类库 › GlobalBuildingAtlas
zhu-xlab

zhu-xlab/GlobalBuildingAtlas

GlobalBuildingAtlas提供全球建筑多边形、高度及LoD1三维模型数据集。基于机器学习生成,涵盖各国领土,支持通过Web查看器检索数据可用性。需注意不同部分采用ODbL或CC BY-NC等不同许可证,用户需自行合规使用。

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zhu-xlab/GlobalBuildingAtlas

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im2bf python

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依赖

NumPy 1.26.4=py310h5f9d8c6_0 _libgcc_mutex 0.1=main _openmp_mutex 5.1=1_gnu archspec 0.2.3=pyhd3eb1b0_0 asttokens 2.0.5=pyhd3eb1b0_0 attrs 23.1.0=py310h06a4308_0 beautifulsoup4 4.12.2=py310h06a4308_0 blas 1.0=mkl boltons 23.0.0=py310h06a4308_0 brotli-python 1.0.9=py310h6a678d5_7 bzip2 1.0.8=h7b6447c_0 c-ares 1.19.1=h5eee18b_0 ca-certificates 2024.3.11=h06a4308_0 certifi 2024.2.2=py310h06a4308_0 cffi 1.16.0=py310h5eee18b_0 chardet 4.0.0=py310h06a4308_1003 charset-normalizer 2.0.4=pyhd3eb1b0_0 click 8.1.7=py310h06a4308_0 conda 23.9.0=py310h06a4308_0 conda-build 24.3.0=py310h06a4308_0 conda-content-trust 0.2.0=py310h06a4308_0 conda-index 0.4.0=pyhd3eb1b0_0 conda-libmamba-solver 23.7.0=py310h06a4308_0 conda-package-handling 2.2.0=py310h06a4308_0 conda-package-streaming 0.9.0=py310h06a4308_0 cryptography 42.0.5=py310hdda0065_0 cuda-cudart 12.1.105=0 cuda-cupti 12.1.105=0 cuda-libraries 12.1.0=0 cuda-nvrtc 12.1.105=0 cuda-nvtx 12.1.105=0 cuda-opencl 12.4.99=0 cuda-runtime 12.1.0=0 decorator 5.1.1=pyhd3eb1b0_0 distro 1.8.0=py310h06a4308_0 exceptiongroup 1.2.0=py310h06a4308_0 executing 0.8.3=pyhd3eb1b0_0 expat 2.5.0=h6a678d5_0 ffmpeg 4.3=hf484d3e_0 fmt 9.1.0=hdb19cb5_0 freetype 2.12.1=h4a9f257_0 gmp 6.2.1=h295c915_3 gmpy2 2.1.2=py310heeb90bb_0 gnutls 3.6.15=he1e5248_0 icu 73.1=h6a678d5_0 idna 3.4=py310h06a4308_0 intel-openmp 2023.1.0=hdb19cb5_46306 ipython 8.20.0=py310h06a4308_0 jedi 0.18.1=py310h06a4308_1 jinja2 3.1.3=py310h06a4308_0 jpeg 9e=h5eee18b_1 jsonpatch 1.32=pyhd3eb1b0_0 jsonpointer 2.1=pyhd3eb1b0_0 jsonschema 4.19.2=py310h06a4308_0 jsonschema-specifications 2023.7.1=py310h06a4308_0 krb5 1.20.1=h143b758_1 lame 3.100=h7b6447c_0 lcms2 2.12=h3be6417_0 ld_impl_linux-64 2.38=h1181459_1 lerc 3.0=h295c915_0 libarchive 3.6.2=h6ac8c49_2 libcublas 12.1.0.26=0 libcufft 11.0.2.4=0 libcufile 1.9.0.20=0 libcurand 10.3.5.119=0 libcurl 8.5.0=h251f7ec_0 libcusolver 11.4.4.55=0 libcusparse 12.0.2.55=0 libdeflate 1.17=h5eee18b_1 libedit 3.1.20230828=h5eee18b_0 libev 4.33=h7f8727e_1 libffi 3.4.4=h6a678d5_0 libgcc-ng 11.2.0=h1234567_1 libgomp 11.2.0=h1234567_1 libiconv 1.16=h7f8727e_2 libidn2 2.3.4=h5eee18b_0 libjpeg-turbo 2.0.0=h9bf148f_0 liblief 0.12.3=h6a678d5_0 libmamba 1.5.3=haf1ee3a_0 libmambapy 1.5.3=py310h2dafd23_0 libnghttp2 1.57.0=h2d74bed_0 libnpp 12.0.2.50=0 libnvjitlink 12.1.105=0 libnvjpeg 12.1.1.14=0 libpng 1.6.39=h5eee18b_0 libsolv 0.7.24=he621ea3_0 libssh2 1.10.0=hdbd6064_2 libstdcxx-ng 11.2.0=h1234567_1 libtasn1 4.19.0=h5eee18b_0 libunistring 0.9.10=h27cfd23_0 libuuid 1.41.5=h5eee18b_0 libuv 1.44.2=h5eee18b_0 libwebp-base 1.3.2=h5eee18b_0 libxml2 2.10.4=hf1b16e4_1 llvm-openmp 14.0.6=h9e868ea_0 lz4-c 1.9.4=h6a678d5_0 markupsafe 2.1.3=py310h5eee18b_0 matplotlib-inline 0.1.6=py310h06a4308_0 menuinst 2.0.2=py310h06a4308_0 mkl 2023.1.0=h213fc3f_46344 mkl-service 2.4.0=py310h5eee18b_1 mkl_fft 1.3.8=py310h5eee18b_0 mkl_random 1.2.4=py310hdb19cb5_0 more-itertools 10.1.0=py310h06a4308_0 mpc 1.1.0=h10f8cd9_1 mpfr 4.0.2=hb69a4c5_1 mpmath 1.3.0=py310h06a4308_0 ncurses 6.4=h6a678d5_0 nettle 3.7.3=hbbd107a_1 numpy-base 1.26.4=py310hb5e798b_0 openh264 2.1.1=h4ff587b_0 openjpeg 2.4.0=h3ad879b_0 openssl 3.0.13=h7f8727e_0 parso 0.8.3=pyhd3eb1b0_0 patch 2.7.6=h7b6447c_1001 patchelf 0.17.2=h6a678d5_0 pcre2 10.42=hebb0a14_0 pexpect 4.8.0=pyhd3eb1b0_3 pillow 10.2.0=py310h5eee18b_0 pip 23.3.1=py310h06a4308_0 pkginfo 1.9.6=py310h06a4308_0 platformdirs 3.10.0=py310h06a4308_0 pluggy 1.0.0=py310h06a4308_1 prompt-toolkit 3.0.43=py310h06a4308_0 prompt_toolkit 3.0.43=hd3eb1b0_0 psutil 5.9.0=py310h5eee18b_0 ptyprocess 0.7.0=pyhd3eb1b0_2 pure_eval 0.2.2=pyhd3eb1b0_0 py-lief 0.12.3=py310h6a678d5_0 pybind11-abi 4=hd3eb1b0_1 pycosat 0.6.6=py310h5eee18b_0 pycparser 2.21=pyhd3eb1b0_0 pygments 2.15.1=py310h06a4308_1 pyopenssl 24.0.0=py310h06a4308_0 pysocks 1.7.1=py310h06a4308_0 python 3.10.14=h955ad1f_0 python-libarchive-c 2.9=pyhd3eb1b0_1 pytorch-cuda 12.1=ha16c6d3_5 pytorch-mutex 1.0=cuda pytz 2023.3.post1=py310h06a4308_0 pyyaml 6.0.1=py310h5eee18b_0 readline 8.2=h5eee18b_0 referencing 0.30.2=py310h06a4308_0 reproc 14.2.4=h295c915_1 reproc-cpp 14.2.4=h295c915_1 rhash 1.4.3=hdbd6064_0 rpds-py 0.10.6=py310hb02cf49_0 ruamel.yaml 0.17.21=py310h5eee18b_0 ruamel.yaml.clib 0.2.6=py310h5eee18b_1 six 1.16.0=pyhd3eb1b0_1 soupsieve 2.5=py310h06a4308_0 sqlite 3.41.2=h5eee18b_0 stack_data 0.2.0=pyhd3eb1b0_0 sympy 1.12=py310h06a4308_0 tbb 2021.8.0=hdb19cb5_0 tk 8.6.12=h1ccaba5_0 tomli 2.0.1=py310h06a4308_0 toolz 0.12.0=py310h06a4308_0 torchaudio 2.2.2=py310_cu121 torchtriton 2.2.0=py310 tqdm 4.65.0=py310h2f386ee_0 traitlets 5.7.1=py310h06a4308_0 truststore 0.8.0=py310h06a4308_0 typing_extensions 4.9.0=py310h06a4308_1 wcwidth 0.2.5=pyhd3eb1b0_0 wheel 0.41.2=py310h06a4308_0 xz 5.4.6=h5eee18b_0 yaml 0.2.5=h7b6447c_0 yaml-cpp 0.8.0=h6a678d5_0 zlib 1.2.13=h5eee18b_0 zstandard 0.19.0=py310h5eee18b_0 zstd 1.5.5=hc292b87_0

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