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environment_osx.yaml 2.1 kB

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  1. name: dface
  2. channels:
  3. - pytorch
  4. - defaults
  5. dependencies:
  6. - backports=1.0=py27hb4f9756_1
  7. - backports.functools_lru_cache=1.4=py27h2aca819_1
  8. - backports_abc=0.5=py27h6972548_0
  9. - bzip2=1.0.6=h649919c_2
  10. - ca-certificates=2017.08.26=ha1e5d58_0
  11. - cairo=1.14.10=h913ea44_6
  12. - certifi=2017.11.5=py27hfa9a1c4_0
  13. - cffi=1.11.4=py27h342bebf_0
  14. - cycler=0.10.0=py27hfc73c78_0
  15. - ffmpeg=3.4=h766ddd1_0
  16. - fontconfig=2.12.4=hffb9db1_2
  17. - freetype=2.8=h12048fb_1
  18. - functools32=3.2.3.2=py27h8ceab06_1
  19. - gettext=0.19.8.1=h15daf44_3
  20. - glib=2.53.6=h33f6a65_2
  21. - graphite2=1.3.10=h233cf8b_0
  22. - harfbuzz=1.5.0=h6db888e_0
  23. - hdf5=1.10.1=ha036c08_1
  24. - icu=58.2=h4b95b61_1
  25. - intel-openmp=2018.0.0=h8158457_8
  26. - jasper=1.900.1=h1f36771_4
  27. - jpeg=9b=he5867d9_2
  28. - libcxx=4.0.1=h579ed51_0
  29. - libcxxabi=4.0.1=hebd6815_0
  30. - libedit=3.1=hb4e282d_0
  31. - libffi=3.2.1=h475c297_4
  32. - libgfortran=3.0.1=h93005f0_2
  33. - libiconv=1.15=hdd342a3_7
  34. - libopus=1.2.1=h169cedb_0
  35. - libpng=1.6.32=hd1e8b91_4
  36. - libprotobuf=3.4.1=h326466f_0
  37. - libtiff=4.0.9=h0dac147_0
  38. - libvpx=1.6.1=h057a404_0
  39. - libxml2=2.9.4=hf05c021_6
  40. - matplotlib=2.1.1=py27hb768455_0
  41. - mkl=2018.0.1=hfbd8650_4
  42. - ncurses=6.0=hd04f020_2
  43. - numpy=1.14.0=py27h8a80b8c_0
  44. - olefile=0.44=py27h73ba740_0
  45. - opencv=3.3.1=py27h60a5f38_1
  46. - openssl=1.0.2n=hdbc3d79_0
  47. - pcre=8.41=hfb6ab37_1
  48. - pillow=5.0.0=py27hfcce615_0
  49. - pip=9.0.1=py27h1567d89_4
  50. - pixman=0.34.0=hca0a616_3
  51. - pycparser=2.18=py27h0d28d88_1
  52. - pyparsing=2.2.0=py27h5bb6aaf_0
  53. - python=2.7.14=hde5916a_29
  54. - python-dateutil=2.6.1=py27hd56c96b_1
  55. - pytz=2017.3=py27h803c07a_0
  56. - readline=7.0=hc1231fa_4
  57. - setuptools=38.4.0=py27_0
  58. - singledispatch=3.4.0.3=py27he22c18d_0
  59. - six=1.11.0=py27h7252ba3_1
  60. - sqlite=3.20.1=h7e4c145_2
  61. - ssl_match_hostname=3.5.0.1=py27h8780752_2
  62. - subprocess32=3.2.7=py27h24b2887_0
  63. - tk=8.6.7=h35a86e2_3
  64. - tornado=4.5.3=py27_0
  65. - wheel=0.30.0=py27h677a027_1
  66. - xz=5.2.3=h0278029_2
  67. - zlib=1.2.11=hf3cbc9b_2
  68. - pytorch=0.3.0=py27_cuda0.0_cudnn0.0he480db7_4
  69. - torchvision=0.2.0=py27hfc0307a_1
  70. - pip:
  71. - backports-abc==0.5
  72. - backports.functools-lru-cache==1.4
  73. - backports.ssl-match-hostname==3.5.0.1
  74. - torch==0.3.0.post4
  75. prefix: /Users/hfu/anaconda2/envs/dface

开源的深度学习人脸检测和人脸识别系统。所有功能都采用 pytorch 框架开发。pytorch是一个由facebook开发的深度学习框架,它包含了一些比较有趣的高级特性,例如自动求导,动态构图等。DFace天然的继承了这些优点,使得它的训练过程可以更加简单方便,并且实现的代码可以更加清晰易懂