monopriors/__init__.py,sha256=J-8eIx0P8rlNTCbwpKqD5qu6_noFJzNbEL8bn9_P4bk,73
monopriors/depth_fuser.py,sha256=iVkJ7aYdlrrcMAn5J5zCAD1_W2Ls0_a-0kcWx-GFy3g,2383
monopriors/depth_utils.py,sha256=hmB22pgo_3wUNzHNR1wIdtDyifrzWpriBstpwRfaK6A,4045
monopriors/monoprior_models.py,sha256=QjSni05b6DmhyDrOvsRqZ_6vhWIPZfJ7MmNAg7-fcf0,3071
monopriors/rr_logging_utils.py,sha256=w-Y6QI9h_oT9auTY85ujTQlUbBddB-E4zeiGJur6ou0,5867
monopriors/data/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
monopriors/data/nerfstudio_data.py,sha256=ivbJE3HkDaVIY8nJpy95yUhUfV9lRRHoeMolxzcQtnk,1075
monopriors/data/polycam_data.py,sha256=Zm4qCxzA74iVPZ_7I5IHH8UpwGwbbsxmwpHq67Flixc,2118
monopriors/data/sdfstudio_data.py,sha256=yYENhHiNSOsZjFNhMzXTkcL-aaJw3UXzq_4qm0puumQ,1805
monopriors/gradio_ui/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
monopriors/gradio_ui/depth_compare_ui.py,sha256=2iYksPStyI8gZYchxz-sB2HBu9-XGq9ulIOjs3dE2RM,7366
monopriors/gradio_ui/depth_inference_ui.py,sha256=LwI3shrWdDm1DCJt_jlghhx6dw6ZebtCxXvFBpdnngA,6343
monopriors/metric_depth_models/__init__.py,sha256=Dv4N4iioXukaEmhbgsZm2aEqE1Q87ViHe1YvRo4r_iw,843
monopriors/metric_depth_models/base_metric_depth.py,sha256=LY5_lIKKi-2w6G9fzACpe7o9TiyuW7tKqEfZvcBwcfQ,717
monopriors/metric_depth_models/metric3d.py,sha256=x0Wu_JWcMhFKQvzev9gQ2eIW1N3I425MQxFYtdTXHV4,5608
monopriors/metric_depth_models/unidepth.py,sha256=xd_hdJOTOQlicWK0FnZXtYS_20OV1LqDc0Wxj3JFUCs,2457
monopriors/relative_depth_models/__init__.py,sha256=-46V_0gESGyBoliTO2Q2yB5givuZ4wvFPuSkCtDWyjY,1267
monopriors/relative_depth_models/base_relative_depth.py,sha256=_41vh36f_GtkFxdEbgbH3dlhcKV8u7L-bYyGuFUIioA,785
monopriors/relative_depth_models/depth_anything_v1.py,sha256=deq9QCvkN8LJv_qQYe_ARLCCDZEdjTSswoqx8m9LjIQ,2540
monopriors/relative_depth_models/depth_anything_v2.py,sha256=a54fT6AGsfd_Y9SpEac7URG25hVq6LP_f_uQNTTMxhc,2628
monopriors/relative_depth_models/metric3d_relative.py,sha256=Qo7wECPm0pjpAp_SjeHeib_GfdbniMUcGDKTNkzOrG0,5776
monopriors/relative_depth_models/unidepth.py,sha256=f1Tn4C0vJ3Ru2UHDKltO_OTahF1MtusIoWr2we9zdQ4,2696
monopriors/surface_normal_models/__init__.py,sha256=fHDpGvZbpFIRZprqPQpmDX0XIonosHWh6M_IOGiNTMs,855
monopriors/surface_normal_models/base_normal_model.py,sha256=HGfOW3tI4tUygBR6Hes1VFQO9qyhXtLLVHmENyXWeC8,678
monopriors/surface_normal_models/dsine_model.py,sha256=lZH7mqj3CwdIUU4Yz7tQkxHHJFFKWf61xDVs0pbVoHQ,4577
monopriors/surface_normal_models/omni_normal_model.py,sha256=iJzzNq4A83v-I74JILjYbIXYlqpIJrGOPhC0wPPYS2g,2818
monopriors/third_party/depth_anything_v2/dinov2.py,sha256=uKEFlQ7Hu2kW0f-5I-xBYy2qZ7V81dHSJWvUlab5wbI,15650
monopriors/third_party/depth_anything_v2/dpt.py,sha256=fMmim0HTHhYo5ci4cF4lrpW8ZJD3edu2lSl84jQVZvU,7391
monopriors/third_party/depth_anything_v2/dinov2_layers/__init__.py,sha256=48KMe3dRZbaEQADrafRNEE1sOAOsfaXVn2rD7PtG2dg,382
monopriors/third_party/depth_anything_v2/dinov2_layers/attention.py,sha256=DSQQzouLRJmmsM2rk5rivOq4lx79hmDZmbDzCI8oy_c,2343
monopriors/third_party/depth_anything_v2/dinov2_layers/block.py,sha256=4UNxvXTJ59TBVmYHoFiLhnUf8CkTArsEqv_x6EPAdnI,9691
monopriors/third_party/depth_anything_v2/dinov2_layers/drop_path.py,sha256=lJEAqsTZwZydZTGdvTYohsXUanLXWGuk_VAOnx1RVww,1160
monopriors/third_party/depth_anything_v2/dinov2_layers/layer_scale.py,sha256=NWgXtdE5BzcSjLzAOlMz_TBgtzvq5Hh3IoLMuFHQ74U,823
monopriors/third_party/depth_anything_v2/dinov2_layers/mlp.py,sha256=wYxbPwIUCFl6Rzu3EAcOw_s7OfWi5C6IroPO1CWmCLU,1272
monopriors/third_party/depth_anything_v2/dinov2_layers/patch_embed.py,sha256=s_guGZJsnPtj8QE2rKXopyO94a1i2uHQT5DUBflDm68,2832
monopriors/third_party/depth_anything_v2/dinov2_layers/swiglu_ffn.py,sha256=34HZkBJAIU7cGDHOG3dVjc1iJ7KaLwAPxfVG31XS0Jo,1859
monopriors/third_party/depth_anything_v2/util/blocks.py,sha256=NRqiS4r0vvkj6-O-1eXoUDsI45vwbuBF1kRKSFogNqg,3987
monopriors/third_party/depth_anything_v2/util/transform.py,sha256=qX3x27aHRXpAw4f9w0gu3ufdxcFCx9JzXKYjWoriiF8,6075
monopriors/third_party/dsine/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
monopriors/third_party/dsine/dsine.py,sha256=u_YURGUCIGChZ-j6r03y_V9pxidRxZLOXAgsCciB9dw,11300
monopriors/third_party/dsine/dsine_kappa.py,sha256=FFT4BQwbDD16JnMj6YRpMnqSZMsO-yWEkfddlLIUJl0,13123
monopriors/third_party/dsine/submodules.py,sha256=7EHDrccKX6sXJUCPFyUgtCKWu-uC_NtKWRyrdEZpVdQ,8746
monopriors/third_party/dsine/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
monopriors/third_party/dsine/utils/rotation.py,sha256=paoj0276fSF50dvDoIMeZXAPs2I0_Uw1xGvuMa6xjD8,2777
monopriors/third_party/dsine/utils/utils.py,sha256=tYGbKADDKoXvjQH5w0Qk0Lgi9HkOhex4Qvhze_JTgkc,2986
tools/app.py,sha256=xISQOVa58FwqOOqHUX6iFROoXe8zpjH0buLhpTPw_Qc,1907
tools/compare_normals.py,sha256=DaTZuvWBZ_YogM3_SqriUCHBJV5HL3N23Ht5bAINlnQ,3070
tools/gradio_app.py,sha256=Crz6ruK3rYbSwiTOjqsOaAo7gBjgqSF7OHEtlaYeCXk,1166
tools/inference_polycam.py,sha256=ohJbvL0wgmK_Rljrsz4XO-5Huw0yvQ5bKmlwCVlGGoo,6217
tools/nerfstudio_to_sdfstudio.py,sha256=PUY8gKRwlMIotMpUN0ZqjQPI2h8I5ayhpZA9XPYUBJA,8740
tools/run_relative_depth.py,sha256=DCwTtzP7BWlEqX0-EE2xJLkTBd32RVaJxzjKqh0dgmM,1856
tools/upload_to_hf.py,sha256=-IaoSnMOwVuVvYn3xlmGkP-4jS1FMcYcYt4ZmJMfxUU,2126
tools/view_sdfstudio.py,sha256=7Ed-z4yYWxIstQUSTCRF1c7EMYeRXGJx2hpQDpWTYpo,2136
monopriors-0.1.0.dist-info/METADATA,sha256=lImNst7iujpaAs9Sn5-Bb11R_EzsY6Ka0ais-ApmvP0,2236
monopriors-0.1.0.dist-info/WHEEL,sha256=R0nc6qTxuoLk7ShA2_Y-UWkN8ZdfDBG2B6Eqpz2WXbs,91
monopriors-0.1.0.dist-info/top_level.txt,sha256=ob4aAGXjeSLcC25RiO0MMQ-mtd7wD8BrREP6-rcpXw4,17
monopriors-0.1.0.dist-info/RECORD,,
