deepforest/IoU.py,sha256=sEgN_JI_83dO7z_1ustAc0EhAIDoSj2gagmZnA665qc,3681
deepforest/__init__.py,sha256=v09zjNXwVK1kiPl_RY1FkFERtDsxi4Xx8gHCW_mW-_4,345
deepforest/_version.py,sha256=GBkRRkLy2xFOWRAUzcWeLGW_zfxtpw8zpuMMcSsmcsY,39
deepforest/callbacks.py,sha256=DoViKQAUS9GeKfmnezBHSpH8HV-Th6zC-vCIP56HcQw,2730
deepforest/dataset.py,sha256=BrcVRJMhE4I7mh9yzPrN7V0xRc6Cvl78UYTDqmYC2J4,3788
deepforest/evaluate.py,sha256=AzeiHY8TCpiWcclxENiLK7jkGkq5MbiFlwvGCd1MYjA,5213
deepforest/main.py,sha256=-iRiaI8U050s5XuOKQDLxM14UYK5Umbt4COVLQQjqHY,18588
deepforest/model.py,sha256=rU-SplYArJ03-ZYuA2TgSSpVJ19C1QmL6jf9sMGP9Tk,1945
deepforest/predict.py,sha256=C6YjDrd6zLHyqcbfv0l4Py9HgIkdU7_c07ixXrYCFYU,12652
deepforest/preprocess.py,sha256=0Knil5mo7D5GigxVm0j_P_aDJPCpibc0bbP3snQpCbY,10708
deepforest/utilities.py,sha256=NyUhoclN8FX7HtmO3tq_I422otauXNRrtGnzegG1kmE,9999
deepforest/visualize.py,sha256=6_XIzYcD5XR3bHdXL94rMqcbfmDk7aqRQTOnuvjPkts,6368
deepforest/data/2019_YELL_2_528000_4978000_image_crop2.png,sha256=qb2w9ER_3YmdIvVn4OILqDIMVBOyrQzQrI2fO24Pl2c,15333493
deepforest/data/2019_YELL_2_528000_4978000_image_crop2.xml,sha256=vUMa9qUIbXIetzGyL16ijNio6rBog-_BxmU5GsvGjhE,193359
deepforest/data/2019_YELL_2_541000_4977000_image_crop.png,sha256=F45YojzCZCImo2SjD3G9kljdwbASyCbxIlCRSpDHoTE,2889166
deepforest/data/2019_YELL_2_541000_4977000_image_crop.xml,sha256=zv5LloiLrL-K8WdPAACC5UmqcHqmWQ1UXv-yPkPyZjE,93452
deepforest/data/OSBS_029.csv,sha256=g-zR-2M56wmXxaVDMAKV_dbg0jyUP1BCnrgtFJkFrbo,2041
deepforest/data/OSBS_029.png,sha256=2Ud8agDkkCx77kh9TFWCw7i5ovd_OQiilii4FrKR5u4,412520
deepforest/data/OSBS_029.tif,sha256=hSHbtegGPTfWGJWGffzKdHZJHRNFED3Bs_2W9xsYY1M,607832
deepforest/data/OSBS_029.xml,sha256=H2jEAR17NRwpynVQcud_PRbm_R-ZW9BandTrlStVNzw,20526
deepforest/data/SOAP_031.png,sha256=UGrwUSJUZb1XXg48oNoea4omlGTSFEoEFYKdp4_NFSc,354608
deepforest/data/SOAP_061.png,sha256=JWUI8aYhSb7EqAh5B3qGXK9Q6MrOCV5lZMdr76SA1CQ,369701
deepforest/data/SOAP_061.xml,sha256=SDMoCvdf2cR5Zak-OJRSgoNennJcrEEr25Rp1jSAlHw,12556
deepforest/data/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deepforest/data/classes.csv,sha256=yD4P9_gYM2i9zNLz5ouNpTQ7TIjut0nxc47XRe8qUTg,17
deepforest/data/deepforest_config.yml,sha256=lW1HE1GQuOXJCQNGCrP5oAaWm0nWfZJzo5cgYyEbnxU,628
deepforest/data/example.csv,sha256=8_k3gvSb8SaoSwFL1xrunMY1jjbyA6BVnIi8mORnjZw,5025
deepforest/data/testfile_deepforest.csv,sha256=tVVRai22loE9hT3RxpkcbAIbXAnI3Mh-9AfbzCDKV8A,2041
deepforest/data/testfile_multi.csv,sha256=8zTEJLs61ursfvJFuA4DjkAYddGLE7woAgADgHXSFfU,1270
tests/__init__.py,sha256=PBj1nV1tDygDtniBmCjxmgafJ3hWpBpsTJIzi-LY6ac,64
tests/conftest.py,sha256=T6Cz-IidhgUJFuvubSVNMQEsWAB2DZKcu724BjI632U,234
tests/profile_dataset.py,sha256=WojXT0fN0xMG0u3r5TxlN-Y26MJOd57Eokl0jI1qt3w,694
tests/profile_evaluate.py,sha256=pfvggpptVR2ExY0KBWZRaygcQnltJnY9juPfj8g659k,871
tests/profile_predict_file.py,sha256=HlGxZTRF_wBSMsVlnfnqSBI5Y2HCGtaLjbZTpJOMaSk,1265
tests/test_IoU.py,sha256=cLXnVyI1ZZl81a0a2eVSp3CSzhK_OHKtZlox8YREWEg,1234
tests/test_callbacks.py,sha256=rVZ3m3Vk4aYlLK3X0IF86sgqz_spIdt97iePIa9nRKA,1891
tests/test_data.py,sha256=gzvgB850bF3JUMkvlYTmh51ITk8m2XZLYSpK9to6CIg,681
tests/test_dataset.py,sha256=b8QyY-Q0peMHrSoNcPAr0YoC6NZZuVc-K_i2-jc03z8,3398
tests/test_environment.py,sha256=74kWw0-RWvSZlxq1sDq8lCv-39FEAwK8x1eRjhBGg0I,123
tests/test_evaluate.py,sha256=eTAVn1OrsvddARpAqAD6wXKyY7nS7_htWhHzf8PrzC4,2175
tests/test_main.py,sha256=OYChDRI6mIWGp7V7nHI2yyofLJpvWxsY0Cf-gvKXahM,9830
tests/test_model.py,sha256=pHs66VIhUF_OAeOEaLYsP0_sivlq_vwzqFOo3-pfJas,573
tests/test_preprocess.py,sha256=0QckKPdB0S5NLJnba_z7hTeuK6Kyhs058Hpy8eHW6DU,6307
tests/test_utilities.py,sha256=MxNbDbD30mJh5GlXEB9BJpta4PZOcANvypscfngtB0k,1312
tests/test_visualize.py,sha256=Sgmt_Rf538L91FLEoztRTdEFFYKVlKI70M44kLQCLoI,2767
deepforest_pytorch-0.1.35.dist-info/AUTHORS.rst,sha256=Z8Xvm8zfSCTa5cvGAxiWhOr6aoSzwMjROdiIduq3vsk,890
deepforest_pytorch-0.1.35.dist-info/LICENSE,sha256=NzDPKFWuoP2rIrMx7KyLm66zzHDS66oZCuOdrc3tK6g,1072
deepforest_pytorch-0.1.35.dist-info/METADATA,sha256=zc3ho01DFiPseozuMcA2QL9hyqfa3ufadxoppVXl0O4,1766
deepforest_pytorch-0.1.35.dist-info/WHEEL,sha256=OqRkF0eY5GHssMorFjlbTIq072vpHpF60fIQA6lS9xA,92
deepforest_pytorch-0.1.35.dist-info/top_level.txt,sha256=E5MAZHdvLyozVYLi1VublQ76iMI7QwQcj4kH6Nh6DQE,17
deepforest_pytorch-0.1.35.dist-info/RECORD,,
