.pop('sampler')
if isinstance(sampler_cfg, dict):
sampler = DATA_SAMPLERS.build(
sampler_cfg, default_args=dict(dataset=dataset, seed=args.seed))
# build dataloader
init_fn: Optional[partial]
if args.seed is not None:
init_fn = partial(
worker_init_fn,
num_workers=extract_dataloader_cfg.get('num_workers'),
rank=get_rank(),
seed=args.seed)
else:
init_fn = None
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tsne_dataloader = DataLoader(
dataset=dataset,
sampler=sampler,
collate_fn=default_collate,
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worker_init_fn=init_fn,
**extract_dataloader_cfg)
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results = dict()
features = []
labels = []
progress_bar = mmengine.ProgressBar(len(tsne_dataloader))
for _, data in enumerate(tsne_dataloader):
with torch.no_grad():
# preprocess data
data = model.data_preprocessor(data)
batch_inputs, batch_data_samples = \
data['inputs'], data['data_samples']
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# extract backbone features
batch_features = model.extract_feat(
batch_inputs, stage=args.vis_stage)
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# post process
if args.vis_stage == 'backbone':
if getattr(model.backbone, 'output_cls_token', False) is False:
batch_features = [
F.adaptive_avg_pool2d(inputs, 1).squeeze()
for inputs in batch_features
]
else:
# output_cls_token is True, here t-SNE uses cls_token
batch_features = [feat[-1] for feat in batch_features]
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batch_labels = torch.cat(
[i.gt_label.label for i in batch_data_samples])
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# save batch features
features.append(batch_features)
labels.extend(batch_labels.cpu().numpy())
progress_bar.update()
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for i in range(len(features[0])):
key = 'feat_' + str(model.backbone.out_indices[i])
results[key] = np.concatenate(
[batch[i].cpu().numpy() for batch in features], axis=0)
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# save features
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mkdir_or_exist(f'{tsne_work_dir}features/')
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logger.info(f'Save features to {tsne_work_dir}features/')
for key, val in results.items():
output_file = f'{tsne_work_dir}features/{key}.npy'
np.save(output_file, val)
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# build t-SNE model
tsne_model = TSNE(
n_components=args.n_components,
perplexity=args.perplexity,
early_exaggeration=args.early_exaggeration,
learning_rate=args.learning_rate,
n_iter=args.n_iter,
n_iter_without_progress=args.n_iter_without_progress,
init=args.init)
# run and get results
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mkdir_or_exist(f'{tsne_work_dir}saved_pictures/')
logger.info('Running t-SNE.')
for key, val in results.items():
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result = tsne_model.fit_transform(val)
res_min, res_max = result.min(0), result.max(0)
res_norm = (result - res_min) / (res_max - res_min)
plt.figure(figsize=(10, 10))
plt.scatter(
res_norm[:, 0],
res_norm[:, 1],
alpha=1.0,
s=15,
c=labels,
cmap='tab20')
plt.savefig(f'{tsne_work_dir}saved_pictures/{key}.png')
logger.info(f'Saved results to {tsne_work_dir}saved_pictures/')
if __name__ == '__main__':
main()