gkeras-retinanet
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| 0.5.0 | gkeras_retinanet-0.5.0-cp37-cp37m-win_amd64.whl |
Wheel Details
| Project: | gkeras-retinanet |
| Version: | 0.5.0 |
| Filename: | gkeras_retinanet-0.5.0-cp37-cp37m-win_amd64.whl |
| Download: | [link] |
| Size: | 137211 |
| MD5: | 2acc40b1642a89edcd7b03a12dcf2e77 |
| SHA256: | 9a6d28d8aad4a121e1afdbf67d317789b164379d7a7d0320e27df16c652e24fe |
| Uploaded: | 2020-01-09 09:27:32 +0000 |
dist-info
METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt
METADATA
WHEEL
| Wheel-Version: | 1.0 |
| Generator: | bdist_wheel (0.33.6) |
| Root-Is-Purelib: | false |
| Tag: | cp37-cp37m-win_amd64 |
RECORD
| Path | Digest | Size |
|---|---|---|
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| keras_retinanet/backend/__init__.py | sha256=ks_gYDjD1LI9EE-Mj9aE15TvXvJbvXuJRB0zJZDhIXg | 84 |
| keras_retinanet/backend/cntk_backend.py | sha256=mPZyor8TNoCjTbJYZM4q-0DClCUE1_giAF7-eEnsErw | 579 |
| keras_retinanet/backend/common.py | sha256=9VQV0s_sdWzQx1T5yEU6eiH0whqhw4867mXV_U59fPU | 4139 |
| keras_retinanet/backend/dynamic.py | sha256=bZNzbOsolzSfex1R-iJJFJAO4nmoUzPbhrXvvyTar8k | 557 |
| keras_retinanet/backend/tensorflow_backend.py | sha256=ORM0QY-XhTYndoBZ24BRkwjguScx5iJz8DoOrP1nWuM | 3348 |
| keras_retinanet/backend/theano_backend.py | sha256=mPZyor8TNoCjTbJYZM4q-0DClCUE1_giAF7-eEnsErw | 579 |
| keras_retinanet/bin/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
| keras_retinanet/bin/convert_model.py | sha256=5hYYD48yfpM1K_vfFBXmy6ptO-w7O-vTI9rXxgnvhqw | 3027 |
| keras_retinanet/bin/debug.py | sha256=F0QX96mGtoCAvgsTKXYYv1Vf8lXb5eTB0gHfBhzi4kA | 10741 |
| keras_retinanet/bin/evaluate.py | sha256=V8MVM43Kkyv35o48BIlVMieJCbBHtFINjhg8UOYoEv4 | 7674 |
| keras_retinanet/bin/train.py | sha256=KiBp1KJKxCHecQ0Xni1ZqVgO3XVx7JhGS12DPfJ_rCs | 24112 |
| keras_retinanet/callbacks/__init__.py | sha256=6XR9Z0Iyy24ZciXFgg88ICtD2UeZT9HQZrY1ArUeX3U | 41 |
| keras_retinanet/callbacks/coco.py | sha256=kWb2bnMlSbTYbXCukhaFjVs0E2rIrlo6kRk0IzjBvEk | 2812 |
| keras_retinanet/callbacks/common.py | sha256=j4Dw3tVdBdDwCLJ4hq_p6yuK_GrLVDwglIP1X_aXmhA | 1427 |
| keras_retinanet/callbacks/eval.py | sha256=FLTbogyhXl9jH8tneoKzMHFuIqNR3ZNe-ZpqIS191YU | 3843 |
| keras_retinanet/layers/__init__.py | sha256=_mWz9MsPagwYUiKFAGwHMGuqyKkuLPwA6zYi7aDIRSs | 142 |
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| keras_retinanet/layers/filter_detections.py | sha256=ZijZWP0pvOdyiejutgRxArxS1hZJcPvbIuH01YxG9WM | 9498 |
| keras_retinanet/models/__init__.py | sha256=YY_0WGjJyhUlLRnTscVMhR1AdtHmRZGYtXL9GzXiwlw | 4766 |
| keras_retinanet/models/densenet.py | sha256=tPyiUV4XQ2rjcTNuVvbD46LKnI3r5p9FNRhKXnbXhuQ | 4197 |
| keras_retinanet/models/mobilenet.py | sha256=hiCLKBlhXqdWAcshXGjDgQcJfwAPV7r-48Gb0EfH5C0 | 4602 |
| keras_retinanet/models/resnet.py | sha256=Vm3bneB-cvplvuXJpFtQcwO1JFsd29o7NvxlY7m_Yls | 6556 |
| keras_retinanet/models/resnet18Tiny.py | sha256=lJQKWp3bOE2r2GUYCHNC-CdwoTo_a3aFD67hxTkTcIU | 3685 |
| keras_retinanet/models/resnet18TinyModels.py | sha256=stlBNAGI6JnmmgEtsyqvgCEHVqX3J9YZQcF2ZeJ32Kk | 7570 |
| keras_retinanet/models/retinanet.py | sha256=WbZD25QBMS1Pm6hUuYu9IleQ_i_-DAy8MP0iOKlQ3S0 | 14369 |
| keras_retinanet/models/vgg.py | sha256=c7uf4e_TsBmqM-hHHXnL3J9Cn3bQEY8WjVrWWirkITk | 4077 |
| keras_retinanet/models/vgg11.py | sha256=rb_VIFnUohKFuZrp_JGWowHVkgi9n7PRKLekw8O_Xko | 3388 |
| keras_retinanet/models/vgg11Model.py | sha256=LdtS-yEA6Fbrkzdw-WdHXVOJU2Zerp32Q4s2Zm00AGw | 6163 |
| keras_retinanet/models/vgg11Tiny.py | sha256=gpKT0eLggKcqthQ8kZB5BaTkdADiiuZjcB72WVSD01k | 3477 |
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| keras_retinanet/models/vgg13.py | sha256=6ncaMTipm_ZUIo4U3hvTWnx3SraGeg6JtKkWRwVs0fs | 3301 |
| keras_retinanet/models/vgg13Model.py | sha256=t1s4aGCpVRj39Txh_7i7ybOrq9Z9Vm7JC2aCNrjmbM8 | 6488 |
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| keras_retinanet/preprocessing/coco.py | sha256=V-xgCVB-ATLwHD5N10zsb6eYTYWlJ8MH56JpGcOdE_0 | 5288 |
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| keras_retinanet/preprocessing/kitti.py | sha256=l4Hx9lMVwp7JIV5LIsNDlch8wh4u3Rehjk52XJQVozM | 5661 |
| keras_retinanet/preprocessing/open_images.py | sha256=mxiV-UaAMKF-io4MOvbLJeHG7pVMi04ok-TwEOEsfzY | 14050 |
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| keras_retinanet/utils/Tee.py | sha256=_oU9eM7mHD9i12nmqJ0Liqyr2wcdIXhXlznCpoa6bjk | 326 |
| keras_retinanet/utils/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
| keras_retinanet/utils/anchors.py | sha256=9ZgzkcFz1zT5gpJL5ygnwFj89HDuwc-4TLToM0klrTE | 13744 |
| keras_retinanet/utils/coco_eval.py | sha256=C9KORtCGaY7rKZmhCBdgQkqEvJ7aBW1QWlCf-qPFAoM | 3217 |
| keras_retinanet/utils/colors.py | sha256=uYvj8MR9S5_KghTOWoJMpntFWL1bDrPBBS0kMQdQSG8 | 2656 |
| keras_retinanet/utils/compute_overlap.cp37-win_amd64.pyd | sha256=l6ThQ-1FqMEEMahHFvlSQZb3y1ScMeDSvf0wpYZh65w | 46592 |
| keras_retinanet/utils/config.py | sha256=hx9AJoRWM6oFnBLt-m94kOaAvEboCgjhbbT68JiYJ4c | 1725 |
| keras_retinanet/utils/eval.py | sha256=HUj2mCNZpO1ctsVaYT1cmjRlkEVglnZnPby9sJiphf8 | 9715 |
| keras_retinanet/utils/image.py | sha256=C9dPV4OG6YzFzJzXqNw47ZM4JaTvtiuoNIYMIjq73-c | 11414 |
| keras_retinanet/utils/keras_version.py | sha256=h5qxGchZlnOYTYReUmy4wDlCKx-cWc387vuoldXGNRk | 1617 |
| keras_retinanet/utils/model.py | sha256=QcubDf3R2flhRPqB6Sz5hRD3-8McDnP-dIXqYTnvIKM | 953 |
| keras_retinanet/utils/timing.py | sha256=og0Xex59arXBlSEKGnXOxRDEPXzAvwEpmBDzmBVc5q0 | 602 |
| keras_retinanet/utils/transform.py | sha256=KmlsGMeMsND6CtQq-5SiiXgHzxI_rDUi78LEXY4ZhFQ | 10437 |
| keras_retinanet/utils/visualization.py | sha256=USel-bmXb6PKa0jb_rd-kyIHEPYH_VstOEi4YkuZSus | 4223 |
| tests/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
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| tests/utils/test_transform.py | sha256=0ZtunrVo9E739euA4xlT24rgh5S8RNRburTMn6gqtqM | 5871 |
| gkeras_retinanet-0.5.0.dist-info/LICENSE | sha256=tAkwu8-AdEyGxGoSvJ2gVmQdcicWw3j1ZZueVV74M-E | 11357 |
| gkeras_retinanet-0.5.0.dist-info/METADATA | sha256=pAex89UttwjLY4L0sbZi8lmGPumGVxCXKsIDb4y6ITo | 523 |
| gkeras_retinanet-0.5.0.dist-info/WHEEL | sha256=uaZe_9gV-4T_d4AskuIQkCgcY8wMc0UXsVFnf0_mBGs | 106 |
| gkeras_retinanet-0.5.0.dist-info/entry_points.txt | sha256=DCIrmMf3mMJLPTfMp1Attkq5fyQlkx4Of9WeYT62ca8 | 237 |
| gkeras_retinanet-0.5.0.dist-info/top_level.txt | sha256=lfiSnmHSPGu3_wgz9tt7x7kVmyi2A2ICGlC2XL6paoE | 22 |
| gkeras_retinanet-0.5.0.dist-info/RECORD | — | — |
top_level.txt
keras_retinanet
tests
entry_points.txt
retinanet-convert-model = keras_retinanet.bin.convert_model:main
retinanet-debug = keras_retinanet.bin.debug:main
retinanet-evaluate = keras_retinanet.bin.evaluate:main
retinanet-train = keras_retinanet.bin.train:main