Wheelodex » Projects » axelerate

axelerate

View on PyPI — Reverse Dependencies (0)

0.7.5 axelerate-0.7.5-py3-none-any.whl

Wheel Details

Project: axelerate
Version: 0.7.5
Filename: axelerate-0.7.5-py3-none-any.whl
Download: [link]
Size: 86554
MD5: 1c053d418017a14f86be504e297ae77c
SHA256: d409ccb8ae8184175a486e553281d10539aedc49bc0b41c7e119894a2a9d29ff
Uploaded: 2021-12-14 15:49:42 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: axelerate
Version: 0.7.5
Summary: Keras-based framework for AI on the Edge
Author: Dmitry Maslov
Author-Email: dmitrywat[at]gmail.com
Home-Page: https://github.com/AIWintermuteAI
Requires-Dist: tensorflow (>=2.3.0)
Requires-Dist: imgaug (==0.4)
Requires-Dist: opencv-python (~=4.5)
Requires-Dist: matplotlib (~=3.4)
Requires-Dist: sklearn
Requires-Dist: tqdm
Requires-Dist: pascal-voc-writer
Requires-Dist: tf2onnx
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 5714 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
axelerate/__init__.py sha256=lj_2nPTKlMKFnAJY5uSi68eZCv9pGylVwnLMSU08uGI 108
axelerate/evaluate.py sha256=2X131YAyTOOQ7_UIm6Rx98PTlCvpg2d5ii-axQX0VMU 7151
axelerate/infer.py sha256=7wQujn1os80vVCAHqKTrDTaGFJvbi4gms6bl1V9diOg 8532
axelerate/train.py sha256=QHVzr0Hs00amo4afIjYVWOiLmuYo8yvoAlDPM-OwdRU 8035
axelerate/networks/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
axelerate/networks/classifier/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
axelerate/networks/classifier/batch_gen.py sha256=g2kg1Rj3S_rLUpARP9ZP4n-uuo-6g220zLu_0slrKyk 9321
axelerate/networks/classifier/directory_iterator.py sha256=TeMTY9pZjY4P-DpKtO_wzuSINki6WZz6Y-WJylDSubg 6929
axelerate/networks/classifier/frontend_classifier.py sha256=BEyMM_NikkMAHCufnoQyqWC--PpMZGieOhG6NEgoYCI 5348
axelerate/networks/classifier/iterator.py sha256=KEh7-lbju5gVR4lUfltU9DGVn95WrE4e6b27MXYiaws 12776
axelerate/networks/classifier/utils.py sha256=8qr4fjppNQh2HGxNBW_J5qCjH0ZxY7hXexYuMMV4vQc 10238
axelerate/networks/common_utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
axelerate/networks/common_utils/augment.py sha256=t-AT6pfYxuHTG-0d_7FW9mg7B2Cq4OaZ28LVzsu79vM 10985
axelerate/networks/common_utils/callbacks.py sha256=ZGMHDQZWzTZow-X7BZ5aOT_Lw2CJ-iw6Sgc2vlO8tBI 5233
axelerate/networks/common_utils/convert.py sha256=WA6a2ZxPjBmm1sbC96kaqshCeW4iwYt6Dy75NY6Bj14 10993
axelerate/networks/common_utils/feature.py sha256=wt9vlgkIWXZXitxSQZEf_5JcZrdyi7pcpTfSM6w6MBs 17213
axelerate/networks/common_utils/fit.py sha256=ySlpXfd2A3-ecJLbbJPTo_vQYZSOMVlG4_Vl0QS9bDE 5726
axelerate/networks/common_utils/mobilenet_sipeed/__init__.py sha256=P2zNuTxsWSyM7YC3jaD_8ZCONa2_Ao9vxU79Ad55cRw 3143
axelerate/networks/common_utils/mobilenet_sipeed/imagenet_utils.py sha256=pJakIDTBuqtyZ2FJq159dZg-k2KbRTR8WEezhrtj06Q 12633
axelerate/networks/common_utils/mobilenet_sipeed/mobilenet.py sha256=X7rRBW7bFuj2XF63D-uoFGH7qfG-bBtkQvAdlDDU9yI 20406
axelerate/networks/segnet/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
axelerate/networks/segnet/frontend_segnet.py sha256=igfXC5FkUlAVeVADnq3FhNLfDgY6u3c03DJOwZd_hQA 5940
axelerate/networks/segnet/metrics.py sha256=B-PN8PoGCZIgvbkUQhkRZvnil_65umduAJ5GhRaRH_o 345
axelerate/networks/segnet/predict.py sha256=ywdVV5kd5NVhOS0PJiaK3Q6HZ_dW_LWtS-UJ7EDw3xU 7937
axelerate/networks/segnet/train.py sha256=Yq5tsw-wqZD51_XEXfAXrbt2AEJ7LAkseOFUEAFRyuU 5699
axelerate/networks/segnet/data_utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
axelerate/networks/segnet/data_utils/data_loader.py sha256=JTmdIlDuS9iCt2AHJnA5cJ1XaB5dL1YamAyCMDCFlVY 7967
axelerate/networks/segnet/models/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
axelerate/networks/segnet/models/_pspnet_2.py sha256=ax39HUcCPafhlwwPJ59uFDeAe2WsH2f-GQTtHzYhxg8 9999
axelerate/networks/segnet/models/all_models.py sha256=nSj1oWui63gsl25isJW_ceDBuDQ2QnRDeTqHshJMYgk 1382
axelerate/networks/segnet/models/basic_models.py sha256=eO1k5ozZ4iP1GlnNe4DqNsPBU5M8Iu-HU2EC-VG-y-0 1598
axelerate/networks/segnet/models/config.py sha256=2Cyh19hD9a7bTGeYCtoH4AyiuV2VJym_WmqRwjuQmbk 183
axelerate/networks/segnet/models/fcn.py sha256=SWg0Bl_bec6nVVARkTZM_LqHzlHQTeo5k_UXoyrkj38 5364
axelerate/networks/segnet/models/model.py sha256=2tpC3VqBE-NBH-v8hHhG4sETsyxKEd4sbG4Q5IZVTlw 147
axelerate/networks/segnet/models/model_utils.py sha256=U3NLsJOlsaDaZS4Wa5wKxb2ZHs6Rq3ABuYTp_5B3jiU 3144
axelerate/networks/segnet/models/pspnet.py sha256=LLf_O-cf5fC0G98lS9xIpfAX60w_FYbis6kVAVmZHfc 4118
axelerate/networks/segnet/models/segnet.py sha256=uFlAx748SQCGNwwQ8S7yeKT_I3VOiqaIXwOEZ2LOh5c 5596
axelerate/networks/segnet/models/unet.py sha256=c462QcfqcyIflIBhuUhdRpILoPtk56yUN6J9h-bAPqc 5379
axelerate/networks/yolo/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
axelerate/networks/yolo/frontend.py sha256=3hghUYclmo1Otem-zaOJ2s2n-_549utcar1GzI1OkFs 7937
axelerate/networks/yolo/backend/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
axelerate/networks/yolo/backend/batch_gen.py sha256=S_LLIovUW4_nT6T2PWbj-uACzxzDQXOtkU_gVLNKrew 8858
axelerate/networks/yolo/backend/decoder.py sha256=xJqquKuwZXZOO6EZW4w0Ah2MKjy3A87TpxPuioRb5fk 2232
axelerate/networks/yolo/backend/loss.py sha256=4md4cGE389aeMVUzLb5s-Enoh6GL18PpSlMAv516uCk 10752
axelerate/networks/yolo/backend/network.py sha256=q-oT1VidVKblgB_uo37bEk6ptxagFYO6p5p9-zFTfuU 4403
axelerate/networks/yolo/backend/utils/__init__.py sha256=x_KN99hzcYdnnPL4GEFL9lYb-Q9DXYvkXgcU_Oc-OgE 173
axelerate/networks/yolo/backend/utils/annotation.py sha256=ssbWYmYhZ8he0xe_CT7yXzGH2kY-WieX2UWgBTTyRkQ 8208
axelerate/networks/yolo/backend/utils/box.py sha256=ZjFtuXJasv1Gq33dD-YQcVOuk9xFkoP35xzhjgOjQgs 6802
axelerate/networks/yolo/backend/utils/custom.py sha256=oCY3qguiZQbQUE0WqSblhpu6zpRW9vaRUFV-ZQrAm0g 6004
axelerate/networks/yolo/backend/utils/eval/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
axelerate/networks/yolo/backend/utils/eval/_box_match.py sha256=gkexfVUWq1hWRUpmC-yvD3uAmHgzHlXMsatT_rJi7EA 4987
axelerate/networks/yolo/backend/utils/eval/fscore.py sha256=U2OSfD4_BlYoPYxohiN9ch1GdFo1WN1L4M65-IPL2Ic 1516
axelerate-0.7.5.dist-info/LICENSE sha256=l2vw09zT_G5S1WfW8ljV4Wa7aFKQuhCPGfcn_INuBGI 1070
axelerate-0.7.5.dist-info/METADATA sha256=7CDZ8e9FoHdIaiK7Nb4-c9HE7uHH5VFyK7p4AzmtiIU 6255
axelerate-0.7.5.dist-info/WHEEL sha256=ewwEueio1C2XeHTvT17n8dZUJgOvyCWCt0WVNLClP9o 92
axelerate-0.7.5.dist-info/top_level.txt sha256=QI4E0J2FEkq0rUtA70chFzNCuW9Sbz95XQzPgqME-0o 10
axelerate-0.7.5.dist-info/RECORD — —

top_level.txt

axelerate