Masterarbeit zur Untersuchung des Ohrs zur Personenauthntifizierung an IT-Systemen mittels CNNs
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MA_Conda_Env.yml 4.8KB

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  1. name: Test
  2. channels:
  3. - pytorch
  4. - conda-forge
  5. - defaults
  6. dependencies:
  7. - _pytorch_select=0.1=cpu_0
  8. - absl-py=0.10.0=py38_0
  9. - attrs=19.3.0=py_0
  10. - backcall=0.1.0=py38_0
  11. - blas=1.0=mkl
  12. - bleach=3.1.4=py_0
  13. - blinker=1.4=py38_0
  14. - brotlipy=0.7.0=py38he774522_1000
  15. - ca-certificates=2020.12.5=h5b45459_0
  16. - cachetools=4.1.1=py_0
  17. - certifi=2020.12.5=py38haa244fe_1
  18. - cffi=1.14.0=py38h7a1dbc1_0
  19. - chardet=3.0.4=py38_1003
  20. - click=7.1.2=py_0
  21. - colorama=0.4.3=py_0
  22. - cryptography=2.9.2=py38h7a1dbc1_0
  23. - cudatoolkit=10.2.89=h74a9793_1
  24. - cycler=0.10.0=py38_0
  25. - decorator=4.4.2=py_0
  26. - defusedxml=0.6.0=py_0
  27. - entrypoints=0.3=py38_0
  28. - freetype=2.9.1=ha9979f8_1
  29. - future=0.18.2=py38haa244fe_3
  30. - google-auth=1.21.2=py_0
  31. - google-auth-oauthlib=0.4.1=py_2
  32. - grpcio=1.31.0=py38he7da953_0
  33. - hdf5=1.10.4=h7ebc959_0
  34. - icc_rt=2019.0.0=h0cc432a_1
  35. - icu=58.2=ha925a31_3
  36. - idna=2.10=py_0
  37. - importlib-metadata=1.6.0=py38_0
  38. - importlib_metadata=1.6.0=0
  39. - intel-openmp=2020.1=216
  40. - ipykernel=5.1.4=py38h39e3cac_0
  41. - ipython=7.13.0=py38h5ca1d4c_0
  42. - ipython_genutils=0.2.0=py38_0
  43. - ipywidgets=7.5.1=py_1
  44. - jedi=0.17.0=py38_0
  45. - jinja2=2.11.2=py_0
  46. - joblib=0.15.1=py_0
  47. - jpeg=9b=hb83a4c4_2
  48. - json5=0.9.5=py_0
  49. - jsonschema=3.2.0=py38_0
  50. - jupyter_client=6.1.3=py_0
  51. - jupyter_core=4.6.3=py38_0
  52. - jupyterlab=2.1.5=py_0
  53. - jupyterlab_server=1.2.0=py_0
  54. - kiwisolver=1.2.0=py38h74a9793_0
  55. - libopencv=4.0.1=hbb9e17c_0
  56. - libpng=1.6.37=h2a8f88b_0
  57. - libprotobuf=3.12.4=h200bbdf_0
  58. - libsodium=1.0.16=h9d3ae62_0
  59. - libtiff=4.1.0=h56a325e_1
  60. - lz4-c=1.9.2=h62dcd97_0
  61. - m2w64-gcc-libgfortran=5.3.0=6
  62. - m2w64-gcc-libs=5.3.0=7
  63. - m2w64-gcc-libs-core=5.3.0=7
  64. - m2w64-gmp=6.1.0=2
  65. - m2w64-libwinpthread-git=5.0.0.4634.697f757=2
  66. - markdown=3.2.2=py38_0
  67. - markupsafe=1.1.1=py38he774522_0
  68. - matplotlib=3.1.3=py38_0
  69. - matplotlib-base=3.1.3=py38h64f37c6_0
  70. - mistune=0.8.4=py38he774522_1000
  71. - mkl=2020.1=216
  72. - mkl-service=2.3.0=py38hb782905_0
  73. - mkl_fft=1.0.15=py38h14836fe_0
  74. - mkl_random=1.1.1=py38h47e9c7a_0
  75. - msys2-conda-epoch=20160418=1
  76. - nbconvert=5.6.1=py38_0
  77. - nbformat=5.0.6=py_0
  78. - ninja=1.9.0=py38h74a9793_0
  79. - nodejs=10.13.0=0
  80. - notebook=6.0.3=py38_0
  81. - numpy=1.18.1=py38h93ca92e_0
  82. - numpy-base=1.18.1=py38hc3f5095_1
  83. - oauthlib=3.1.0=py_0
  84. - olefile=0.46=py_0
  85. - opencv=4.0.1=py38h2a7c758_0
  86. - openssl=1.1.1i=h8ffe710_0
  87. - packaging=20.8=pyhd3deb0d_0
  88. - pandas=1.0.3=py38h47e9c7a_0
  89. - pandoc=2.2.3.2=0
  90. - pandocfilters=1.4.2=py38_1
  91. - parso=0.7.0=py_0
  92. - pickleshare=0.7.5=py38_1000
  93. - pillow=7.1.2=py38hcc1f983_0
  94. - pip=20.0.2=py38_3
  95. - plotly=4.11.0=py_0
  96. - prometheus_client=0.7.1=py_0
  97. - prompt-toolkit=3.0.5=py_0
  98. - prompt_toolkit=3.0.5=0
  99. - protobuf=3.12.4=py38ha925a31_0
  100. - py-opencv=4.0.1=py38he44ac1e_0
  101. - pyasn1=0.4.8=py_0
  102. - pyasn1-modules=0.2.7=py_0
  103. - pycparser=2.20=py_0
  104. - pygments=2.6.1=py_0
  105. - pyjwt=1.7.1=py38_0
  106. - pyopenssl=19.1.0=py_1
  107. - pyparsing=2.4.7=py_0
  108. - pyqt=5.9.2=py38ha925a31_4
  109. - pyrsistent=0.16.0=py38he774522_0
  110. - pysocks=1.7.1=py38_0
  111. - python=3.8.3=he1778fa_0
  112. - python-dateutil=2.8.1=py_0
  113. - python_abi=3.8=1_cp38
  114. - pytorch=1.5.1=py3.8_cuda102_cudnn7_0
  115. - pytz=2020.1=py_0
  116. - pywin32=227=py38he774522_1
  117. - pywinpty=0.5.7=py38_0
  118. - pyzmq=18.1.1=py38ha925a31_0
  119. - qt=5.9.7=vc14h73c81de_0
  120. - requests=2.24.0=py_0
  121. - requests-oauthlib=1.3.0=py_0
  122. - retrying=1.3.3=py_2
  123. - rsa=4.6=py_0
  124. - scikit-learn=0.22.1=py38h6288b17_0
  125. - scipy=1.4.1=py38h9439919_0
  126. - send2trash=1.5.0=py38_0
  127. - setuptools=47.1.1=py38_0
  128. - sip=4.19.13=py38ha925a31_0
  129. - six=1.15.0=py_0
  130. - sqlite=3.31.1=h2a8f88b_1
  131. - tensorboard=2.2.1=pyh532a8cf_0
  132. - tensorboard-plugin-wit=1.6.0=py_0
  133. - terminado=0.8.3=py38_0
  134. - testpath=0.4.4=py_0
  135. - tk=8.6.10=he774522_0
  136. - torchvision=0.6.1=py38_cu102
  137. - tornado=6.0.4=py38he774522_1
  138. - traitlets=4.3.3=py38_0
  139. - urllib3=1.25.9=py_0
  140. - vc=14.1=h0510ff6_4
  141. - vs2015_runtime=14.16.27012=hf0eaf9b_2
  142. - wcwidth=0.1.9=py_0
  143. - webencodings=0.5.1=py38_1
  144. - werkzeug=1.0.1=py_0
  145. - wheel=0.34.2=py38_0
  146. - widgetsnbextension=3.5.1=py38_0
  147. - win_inet_pton=1.1.0=py38_0
  148. - wincertstore=0.2=py38_0
  149. - winpty=0.4.3=4
  150. - xz=5.2.5=h62dcd97_0
  151. - yaml=0.2.5=he774522_0
  152. - zeromq=4.3.1=h33f27b4_3
  153. - zipp=3.1.0=py_0
  154. - zlib=1.2.11=h62dcd97_4
  155. - zstd=1.4.4=ha9fde0e_3
  156. - pip:
  157. - astunparse==1.6.3
  158. - colour==0.1.5
  159. - fsspec==0.8.4
  160. - geojson==2.5.0
  161. - lxml==4.5.2
  162. - mpld3==0.5.1
  163. - msgpack==1.0.0
  164. - pixiedust==1.1.18
  165. - pytorch-ignite==0.4.2
  166. - pytorch-lightning==1.0.7
  167. - pyyaml==5.3.1
  168. - torch-utils==0.1.2
  169. - torchsummary==1.5.1
  170. - tqdm==4.52.0
  171. prefix: C:\Users\wurhofer\anaconda3\envs\Test