chainercv2

View on PyPIReverse Dependencies (0)

0.0.49 chainercv2-0.0.49-py2.py3-none-any.whl

Wheel Details

Project: chainercv2
Version: 0.0.49
Filename: chainercv2-0.0.49-py2.py3-none-any.whl
Download: [link]
Size: 341498
MD5: 3ce7ac7261df6397a363c9bcff6a0ca2
SHA256: 06ea7d5d5ff5b87304d93669b737a907c87340b72961c1f3eb098ff21dfb5754
Uploaded: 2019-08-17T15:50:54

dist-info

METADATA

Metadata-Version: 2.1
Name: chainercv2
Version: 0.0.49
Summary: Image classification and segmentation models for Chainer
Author: Oleg Sémery
Author-Email: osemery[at]gmail.com
Home-Page: https://github.com/osmr/imgclsmob
License: MIT
Keywords: machine-learning deep-learning neuralnetwork image-classification chainer imagenet cifar svhn vgg resnet pyramidnet diracnet densenet condensenet wrn drn dpn darknet fishnet espnetv2 xdensnet squeezenet squeezenext shufflenet menet mobilenet igcv3 mnasnet darts xception inception polynet nasnet pnasnet ror proxylessnas dianet efficientnet image-segmentation voc ade20k cityscapes coco pspnet deeplabv3 fcn
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Requires-Dist: requests
Requires-Dist: chainer (>=5.0.0)
Description-Content-Type: text/markdown
[Description omitted; length: 95409 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.33.4)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
chainercv2/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
chainercv2/model_provider.py sha256=XFhDZWrq8cooloicI1LB1SBeNmk4xBbxOlCv1JRRMvE 32723
chainercv2/models/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
chainercv2/models/airnet.py sha256=tpUkZ9MCYtWtisJMdj4IYSjaQQ0xroSXNUbEQW_EiVo 13412
chainercv2/models/airnext.py sha256=SeaJMpiyDOP4VL2QydAaEfJvYFSpH0ynm0-qM3apf90 12261
chainercv2/models/alexnet.py sha256=YJkmJvxfAKj8SOl0JXAEpZj-vCoGztWqelNWk57wbpY 9716
chainercv2/models/bagnet.py sha256=SAymv6U0lg-3epkyLnaprRMQ21bVgvO80EPJ5frW0GM 11552
chainercv2/models/bamresnet.py sha256=66LVlJVF3cOljAzPgfU3A0A8NMba-SCN928WYiA1I8Q 14392
chainercv2/models/bninception.py sha256=dav-SFutuXUGouKa61588bqXW7_r0EjVIPBa7y4_2CE 15936
chainercv2/models/cbamresnet.py sha256=lUyysGoozQgnbt-8J45-hBZdrF_gC8BqXyR27DhIYdI 13672
chainercv2/models/channelnet.py sha256=OloazLJF71wCnQk7RjRAvAudDI_GzVEDuodlfBmAbqI 20219
chainercv2/models/common.py sha256=yNVo4ChWOLbb7V-FNsDAXEWL0XjIl2Xoces7_ujbn2k 33866
chainercv2/models/condensenet.py sha256=5QuInK91kvFF42dIPYVdV20UoEE9AMEPFwBSsdNe76U 15522
chainercv2/models/darknet.py sha256=MduDfV88ZWPDkedFxZJ-f2Rqxp1pSKNxxhKQlNL7my4 8859
chainercv2/models/darknet53.py sha256=rS2nd8w1OGqFiJOLVMXia6HRJeitKfMLZhyYjihtkQ4 7201
chainercv2/models/darts.py sha256=LNSo0imfVzCHgY4Dtk4kukHtq3e7yIl6myZ7K4tXxm0 21675
chainercv2/models/deeplabv3.py sha256=AR7GkJKj0-mPF5hvoaqNVAQv3butz7AYhQcOOzeGEFc 22465
chainercv2/models/densenet.py sha256=Ge-ktCL4W_VRvWbxmNcnPLta3bn-xDTbOAcsC2ZV_98 10738
chainercv2/models/densenet_cifar.py sha256=ErULr0fOyj6phshu6T6ztjiY7z93MktihacYOqfwg94 30115
chainercv2/models/diapreresnet.py sha256=DjD4SuPVAjYJt8icRgLWo1vYuPFTDWyfq6ScLRCoh3E 22514
chainercv2/models/diapreresnet_cifar.py sha256=iBiF4R4ILmQQS67gvcYsECCry0soj-Jl5Ckefg0f8MU 21148
chainercv2/models/diaresnet.py sha256=V-1-hQ1mg5rmmtRxZ61AR-iaMXflX1y-Wj2Ld_LMKk0 25939
chainercv2/models/diaresnet_cifar.py sha256=dbU3duYyrJ1Ku5Fc0TPcZx1Y49JAQDKKSxUi3XJG7VI 20470
chainercv2/models/diracnetv2.py sha256=QmKQa5Tbfwi-LVS6Yexr3BFGioplWAH0V5YnNbHIit4 9082
chainercv2/models/dla.py sha256=1RZNMVGdQCIcm0yZdI88PvRujn0iEEBlgnTme5qk9_M 21043
chainercv2/models/dpn.py sha256=TQG-hk_98aQGmZmWmcA8bdauCQa70QkyQo5B0l9rDHU 20513
chainercv2/models/drn.py sha256=vqWghIh0hUl1Sr4PsG4R5jKzALzUL0vOfdSbvIksOtQ 19962
chainercv2/models/efficientnet.py sha256=Uz-NATL59JjLinZSvJjWoFTPxGhE4imwbXLdW38FOs0 31503
chainercv2/models/espnetv2.py sha256=K_nrYPid-AL_-dob8q0Pkh6FuQakAN5j92L1pnmSCnw 18246
chainercv2/models/fcn8sd.py sha256=i_jy-09AvZyXnyfx2RNo11J9kxgDPhfAQGXBTgRgpeg 16187
chainercv2/models/fishnet.py sha256=7QOTICuIcs83mcevaKrd9Azzn2u7qnCoCNHWCcFl7yE 21988
chainercv2/models/igcv3.py sha256=46um-ATf_NZFfvAJRjaynHC_gIvJc44CD3n2Fo14DV4 10504
chainercv2/models/inceptionresnetv2.py sha256=dOuFX5lYr3iAeuvbTX-kYGzi8vgvVXw5rB8iwxqcVAA 21189
chainercv2/models/inceptionv3.py sha256=JZrmYfcz34227gXdFdXciPQK_0gnrobBc4-l0WpDcQM 23751
chainercv2/models/inceptionv4.py sha256=UueY3Oyl6rPmcJxTxnpxWF4mYxTbOBXqSvq2pzGMRrU 24124
chainercv2/models/irevnet.py sha256=vxiBv3Vt9AJMT5nvOKOVofn1PhF5DVuE_8yR1uMUJSc 15985
chainercv2/models/menet.py sha256=GVHdWtmCTkDmeH_qiVrvS07lFXecIODJ_Fdz7IKsyRk 16925
chainercv2/models/mnasnet.py sha256=ApqReZvttE7mIPjlG8NWzUsm2FeVhFsoSI8npbFjGQo 10671
chainercv2/models/mobilenet.py sha256=BtaKyaxxfiWrFvOGboBFcbxcAq4xlcBFAaCoAAr5YfU 12054
chainercv2/models/mobilenet_cub.py sha256=fI0uVBxj_-ugdu1Nf1-gwBVzbiTX3BR6oLQRPggWawY 7188
chainercv2/models/mobilenetv2.py sha256=ccAnwsutyc_MqUJKz_p3mkm1BGdPRCYEBrPLuCLOfMg 10255
chainercv2/models/mobilenetv3.py sha256=oNpaueBs80cii4CpD2LKyrXZ6HZQO93uuLuQhb5dvLI 19326
chainercv2/models/model_store.py sha256=0254M2sfhBQUaQF9OopHxzeDcDbFj7MLUE2eCu3KZjg 46863
chainercv2/models/nasnet.py sha256=DAn4HnCyl-ujsqno1Z33AaxFoyF1rUmxZKp8RtDVWDQ 41675
chainercv2/models/nin_cifar.py sha256=78rOjD-jeMrDSpn1o9pqXLPcUiEZRCS_bLDshi53BsI 8687
chainercv2/models/ntsnet_cub.py sha256=AbA16A30ptdqKUaNq1G_Iq-ZEYKKqfnAAt86H7VnJHM 14233
chainercv2/models/octresnet.py sha256=XracUVozJH3tn6VkdgFsciIVtviV9PcFa21fwUoCPNM 29245
chainercv2/models/peleenet.py sha256=IiVoX6lUoV7W1w5AP-TQh3U-UKPZnJQGMDgq5OmBEVo 11900
chainercv2/models/pnasnet.py sha256=xrXVU1Gsro_ADTV3-2veVz_k9bPB7R0KIYs0uMKEVNo 19410
chainercv2/models/polynet.py sha256=Nayp3MpdWPELvSg6i2dvctOsEAKgNKhnnx9TJGgQ_Js 32190
chainercv2/models/preresnet.py sha256=wgHz-pSlRtVlO7wJgUDHNwlICT_pBw3kiKlw7KqZBmw 27284
chainercv2/models/preresnet_cifar.py sha256=w5yCqjm_yKfoFTOr4Vjfr5mtn-2b6hVX7Li7_oJXsjs 24969
chainercv2/models/preresnet_cifar10.py sha256=KLVkeaZNSNchWHcEhNclNST6kKrf9XVziOK-MAvVsNM 7162
chainercv2/models/proxylessnas.py sha256=mnWG_OW1zoDNWzHdhCSsu5d3SOmFPp3Aiyj7HhW6NVA 15393
chainercv2/models/proxylessnas_cub.py sha256=AsBamq7DNXvc7H6ZmiYmalz4IaWXfRW0EUfjx5jEqeY 3950
chainercv2/models/pspnet.py sha256=1WkFji31Pc03eg5Ekdi646GiLUaZkXGheEt8inXL7s0 18678
chainercv2/models/pyramidnet.py sha256=Nj2BN6gRq07BZzuuXOwuMUV2OS-B5bmmn44gP7nN_gU 12174
chainercv2/models/pyramidnet_cifar.py sha256=sy-SK481_RD_4pH39m3uie96USKXA8SMHSaCF3SfC_4 24362
chainercv2/models/resattnet.py sha256=fZIUCjgoddd28h_KcRBxQp32kRudy1bHd2DMVv0Ll-o 22305
chainercv2/models/resdropresnet_cifar.py sha256=ASTW9u0Dyj0646qCV-6YJqoRJAjIZO-VZpMD1E-X1R0 10494
chainercv2/models/resnet.py sha256=0PC9MVmg-W686uGJrhs711G6r3JF5hLFUEklHo4pJLY 25972
chainercv2/models/resnet_cifar.py sha256=KHgldagUgobu5DUDBetw0nrY8jPzGD_U_usf7JSmXc8 23636
chainercv2/models/resnet_cifar10.py sha256=5XGkJOm9pn_9lp8Jn9a-N3bxS3ZwmtrLo5HmXGOGRiQ 6918
chainercv2/models/resnet_cub.py sha256=28R-SKXNKYPrZrWQFHDL5sG29qFwZs2hsAnfcYsqO0s 14115
chainercv2/models/resnetd.py sha256=3k-MjJ3wTTShtagxv5gGi6oNcUDPpuM8Q-xgP6I9RsI 10307
chainercv2/models/resnext.py sha256=JKwFnl4QRYyh8eTyVHlBItIy7FbkO37YzKbspuY3l7g 15636
chainercv2/models/resnext_cifar.py sha256=MqWyp-PeGBLnjAX3qBcsXc9Us3fnaQ0X7YeyTjVJw8U 23524
chainercv2/models/resnext_cifar10.py sha256=gUoIXDmwPkvzuBziBzGmyMzhpfY9NgyhFHwWVZ7ua5U 7104
chainercv2/models/rir_cifar.py sha256=OolqaR_8ntS3WSl_rPaKa6g70yLx33v4yjQ23kgpxHg 11282
chainercv2/models/ror_cifar.py sha256=4eQ2z7ETCDvmwp0jSCpGU24k_ZzZarfpVL0beW15V90 17613
chainercv2/models/senet.py sha256=dRJp73iwac1kY7_fmxpE1zc7pSqEr5aG61V8mCLjPM4 14042
chainercv2/models/sepreresnet.py sha256=u1ZGwSiJqbxUmTdg09IZAkj096-T7chEs_5pllmkwJ0 19293
chainercv2/models/sepreresnet_cifar.py sha256=KMQ5Mid0lxfxa9RLaO4wecmeJ8jOT8VlTdOwesNlMhI 24984
chainercv2/models/seresnet.py sha256=1aSr9FEiSEhWlfYcvpXSfB3Ke-HV6AqcItkOsQx-ekI 19047
chainercv2/models/seresnet_cifar.py sha256=B9Zd6yvhbiRD45BJu27tmQ2BeXlsT_peiKctMa99FAw 23954
chainercv2/models/seresnet_cub.py sha256=Ca79Nr5RnG1yjgA3SUUTOhTfaH_sHZ96GsxWFdWJV8U 14138
chainercv2/models/seresnext.py sha256=8GouvATFx0aPS9hFajkkSK87NHpU20yYReKwX50yZXI 9232
chainercv2/models/shakedropresnet_cifar.py sha256=KXTsG9ewjDADSlNZ1BhkYwm62p8sU23eNBPulc1_X5o 11734
chainercv2/models/shakeshakeresnet_cifar.py sha256=s44WAkV7v4UkPmmQ_cNaNtsshHQHXz0gev7ZwWu58n4 15385
chainercv2/models/sharesnet.py sha256=es5rHVRazPxa-07sgk74q3QnBFffAmmyWzikmP5Wc8o 20992
chainercv2/models/shufflenet.py sha256=TBOQEL6JgC4e7Lq0LD4m_UfXUSV7JMKnr3pSHwICFyo 16718
chainercv2/models/shufflenetv2.py sha256=y-LFYUfrSKLGD6RucNC4Ps_OU44qeMWj6kwj5jFSNeg 12720
chainercv2/models/shufflenetv2b.py sha256=wbbsYHa0Q36kQ5xc4h_y6LS9jqMy4Cvp9c1numYItfw 13269
chainercv2/models/sknet.py sha256=Zo4PA5Q7v8DaF27ePEsQHZsJiFptRZ0-fz1XHToHJjg 11768
chainercv2/models/sparsenet.py sha256=TbwIT5bMd9iDe3NPpUhKTU3MaymwDXwBV4gG0C94qf8 12377
chainercv2/models/squeezenet.py sha256=eU8ksrdIB4y6qR0GmDaqeNge6S9u51GikMaNeMll6X4 12671
chainercv2/models/squeezenext.py sha256=1cp5Tsoi3GdwwcSXZSfXswIvesbFpSayhLnfQPMAYy4 13058
chainercv2/models/vgg.py sha256=fzmr64DQwOwRjOKIf-Y3oM7BsdP64n4ZMId-oUZT8v8 14364
chainercv2/models/wrn.py sha256=oenHlI92CU9oR54dV3u7hkB9Nz3Mh8-9VAYRLCl081A 12247
chainercv2/models/wrn1bit_cifar.py sha256=F7R0uASU9x51ptYDWaFMrg4ETu9PMSIRGn7zNOLyCGU 26291
chainercv2/models/wrn_cifar.py sha256=TmNapE_H_RDf3cLIn8z9ki6O9cTqMTNLsHiBS3W2THk 11692
chainercv2/models/wrn_cifar10.py sha256=06uRcEjZ1oECAz5Hfc99alhjnyp-5ab8wCpzO79EGUY 6985
chainercv2/models/xception.py sha256=PbwtWYQwjeGdhPNu2VfmjcOPjPRAGQTBYOdtbIy03Kw 12765
chainercv2/models/xdensenet.py sha256=WunnSPjQewLTLCkKjzDIyILwdlpcF-BQT5eCfrezMEw 17960
chainercv2/models/xdensenet_cifar.py sha256=gwr25qfEhdnb6IP_047WbfOq91o49oflC2RmRvEXW7k 13395
chainercv2/models/zfnet.py sha256=NtFVn3TK3RwmZKRKEmF7-IQ1x-gUAQ0s-P83nvsoXRw 3591
datasets/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
datasets/ade20k_seg_dataset.py sha256=AUTqvSXK9U8un1VjLxXf8ah0ryI9deQAnT2czwld4uI 4058
datasets/cifar100_cls_dataset.py sha256=rgu6GsjovLGUbJm1FwHX9VwMO8RwQLGEi909jj6-jY0 1423
datasets/cifar10_cls_dataset.py sha256=8KmHuU9zHX2R_kmb7MnYcmG-IDfVh464GCYpxW6vIAw 3411
datasets/cityscapes_seg_dataset.py sha256=AaJYO1eB2wWZkwo5L0wEjpjnMqE5c7EQ-PfMEPYxf88 4946
datasets/coco_seg_dataset.py sha256=UtgwdZXMi-xGGBK0tx1b0vfQIJWJAdtz1LqfibhNp_8 5636
datasets/cub200_2011_cls_dataset.py sha256=XHzu9BZqFmxFPzBa7TXx7QI50eE-4jUODtzCCZHBHeo 5413
datasets/dataset_metainfo.py sha256=dqKCvL9yB7LaaTYUPkX2LKObVA8X1arOItBiraIx16w 1860
datasets/imagenet1k_cls_dataset.py sha256=L8Nm8707a9mos4ej616ZfsXv_hxTEP8kp0ddmd5tMy4 5544
datasets/seg_dataset.py sha256=QlQiOtmm2CQSj2e014BUIWVyblgNlflk3msmB_TaIPc 3572
datasets/svhn_cls_dataset.py sha256=DQBBOYWpjGKzGk_3G66QLTcvK6MLIMUZwoSgessMJIg 1637
datasets/voc_seg_dataset.py sha256=XthNWP4cl1Ec-gliBogqhKQH23Yw2FqpcD4R5yaiyWE 6931
metrics/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
metrics/cls_metrics.py sha256=lLUtS3YYbh9a-PAojJKTpCsghgcWX2-FLJzJBX9eKMU 7325
metrics/metric.py sha256=XJ8AA8URxf0iu4NKyrinSSnWHDXhD94kbxBxXGbfQzI 9579
metrics/seg_metrics.py sha256=4omUtNqQMmj4LCp2PK10eGui2Ezauh_YhlW--2Q4xj4 8897
metrics/seg_metrics_np.py sha256=0AbdWwMg7lpSQCEnouRgHQUCs19C9oqK49GdrORla7s 11860
chainercv2-0.0.49.dist-info/LICENSE.txt sha256=Wr0V_EGF_rLAvGs1Fs8X5Rx2R_CTYg-fncwPnsp-CJI 1090
chainercv2-0.0.49.dist-info/METADATA sha256=euMWQEL57BF80t77csoKXnxsdudy4Hpe9waZF6-UyXs 96475
chainercv2-0.0.49.dist-info/WHEEL sha256=53VSps8MltPLN_x9Ib61FU2ZSaJKzgrWQqu9rS-Dkgk 116
chainercv2-0.0.49.dist-info/top_level.txt sha256=LPTSSILc_6RcqFaeWF2MUEwAEl2zkF7On8YWrlzYZcw 28
chainercv2-0.0.49.dist-info/RECORD

top_level.txt

chainercv2
datasets
metrics