deepforest/__init__.py,sha256=mcgKEOmb--AsLveVVSI5QZAJLdHWT3EnpAVoTX-6OBc,302
deepforest/deepforest.py,sha256=_dar1YVbpIqGQ04zRopzwzCNbYUdehfVdc2ItR_GwRY,16923
deepforest/predict.py,sha256=29iCwrpO5a17JXTqgXgsjHraX9dMkWIppwDavwMi9_4,4038
deepforest/preprocess.py,sha256=7br3f-Nkc050DV6CTpvCF2paWDBiH5f0BRMitvuZT5s,7437
deepforest/retinanet_train.py,sha256=TPpRTf9a336IoZLBitjNyATOyW_m0oIygQdP58NUW3g,19980
deepforest/tfrecords.py,sha256=R6y_FGPPdOf5-wuavQIk_eVC4FMGorB5HPOnka-YkbI,12176
deepforest/utilities.py,sha256=5I6kmR--rKzTCPmVaSF5dXOHruUM1ss62t-ttgsLnac,11105
deepforest/data/2019_YELL_2_528000_4978000_image_crop2.tiff,sha256=yYYf84r949DrDWmRUpAdh1KmdytlU_dq1T0kuqdBGRY,6252394
deepforest/data/2019_YELL_2_528000_4978000_image_crop2.xml,sha256=4W8nZ4-vptgNd13NAE_r1nLrI9GJ50lFz-8Od1t1spo,200831
deepforest/data/2019_YELL_2_541000_4977000_image_crop.tiff,sha256=GDqfn9wPkjxnIzh-uNGzKRn77p_ujriT5sgXZhozZbs,908678
deepforest/data/2019_YELL_2_541000_4977000_image_crop.xml,sha256=hFXLX3tuGkaepzEPmNl4zmEtcvIY-FSaJWRsjRb30pE,97089
deepforest/data/OSBS_029.jpg,sha256=Y9zOhx6tmTC7IUvQXf-g5gpLsC6c3BEoO6o49OL85YE,380519
deepforest/data/OSBS_029.tif,sha256=hSHbtegGPTfWGJWGffzKdHZJHRNFED3Bs_2W9xsYY1M,607832
deepforest/data/OSBS_029.xml,sha256=vsvXwxpcsxvgk5J3ZdWdIETO5BxGunNF0qJnjEocDxs,21328
deepforest/data/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deepforest/data/classes.csv,sha256=ZeoCwz0by-jHfuk-zD8ZpKXd5aUI5A2RBSaej2DTEZ0,8
deepforest/data/deepforest_config.yml,sha256=StJJl3geUbVtH8qWsObFVKo0WRSngoSU1LInCAIeLyk,1485
deepforest/data/testfile_deepforest.csv,sha256=dJSK7YoU17o_zTzMn9ddGc750ms94xMt87KA3H61qVo,2065
keras_retinanet/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
keras_retinanet/initializers.py,sha256=mHbHZBakVsmUJSVPwLwdtXiob4qycRpqcdeEAjpezVU,1180
keras_retinanet/losses.py,sha256=6gvMpegaqaxwXpnpLCw3XyAL2B2RytfjAk6qLDDlvHQ,4751
keras_retinanet/backend/__init__.py,sha256=croKjvwtzb7AbNdbxrV-sixAGhvFUt1GeJMrZwuGJFk,86
keras_retinanet/backend/cntk_backend.py,sha256=hqwWpn2jMp7c6hRP2npebqoH2cY8O0F3TttkTPUEu1Y,594
keras_retinanet/backend/common.py,sha256=Zr6_JG-z6IMHUvQ1PO-cfoiX97cNcNpsmsOGKKj6TJs,3719
keras_retinanet/backend/dynamic.py,sha256=eQ8VXKhjajjYnKu3gaBxC4wbixCVleKV8F57BfEVTDA,582
keras_retinanet/backend/tensorflow_backend.py,sha256=piqF6olYGhHyPT9Hls00dUz0STRaVpt0S433gvEQLJ4,3430
keras_retinanet/backend/theano_backend.py,sha256=hqwWpn2jMp7c6hRP2npebqoH2cY8O0F3TttkTPUEu1Y,594
keras_retinanet/bin/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
keras_retinanet/bin/convert_model.py,sha256=o3Y5vuUsOcmt86XNLNxl7hmxG2iMBLyCNYI5NInzfTc,2877
keras_retinanet/bin/debug.py,sha256=VLfTF0UL5O2uy9slVR6Gygi9xk8loFcS7jow4UaAE7A,13512
keras_retinanet/bin/evaluate.py,sha256=twtE6p9T457Uyj985QvhEV8xQK0VcgzY9A2hCEaJ-qM,7489
keras_retinanet/bin/train.py,sha256=w9dtvOM44MATVQ5y7A3ZABn1lSp0yGoNQNzUNpFt3uw,22013
keras_retinanet/callbacks/__init__.py,sha256=RW7onssDMoj_eolompEpNQEygOD5LMuXX3oj_lGfW9w,42
keras_retinanet/callbacks/coco.py,sha256=ml1ctvrf76LifEqQ43MsfilRw0C7zOGF86d2B9LfphQ,3031
keras_retinanet/callbacks/common.py,sha256=TchrniXmK_HLRAIzYz1wh57Xjtn6Q6VW831MQLuGDvo,1473
keras_retinanet/callbacks/eval.py,sha256=eZUgiaKXtr51FRJ6ciO8qSgFP9_zu8cno2AhVfGeG3A,4178
keras_retinanet/layers/__init__.py,sha256=dvurBSO07nNaERVm2d88jzQHlIqRQu5jqDWUs80kudM,144
keras_retinanet/layers/_misc.py,sha256=5yQ04S_1bA3WixlZvxw9iB5al3eu5UfgYPYr2fTHIvM,7002
keras_retinanet/layers/filter_detections.py,sha256=NmrLOjzuA9wXaCGpB6j4wWipVHlug6h08HKnver8JmY,9719
keras_retinanet/models/__init__.py,sha256=-lcjw4GeIJiBtwEfvuQ6_ZEX6nFjVS9rXMOfK4AWHlk,4529
keras_retinanet/models/densenet.py,sha256=FnNn9hVO1gaL0xBFouY8tquf7eEKFHDr7AUidz7ptF4,4302
keras_retinanet/models/mobilenet.py,sha256=jyDxHoVsVErS1F3T33kc8vW6zWDFCTMMLL0uiebIiEU,4398
keras_retinanet/models/resnet.py,sha256=-E3BV8fU7_KawgLTXphZ8mOMROocq1GFqcp6FqblBmg,4844
keras_retinanet/models/retinanet.py,sha256=PUDaV0CxR7RxUc_xBs14Hu3-rxddDaQ8s89Qdjo-oYE,14290
keras_retinanet/models/vgg.py,sha256=yKzD9S0FFuZHk1J1ZBFZL8Mx14jACrH_5HBbYPcCWQ4,3878
keras_retinanet/preprocessing/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
keras_retinanet/preprocessing/coco.py,sha256=JObLsgtaXft4uW6NDpjOHxXLy_K-csNFAj7xUSqUYFY,5624
keras_retinanet/preprocessing/csv_generator.py,sha256=gSyAvFx8ZnzTFz3fe_f96ValrlSpWvcN_jegjprcdmA,7859
keras_retinanet/preprocessing/generator.py,sha256=AK-xJoptDmbtZAe5FWX9YYaIbOj-VF9qj73jJ8lfg_8,15245
keras_retinanet/preprocessing/kitti.py,sha256=3y-eFb6dqlwHpkRJDY6jpnJHYDc8J3k2LenCr5K2q3M,5824
keras_retinanet/preprocessing/open_images.py,sha256=r_LGsWVmsLoVs9Zjv1j8Ceev4cbKZQlLqfb0HcGY9Zw,14425
keras_retinanet/preprocessing/pascal_voc.py,sha256=7ojzFY4ZiIODZk8Y4tGUaSB49YrG_fggBEanGvDO0tY,6870
keras_retinanet/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
keras_retinanet/utils/anchors.py,sha256=3EdLAeBR_BqmURS9VyO7AI1YF1-O_J9K-TCycIgtpLI,13000
keras_retinanet/utils/coco_eval.py,sha256=7PumH1N007WClXmE0vcLV4xitgxI36z9b2Mky3coGSg,3310
keras_retinanet/utils/colors.py,sha256=mKzP0ivEPJ4p__OO2K0lL702t4W8lQKAFA39uGAyf1M,2768
keras_retinanet/utils/compute_overlap.cp38-win32.pyd,sha256=MHKG041FAO_Yvfs3FtaPPpCkDpvucd65tDuTcNzcCnc,38400
keras_retinanet/utils/compute_overlap.pyx,sha256=fASHPCY4wTPUOM7d9AK9v_eHKXpi7NubX1PzMaU6LGg,1730
keras_retinanet/utils/config.py,sha256=WeEgnkc-exB41ylwW3969uZaMV528FavmZSfMZZ8cvA,1772
keras_retinanet/utils/eval.py,sha256=4sX8Vvhlw0gbpXqAT8E6ugnSkjjf3HjlzLCz9Q0MNSQ,10393
keras_retinanet/utils/gpu.py,sha256=ymTxyl0Ro2qf7dUsWkx1WNj5WG2klVLklLNxLLB_7vk,2004
keras_retinanet/utils/image.py,sha256=j0zVIf_bllkje_6RkvdAaH9BdzFFZeqOhTjXb47Kc_0,12052
keras_retinanet/utils/keras_version.py,sha256=7Bba5mSDcVuVSl2hd29F_4hv-lwGO6HO7hM1zQ1GPN4,1672
keras_retinanet/utils/model.py,sha256=tPRGvMbyfA2ifQxsshmB3ud1wRkFoVyQ61ISeNx2s5c,981
keras_retinanet/utils/tf_version.py,sha256=kDQKRV5j5mGoGEpnIgIFgoEwNY4he4vDjGrj7OZQIbY,1754
keras_retinanet/utils/transform.py,sha256=hJfpiBriLL8VGfFKD7o6FiVZTPh10eN_MQGSJbCkB0Y,10726
keras_retinanet/utils/visualization.py,sha256=WmYGAHOYYIO6I9MQOV4VhuytuIcvqvpQ9BlNecbLJRM,4338
tests/__init__.py,sha256=ABBubpuHKKvAmN525nkjK4dQNDgaDSzjRdfZ27jZRHE,68
tests/test_data.py,sha256=nUYyTIsqPepZxAnYm-ZKItVDmddl0R3WmSGPg4rbXeQ,390
tests/test_deepforest.py,sha256=vlHd0eYkmr5SEJUqcIoGtMOhyxRxqrbv5adX6bkf45I,6518
tests/test_keras_retinanet.py,sha256=6dS_LUbjwkjyuaBGdq13lSTyTDin3VQZ5W13ExYnXf4,261
tests/test_preprocess.py,sha256=S3dV3D9Kg99yVEDnjK1qUnkazV2wzQLx1zMpSxo103c,3431
tests/test_tfrecords.py,sha256=PnG-_ZAfFPEvIerxFJUZJflkPl6doBWCXFoN5OgIStE,5780
tests/test_utilities.py,sha256=8MvTiqS6Gn2ic459_LVsUQUkrIL5j1BIbv7EMxzUGZg,1856
deepforest-0.2.7.dist-info/AUTHORS.rst,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deepforest-0.2.7.dist-info/LICENSE,sha256=7sj6QFe1c_KCqhgPypet3dHYs0t0vXvkq8MA5ybXS-Y,1094
deepforest-0.2.7.dist-info/METADATA,sha256=1v726azjThxBJi82voSiiawmh0Zn02iYPOU2a3Xvb-s,1830
deepforest-0.2.7.dist-info/WHEEL,sha256=jovIjvNuo6l5lHtTPdXyjKVQ_5SCkmdptE5fkPNfjyM,101
deepforest-0.2.7.dist-info/top_level.txt,sha256=7vLPdfqlNxISjjSynG0NZhYeIjguU4wgZIRb3cltipw,33
deepforest-0.2.7.dist-info/RECORD,,
