Add files using upload-large-folder tool
Browse files- train/character5_f/depth/00061.npy +3 -0
- train/character5_f/depth/00122.npy +3 -0
- train/character5_f/depth/00221.npy +3 -0
- train/character5_f/depth/00230.npy +3 -0
- train/character5_f/depth/00294.npy +3 -0
- train/character5_f/depth/00351.npy +3 -0
- train/character5_f/depth/00362.npy +3 -0
- train/character5_f/depth/00641.npy +3 -0
- train/character5_f/depth/00687.npy +3 -0
- train/character5_f/depth/00691.npy +3 -0
- train/character5_f/depth/00715.npy +3 -0
- train/character5_f/depth/00729.npy +3 -0
- train/character5_f/depth/00748.npy +3 -0
- train/character5_f/depth/00901.npy +3 -0
- train/character5_f/depth/01078.npy +3 -0
- train/character5_f/depth/01269.npy +3 -0
- train/character5_f/depth/01352.npy +3 -0
- train/character5_f/depth/01458.npy +3 -0
- train/character5_f/depth/01555.npy +3 -0
- train/character5_f/depth/01599.npy +3 -0
train/character5_f/depth/00061.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:e67cbab6998e6b8ba1fb24714a5860c4d3b05303259973b2051a362bd6481549
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train/character5_f/depth/00122.npy
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oid sha256:eee61b1d0cf33125759185b8953d22c4e8959de4838a5033f395ffdde120ed88
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train/character5_f/depth/00221.npy
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oid sha256:9e7d98281e14ca7490164f1917c5a57f2a2017e9087bfdd4de6a46eb135c028d
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train/character5_f/depth/00230.npy
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oid sha256:db14b92c59fa323e7337728cd0d57758b65d9eb23d6216f107988382b2ea0cd8
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train/character5_f/depth/00294.npy
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oid sha256:46c4eb97763388b2c765139716e986f2b414054640a5b58f5f72f6d36e256859
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train/character5_f/depth/00351.npy
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oid sha256:4bb606ba06505304c5e86456119f633cac9b2f170f861f02327774516af6290d
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train/character5_f/depth/00362.npy
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train/character5_f/depth/00641.npy
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oid sha256:0305435c3f9fdf2c992b7d79f7d060437006fea33c6f5f62009e12e55ec625ee
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train/character5_f/depth/00687.npy
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oid sha256:bf08decafe70d06f8e6c700bcb91065864db70971a9d6e329f1a6e953fdf8df3
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train/character5_f/depth/00691.npy
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oid sha256:80e3745508bb3c12be5f6fe8545d71433c6c163615da503411d85f401b87d8f6
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train/character5_f/depth/00715.npy
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oid sha256:88972dc04d197f4d715df5ff60d5610482621cbad791d1c6197b526551bb7eec
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train/character5_f/depth/00729.npy
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oid sha256:d3d938726213da2ac256e224dd4375903881956218c73cccf950e6801ecd51aa
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train/character5_f/depth/00748.npy
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oid sha256:f8f9395f68b50ca4a8c18b21394f74e3d886506b7de2189779fc1676c324924b
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train/character5_f/depth/00901.npy
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oid sha256:950b19c0e9a050d94af5972a38515899579fdf6065d10ed8a1eaeea3af1f9824
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train/character5_f/depth/01078.npy
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train/character5_f/depth/01269.npy
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oid sha256:e50162c0f1100e619fc442db7bb160c4c42613851332382a941244be7c411bea
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train/character5_f/depth/01352.npy
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oid sha256:fa11f11477e5ead0597f40eafbe4ff782522e7194cca0e17496aa9f27f27d7d2
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train/character5_f/depth/01458.npy
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oid sha256:900a68634bba61062f7ed2bbe901e058b728154a84708a1941a8a77b114a460c
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train/character5_f/depth/01555.npy
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oid sha256:1416dc6fbd0502d3344602cfc52d4d3e1b21a9ded882d33431a1e28b34e83b19
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train/character5_f/depth/01599.npy
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oid sha256:bcfb08aac5eb5d882e7a9b6488470d4671dfb55eaa4769b3bd41e61ce40649eb
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size 2073728
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