deepomatic_oef-0.5.0-py3.7-nspkg.pth,sha256=PuJzfitrgySP0jcchE43nzwVKwORNejIB4GKwGQweKU,559
deepomatic/oef/__init__.py,sha256=_CvQ7YNV9f06vbh7XClPxwD1FMT4g7Cv2DpLWmJVpTA,18
deepomatic/oef/dataoperation.py,sha256=UdJGg1ZulgPjARrXw8YG6SxHwuJ0XuQWU9LTquEQmC8,190
deepomatic/oef/dataset.py,sha256=CVSihttHBPeux3gdOxbFn7cpyKUZ8pbtSJd1FGwRdeM,6265
deepomatic/oef/experiment.py,sha256=6NpKx_286qckPmAvx7bUjbQW6SoUDF-_R76nGlykYlM,1864
deepomatic/oef/losses.py,sha256=22A3R6LuV541_25TGWh477GYNAbFNVoVvy-reU3SarQ,137
deepomatic/oef/model.py,sha256=0u-bd-9SSTwiLHUd7b7ilnGj2vNOUjHKT68IABXDwhc,493
deepomatic/oef/nets.py,sha256=ewBNyjCUhRKuZCqDpXleVvg9bPpR1MxE_6KMmvATCiM,478
deepomatic/oef/optimizer.py,sha256=qOLVdUC5ZYibNsYMuAbKrm7VseGGmJSbQM6OdW_qCRU,143
deepomatic/oef/preprocessor.py,sha256=PHv5lEjf89gRF5xkHW2dgStDh5cjid5K425QJnGICZw,149
deepomatic/oef/configs/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deepomatic/oef/configs/model_args.py,sha256=aG-Rozqr4OGdNWkr1fspqpDO1LchAIqqn6j-Ok8_pWE,1115
deepomatic/oef/configs/model_list.py,sha256=zIrDZQWntV5ay98ZmlVdr6ZUmnIyHGWt_hoY4JOblZs,113056
deepomatic/oef/configs/model_list_generator.py,sha256=aegHmKce8UDSM4_LkrPFEcx-Z8w1wBHG8KGCwBfXD20,7550
deepomatic/oef/configs/model_list_generator_test.py,sha256=oYgM3kUooJ6Dy4ctHtIebFnJ_ddqrCqELVh-9YiUmrQ,864
deepomatic/oef/configs/image/__init__.py,sha256=JACbPFpnwL5YWKG2duDPsyjdpoFKwc1AQniUGDlewBE,209
deepomatic/oef/configs/image/backbones.py,sha256=MB_oqa6xx3kKaAH20hWfe4nr7xkRmOnPeh7fPSvbkB8,6285
deepomatic/oef/configs/image/utils.py,sha256=qtsFlZF73llT5g9PKCIxi8IyAkDMIDgc6DAf3uhL7UY,443
deepomatic/oef/configs/image/classification/__init__.py,sha256=ix64xjO4Mucqosl-9H5ZYUf6K81adkRXi3c5Y0bI-ao,227
deepomatic/oef/configs/image/classification/common.py,sha256=njLWkCRAcIx3i38V8LjmRmFfl_m7K6h4pMUCCLFuj1Q,3097
deepomatic/oef/configs/image/classification/sigmoid.py,sha256=G2TOsXiCYXRyEbKFr4vnoyUEACoXgim7W2CsPxpXc7o,192
deepomatic/oef/configs/image/classification/softmax.py,sha256=zGmZluqPvfmWdnbRb70_E8fH0IHg_YlsvpitYG1CNFU,209
deepomatic/oef/configs/image/detection/__init__.py,sha256=RXm8PCYtvrlXgqmPEzFFLXJjG55q1xZTak6xIefuBQg,252
deepomatic/oef/configs/image/detection/faster_rcnn.py,sha256=kNbnpydgOHDxJpnKulltGn_7g-YVVB4212ttBUNj4T4,2391
deepomatic/oef/configs/image/detection/ssd.py,sha256=dTrQF50xgW6TP4E5EleAEwHxrffMpgfjL-lFLH6XAoY,2677
deepomatic/oef/configs/image/detection/yolo.py,sha256=AYHeUYwwX29yeIAyy2HfNBcQofYjiW_scaK88aJLyYo,1122
deepomatic/oef/configs/image/ocr/__init__.py,sha256=gDwJjRnIFMGalQnKlY2PP9Upce-iSGqq1REMc_9ZIS8,200
deepomatic/oef/configs/image/ocr/attention.py,sha256=gT_6uMcj0t9oBl_0MqdtGh8xsYhmjIurqUn46ni9sF0,645
deepomatic/oef/models/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deepomatic/oef/models/image.py,sha256=djuHz4hnR7qBDvQLGmPrrP0OSt4t5jupg7EqacuKqds,142
deepomatic/oef/protos/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deepomatic/oef/protos/dataoperation_pb2.py,sha256=CZ-x3dSVmLpf9W20PbsUEFtPQtU8P3nACtEnTN9XRuc,4957
deepomatic/oef/protos/dataset_pb2.py,sha256=hyVLzTI3LEGttnzmIihUwiFzVbFEzeg2XqYjN8xrqNs,44110
deepomatic/oef/protos/experiment_pb2.py,sha256=phsmrl7qQq3RjIoBLyPbJoX3FwnB74vD14jKXENkY-c,7261
deepomatic/oef/protos/losses_pb2.py,sha256=4o9rYFti1Snz8EH-o4rjDuOQn9ZHa-Q5SADWTNwil3s,16156
deepomatic/oef/protos/model_pb2.py,sha256=tL2Vh5DwwlrqOLoeKg4bPQIqn2mgeBFem0MXaAFxni0,11671
deepomatic/oef/protos/nets_pb2.py,sha256=9ixuOB4rJAhX615CEwNhE-4EYl73p5Y1g6qK4WT73o0,8203
deepomatic/oef/protos/optimizer_pb2.py,sha256=9E9AQ582hnWBav1jpEMyhpeWGRnnPVImEOkOr0X_y3o,25854
deepomatic/oef/protos/preprocessor_pb2.py,sha256=JO8AAgq7HeA75Dph70LA9RyhOMLfZm-vLiGLA7rWXSM,109214
deepomatic/oef/protos/models/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deepomatic/oef/protos/models/image_pb2.py,sha256=Jdp5KfFHMyv16sk-qecCcy5SMcyngvL-gxVRb7I6Lic,35619
deepomatic/oef/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deepomatic/oef/utils/class_helpers.py,sha256=hDsAQT14kLHBXBubv-y6YmtFDIDTgeLQNe0ZyRYorJg,4680
deepomatic/oef/utils/class_helpers_test.py,sha256=ZEm2aIKu53Qft7W-x7r72sFFe1o1eMplw_Of4Jz3h0M,2135
deepomatic/oef/utils/common.py,sha256=uwyixh8m_U_yD-3sgD7SGuEzs4DXT6ag9x7j8iyDSpI,821
deepomatic/oef/utils/experiment_builder.py,sha256=e91Nt6OS1JbdYYEZgo_UhFEGglrh6UKvo7PNM6gU3Iw,4373
deepomatic/oef/utils/experiment_builder_test.py,sha256=LLBe-7MUTIx8VayPwCoAIyDr5rJLd6ZfL95iQ2PTuOI,965
deepomatic/oef/utils/serializer.py,sha256=NFnjPzCaDLiyyTnNjRlGU3Rc2DLahGmzQiAKh_kjA6A,17716
deepomatic_oef-0.5.0.data/data/LICENSE,sha256=rrf3XhWLAb-mD32WUadsialsoWbr-Ss1OVnYuMpHD7k,1105
deepomatic_oef-0.5.0.data/data/requirements.txt,sha256=zLt51k6XXzACcGIXGCAU_-APtGdmB1-FIPbcVjyKUf8,31
deepomatic_oef-0.5.0.dist-info/LICENSE,sha256=rrf3XhWLAb-mD32WUadsialsoWbr-Ss1OVnYuMpHD7k,1105
deepomatic_oef-0.5.0.dist-info/METADATA,sha256=X6z1LjPwxi9nMAMiJ3_El73aE4Q5e7aYAbcD81W4BzU,2250
deepomatic_oef-0.5.0.dist-info/WHEEL,sha256=kGT74LWyRUZrL4VgLh6_g12IeVl_9u9ZVhadrgXZUEY,110
deepomatic_oef-0.5.0.dist-info/namespace_packages.txt,sha256=HmzEofpPBjBAHEqPEMMkRoD_Qkkk2HPPZfMoBImGpv8,11
deepomatic_oef-0.5.0.dist-info/top_level.txt,sha256=HmzEofpPBjBAHEqPEMMkRoD_Qkkk2HPPZfMoBImGpv8,11
deepomatic_oef-0.5.0.dist-info/RECORD,,
