Wheelodex » Projects » mmkit-features » mmkit_features-0.0.1a4-py3-none-any.whl

mmkit-features

View on PyPI — Reverse Dependencies (0)

0.0.1a4 mmkit_features-0.0.1a4-py3-none-any.whl

Wheel Details

Project: mmkit-features
Version: 0.0.1a4
Filename: mmkit_features-0.0.1a4-py3-none-any.whl
Download: [link]
Size: 145303
MD5: c2ff91f366c63867ff384dd2616a69ce
SHA256: 452f53f5eecd81ec5980e49fda180dbe330990228fa1573f92e84eb96167cb5a
Uploaded: 2023-05-13 02:33:16 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: mmkit-features
Version: 0.0.1a4
Summary: A multimodal architecture to build multimodal knowledge graphs with flexible multimodal feature extraction and dynamic multimodal concept generation.
Author: Donghua Chen
Author-Email: douglaschan[at]126.com
Home-Page: https://github.com/dhchenx/mmkit-features
Project-Url: Bug Reports, https://github.com/dhchenx/mmkit-features/issues
Project-Url: Source, https://github.com/dhchenx/mmkit-features
License: MIT
Keywords: multimodal features,multimodal data,knowledge base
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.6, <4
Requires-Dist: numpy
Requires-Dist: validators
Requires-Dist: tqdm
Requires-Dist: requests
Requires-Dist: h5py
Requires-Dist: nexusformat
Requires-Dist: torch (>=1.9.1)
Requires-Dist: opencv-python
Requires-Dist: librosa (>=0.9.1)
Requires-Dist: sklearn
Requires-Dist: spacy (>=3.2.3)
Requires-Dist: torchvision
Requires-Dist: ffmpeg-python
Requires-Dist: tensorflow (>=2.8)
Requires-Dist: transformers (>=4.29.0)
Requires-Dist: matplotlib
Requires-Dist: timm
Requires-Dist: scipy (>=1.8.0)
Requires-Dist: pandas
Requires-Dist: keras (>=2.6.0)
Requires-Dist: imageio (>=2.19.0)
Requires-Dist: pillow (>=9.0.1)
Requires-Dist: imutils (>=0.5.4)
Requires-Dist: check-manifest; extra == "dev"
Requires-Dist: coverage; extra == "test"
Provides-Extra: dev
Provides-Extra: test
Description-Content-Type: text/markdown
[Description omitted; length: 5385 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
mmkfeatures/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/fusion/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/fusion/blank.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/fusion/computational_sequence.py sha256=965BKyhfzJHZCPHeB0wu4VPyZNjSkfzijrjr0AqrsYc 8936
mmkfeatures/fusion/computational_sequence_x.py sha256=M8u64JD403mWxu0Z0JYcA5VPXMxaZazYyOh_A2mXmhA 9591
mmkfeatures/fusion/dataset.py sha256=cwfRnxh9UpOvi8RzzFIMFh7997B4hbV7xBQyxvdZRDc 20045
mmkfeatures/fusion/download_ops.py sha256=I5A-xoCbNsoIto6lYhHfPuDtBfeV9899sfH-as3WboY 1536
mmkfeatures/fusion/file_ops.py sha256=jE8hp45l_aqbSrWMs7IjiUCGEXNPHzLUMW5Qpt26X5Y 8630
mmkfeatures/fusion/integrity_check.py sha256=_U7Qis-l3ZIUVdqzZou-X7lfyuJgfwqu3ta9bJ0C5jo 4043
mmkfeatures/fusion/log.py sha256=6ms5COsnOMfwXatR0eb-kG8a73Zmd-hW7v38JL02B_8 3586
mmkfeatures/fusion/metadataconfigs.py sha256=EjYDtmg48FLdNPU9-bJgwSYlRHFDyUT7FMqj-HrVo6g 609
mmkfeatures/fusion/mm_features_lib.py sha256=KaNCktyspjImjjKDXwy-2m5PwmmQ38ksgpdtgpL9RyA 16127
mmkfeatures/fusion/mm_features_node.py sha256=R72sx2xwSTub4CTTH7-LE9W4od01ER4TrCzpUQtZR8Y 3720
mmkfeatures/fusion/read_mosi_h5_file.py sha256=PGeqvWgn39mBJe49V3oMUQ1rPkUQoFWygdVm3xRaxrg 1417
mmkfeatures/fusion/LSTHM/LSTHM.py sha256=uhsaGye9eM_6Px0Nzaza5aRJpmNPioOamaLtxpPneaw 896
mmkfeatures/fusion/LSTHM/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/fusion/LSTHM/test.py sha256=OhO7D9b9iZ6QQTQsF_OzD_rIBsRjgSyt9rnWxzLxOiw 862
mmkfeatures/fusion/dynamic_fusion_graph/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/fusion/dynamic_fusion_graph/model.py sha256=29ALGAIma_SW7SS3KpliTOA-vLQjPIXDK_H1fsVBon0 4959
mmkfeatures/fusion/multiple_attention/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/fusion/multiple_attention/model.py sha256=dPPG4GmF-uIfhrzBAiHHpkxn3Ca3zMP3ijRvVcBzX3A 3463
mmkfeatures/fusion/recurrent_fusion/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/fusion/recurrent_fusion/model.py sha256=OEjn0HGyt8KBv6SFkfCYOJIf-zix7iFATzyVC4zQipQ 2179
mmkfeatures/fusion/tensor_fusion/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/fusion/tensor_fusion/model.py sha256=lOGaWeOYuIMJZiRWs9YPGAkO8uY81RhU-8qmJLp4XZQ 2297
mmkfeatures/graph/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/graph/cgan_node.py sha256=C4xJna-7S_H6jIUKgTf0prjgstUI1bJIWs9XxEH7e4E 12743
mmkfeatures/graph/cnn_node.py sha256=-Tb15NJA_mfhkcHv3YS38IvW9J8Geg9kbaJxVjyh2ek 6533
mmkfeatures/graph/gan_node.py sha256=PIo6U0fyjINDUqbnTMXqEUTo4ElhSuRvfKOTW7TfuD0 37328
mmkfeatures/image/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/image/bow_extractor.py sha256=okElbxkNtPwLmqMC6AVPYD6wvbmDHUO542eG_V7ai04 4090
mmkfeatures/image/clutering_model.py sha256=xxFRsGoToRRjcnAhg-v7LXB9wWAa0vzNySWVSt8sGZE 2041
mmkfeatures/image/color_descriptor.py sha256=ofZWr7HN56jaeR7EVKU_ByKA5UDJcH7HH1U-Xxk5JIY 2227
mmkfeatures/image/conv_autoencoder.py sha256=r0ddvGLjvFeEB80k_tH125Ww_4jmLpjhzZA6zT2-lBU 2215
mmkfeatures/image/deep_extractor.py sha256=p9RxD6peiOZjGl7N32LAHLtdVuWO-RRvFd0OtXO1Jrc 2310
mmkfeatures/image/extractor.py sha256=0g_tlXzLCC8dWtgzI5ROpf2X049xwbnQRt1j8u3-edU 3472
mmkfeatures/image/image_autoencocer_builder.py sha256=7_lWu4a62c73puvmqvGaHXc322a8JeB0envrTkcNTXA 9997
mmkfeatures/image/image_features_wrapper.py sha256=5gpJ8hz8dAgeaWj4gR9x4p_7WD3HnA69IJ9Fv_yz-c4 4544
mmkfeatures/image/image_model.py sha256=BSGMyXJEIvqlUCJva5KtMrb45oLzafQYYbUb2ywhddw 5060
mmkfeatures/image/image_processing.py sha256=zSnMv70OXQWj02LsxdHWYbXkhduAerMdLGWWbu3LHxQ 1157
mmkfeatures/image/image_searcher.py sha256=jJKjSu1bMRnpvqsIjFrdxvgHqH7JaVTrYAVtNm9L8H8 1551
mmkfeatures/image/lbp_extractor.py sha256=TuiFTSzCRgpS5HScjSJClKi9bxmRbH8TFAImxyopHUE 2562
mmkfeatures/index/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/index/index_inverted_op.py sha256=_pqunsdhkY4kleWgfsCWFURTpwmOv1WeLJaIRH5wQm0 8691
mmkfeatures/index/index_positional_op.py sha256=-uUqtB3VgmZ8FMjm9RJ4WUBWxuv44GiKNr36SvwxCyU 8172
mmkfeatures/models/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/models/image_text_fusion/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/models/image_text_fusion/image_text_feature_wrapper.py sha256=aqK3zvgTapXZblXu1I3gOMXSMmTS60h4FZWjbZjsFig 3710
mmkfeatures/models/image_text_fusion/result_analysis.py sha256=vwjGNTkBijL8VGht-ymMOS7fsm1Oe9SdwQNpXWEaOFY 341
mmkfeatures/models/image_text_fusion/char_embedding/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/models/image_text_fusion/char_embedding/char_cnn_rnn.py sha256=FoJz5DpIrTRPHzEztqheD5H7aPjJaLVRTTFNhb1qxKQ 3481
mmkfeatures/models/image_text_fusion/char_embedding/fixed_gru.py sha256=6sFHfs8SS25zKtwo7JUpBIW6tw__IPuz_MZpkyNAJYU 1773
mmkfeatures/models/image_text_fusion/char_embedding/fixed_rnn.py sha256=4DiqD0P8F_jklVpwZY2e0IxtLWY5BwcP0rCud9r49pU 986
mmkfeatures/models/image_text_fusion/char_embedding/multi_model_dataset.py sha256=qciimjmBeJzuNToZomBFEZVDZrPxCJD4tg1pSjrmvJ4 1023
mmkfeatures/models/image_text_fusion/char_embedding/train.py sha256=jXhMcyAkI3GiV7nEc9wWOliBFa1KN6kkZ9xQi5mcTgk 7700
mmkfeatures/models/image_text_fusion/conv_autoencoder/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/models/image_text_fusion/conv_autoencoder/models.py sha256=XoyXV9ZPVmGHanpapKWQ08qoqwjvX-RKAtwYBJeuelU 1872
mmkfeatures/models/image_text_fusion/conv_autoencoder/train.py sha256=6F0LnfRVQWpzZmQ84_ntBelfALnb0ZH_JH4Y4UwaIeQ 4869
mmkfeatures/speech/MFCC.py sha256=jNlT2_K3emfjafHRxZjh6iR_UiU941DahE8kb4IXgqM 10728
mmkfeatures/speech/Volume.py sha256=enJclGD8CrEGNQpC1ICaBO8iWOnzFFkxXFCjXCnCx_0 987
mmkfeatures/speech/ZeroCR.py sha256=r62YSVO-W716g9CII1jA2SbSw72fBP7HLgPE_ADGRPw 529
mmkfeatures/speech/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/speech/audio_features_wrapper.py sha256=CcAQZZDbVotaR7c6IEC6cDAxCeFGdmBAyK64RgoscVA 3932
mmkfeatures/speech/feature_extraction_functions.py sha256=Uagh1SATuaBacOxojb6NG0x57ZKYXVJCcZI3XOgqTmM 10302
mmkfeatures/speech/sigproc.py sha256=Sf_H_MlQbZhrwOeMuRgMZYrPgpnUE2YvJ-8xIswFOWg 5988
mmkfeatures/speech/speech_toolkit.py sha256=2A_brttdtnzWlSBmodCjM_jrMiTyKjNjYvA8_tddRNU 6725
mmkfeatures/text/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/text/featurization.py sha256=31eMn9vNxuGs_cqxS9oL_wrsDIsvCCi3IrYpCx5Gva8 15117
mmkfeatures/text/structures.py sha256=2YRnUA8Pa4h7rg2AL-WAfUPn_FqhMJM_N-7rxA-JAvI 12556
mmkfeatures/text/text_features_wrapper.py sha256=V3nfJg3im1SAN8oYRGFhR0JKMAMUmSeptTZeTQsZjx4 4817
mmkfeatures/transformer/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/transformer/audio/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/transformer/audio/model.py sha256=Gj6or74DdxeuynhS_MuSdf8gFGueITpmWe3MdeGmLtY 1145
mmkfeatures/transformer/image/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/transformer/image/build.py sha256=7WNQemvQtj6cOHFsnr9TUMJs7ewYWWNbwjr6JAnmwbU 1511
mmkfeatures/transformer/image/config.py sha256=KjIHgbj5qE8JGzWqUscd9RZhEPkqNfxgmeGNWumn_ng 3114
mmkfeatures/transformer/image/model.py sha256=SHxVCjk-Y7CCb9crynWhoPoRXHmDl3WiUfXrW7CMyKs 5752
mmkfeatures/transformer/image/swin_transformer.py sha256=Ujtca9A5x8pkslPrp5E4BjRzDjNT_K52jKTtZHjtfO0 24366
mmkfeatures/transformer/image/utils.py sha256=8pryzNNBkr7h09kNrC2WHxIurfj29k9isyCU16vq8dU 3832
mmkfeatures/transformer/text/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/transformer/text/model.py sha256=jTqK16dAS36gBxkKHOXTn_EPUog3Lu5th5EJg9dvk9s 2973
mmkfeatures/transformer/video/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/transformer/video/data_generator.py sha256=znXF1885yoerU5JOg_AeyGx-65YE22TsbsVjUOmB7gc 6091
mmkfeatures/transformer/video/model.py sha256=n3Aa9OdNuYkH5gjRpYUHAsEk6jF0_jtRYmozQxsCJbc 10027
mmkfeatures/video/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/video/extract.py sha256=OmCQ9f4ahuhOsOiTRxjIgVtVGY3kHL8yetV5vS_wBWU 3905
mmkfeatures/video/model.py sha256=neRYlY3WkkazCEubdFIACloGG2RLPE9ZLfySFEhj7bQ 1809
mmkfeatures/video/preprocessing.py sha256=YYi--Kd3RuQz-KfELUtEf5CJeGXLA1rLnYdm70b6Jxc 1255
mmkfeatures/video/random_sequence_shuffler.py sha256=qfAvvvZsYhJr5UfAqbAfrk7uhR1jPcucVJIEpvSYWkc 794
mmkfeatures/video/resnext.py sha256=GVN16C_NNF-dzZ-arrFbS1tP4vRCEZsEc5V_7MiJcUc 6052
mmkfeatures/video/run.py sha256=yZqz-5AWjZQypwCj_c36ccYjEG4o9qC5g4eTd44V5S8 642
mmkfeatures/video/run_single_video.py sha256=3aByC0UHfoGbVsOSz94Nt6PCxoBR7EOvb9oY-DixeX4 3388
mmkfeatures/video/video_features_wrapper.py sha256=RxzDlhZYKrLvDlEeOX1hCjI6lN1pKy_NCbBtKp9vOKU 4010
mmkfeatures/video/video_loader.py sha256=eU1PA5l_fWR8ZTMU46HzqobE_L5RQhLdHUUy7LCOvBY 2751
mmkfeatures/video/video_toolkit.py sha256=jlHGRx6ajnRhI-oCc_miRqyHOTZteTVpvhvgydFutzs 1285
mmkfeatures/video/models/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/video/models/main.py sha256=0S3nARp0xUT--jIqkKPrk5qg01estA-TNQTC7OHFAps 4076
mmkfeatures/video/models/configs/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/video/models/i3d/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/video/models/i3d/extract_i3d.py sha256=kYu2az4uxjUk-0onI4SB20KZewLqxOo9qIHp1DDXn60 11433
mmkfeatures/video/models/pwc/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/video/models/pwc/extract_pwc.py sha256=6nJbgZjhwR0R5jHMMx-wP7gFGqIxMMxCKfXxO8czIw0 7396
mmkfeatures/video/models/r21d/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/video/models/r21d/extract_r21d.py sha256=X2JYUo9DU0VQuluOSZO_tNkArt1kGDWRVSJGF4W4wUE 5846
mmkfeatures/video/models/resnet/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mmkfeatures/video/models/resnet/extract_resnet.py sha256=SXoV1N5oQsSNwSvirRbVdYogY2gUsnCl6Lifaqn5DSk 7208
mmkfeatures/video/models/vggish/__init__.py sha256=Tlh9_ztZgPdHiZvon49FeedUkxnOj3CdtwNptzpykus 57
mmkfeatures/video/models/vggish/extract_vggish.py sha256=R_d9O6263r7jVbrPw7nMzckIoW207HfXdN1NYWxblso 3834
mmkit_features-0.0.1a4.dist-info/LICENSE sha256=pIo_716a5kYHfiPbWuKX7NoNUdtEVV182CC2ocjLV90 1086
mmkit_features-0.0.1a4.dist-info/METADATA sha256=6xtatB09ZnNNM9sZpxEpV8BAtcMVIw7sEkGxB8XFGN0 7283
mmkit_features-0.0.1a4.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
mmkit_features-0.0.1a4.dist-info/top_level.txt sha256=NZbWQOIqMRZ6C0N5zI98_kUQ1K2-JlJ2b0mXnn3TBu4 12
mmkit_features-0.0.1a4.dist-info/RECORD — —

top_level.txt

mmkfeatures