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CrowdCounting-with-Scale-Adaptive-Selection-SASNet
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leuschnm commited on
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add env

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  1. environment.yaml +161 -0
environment.yaml ADDED
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+ name: SASNet
2
+ channels:
3
+ - pytorch
4
+ - nvidia
5
+ - anaconda
6
+ - defaults
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+ dependencies:
8
+ - _libgcc_mutex=0.1=main
9
+ - _openmp_mutex=5.1=1_gnu
10
+ - _pytorch_select=0.1=cpu_0
11
+ - backcall=0.2.0=pyhd3eb1b0_0
12
+ - blas=1.0=mkl
13
+ - ca-certificates=2022.07.19=h06a4308_0
14
+ - certifi=2022.6.15=py37h06a4308_0
15
+ - cffi=1.15.0=py37h7f8727e_0
16
+ - cuda=12.0.0=0
17
+ - cuda-cccl=12.0.90=0
18
+ - cuda-command-line-tools=12.0.0=0
19
+ - cuda-compiler=12.0.0=0
20
+ - cuda-cudart=12.0.107=0
21
+ - cuda-cudart-dev=12.0.107=0
22
+ - cuda-cudart-static=12.0.107=0
23
+ - cuda-cuobjdump=12.0.76=0
24
+ - cuda-cupti=12.0.90=0
25
+ - cuda-cupti-static=12.0.90=0
26
+ - cuda-cuxxfilt=12.0.76=0
27
+ - cuda-demo-suite=12.0.76=0
28
+ - cuda-documentation=12.0.76=0
29
+ - cuda-driver-dev=12.0.107=0
30
+ - cuda-gdb=12.0.90=0
31
+ - cuda-libraries=12.0.0=0
32
+ - cuda-libraries-dev=12.0.0=0
33
+ - cuda-libraries-static=12.0.0=0
34
+ - cuda-nsight=12.0.78=0
35
+ - cuda-nsight-compute=12.0.0=0
36
+ - cuda-nvcc=12.0.76=0
37
+ - cuda-nvdisasm=12.0.76=0
38
+ - cuda-nvml-dev=12.0.76=0
39
+ - cuda-nvprof=12.0.90=0
40
+ - cuda-nvprune=12.0.76=0
41
+ - cuda-nvrtc=12.0.76=0
42
+ - cuda-nvrtc-dev=12.0.76=0
43
+ - cuda-nvrtc-static=12.0.76=0
44
+ - cuda-nvtx=12.0.76=0
45
+ - cuda-nvvp=12.0.90=0
46
+ - cuda-opencl=12.0.76=0
47
+ - cuda-opencl-dev=12.0.76=0
48
+ - cuda-profiler-api=12.0.76=0
49
+ - cuda-runtime=12.0.0=0
50
+ - cuda-sanitizer-api=12.0.90=0
51
+ - cuda-toolkit=12.0.0=0
52
+ - cuda-tools=12.0.0=0
53
+ - cuda-visual-tools=12.0.0=0
54
+ - cudatoolkit=10.2.89=hfd86e86_1
55
+ - debugpy=1.5.1=py37h295c915_0
56
+ - decorator=5.1.1=pyhd3eb1b0_0
57
+ - entrypoints=0.4=py37h06a4308_0
58
+ - freetype=2.12.1=h4a9f257_0
59
+ - gds-tools=1.5.0.59=0
60
+ - giflib=5.2.1=h7b6447c_0
61
+ - intel-openmp=2022.1.0=h9e868ea_3769
62
+ - ipykernel=6.9.1=py37h06a4308_0
63
+ - ipython=7.31.1=py37h06a4308_1
64
+ - jedi=0.18.1=py37h06a4308_1
65
+ - jpeg=9e=h7f8727e_0
66
+ - jupyter_client=7.2.2=py37h06a4308_0
67
+ - jupyter_core=4.10.0=py37h06a4308_0
68
+ - lcms2=2.12=h3be6417_0
69
+ - lerc=3.0=h295c915_0
70
+ - libcublas=12.0.1.189=0
71
+ - libcublas-dev=12.0.1.189=0
72
+ - libcublas-static=12.0.1.189=0
73
+ - libcufft=11.0.0.21=0
74
+ - libcufft-dev=11.0.0.21=0
75
+ - libcufft-static=11.0.0.21=0
76
+ - libcufile=1.5.0.59=0
77
+ - libcufile-dev=1.5.0.59=0
78
+ - libcufile-static=1.5.0.59=0
79
+ - libcurand=10.3.1.50=0
80
+ - libcurand-dev=10.3.1.50=0
81
+ - libcurand-static=10.3.1.50=0
82
+ - libcusolver=11.4.2.57=0
83
+ - libcusolver-dev=11.4.2.57=0
84
+ - libcusolver-static=11.4.2.57=0
85
+ - libcusparse=12.0.0.76=0
86
+ - libcusparse-dev=12.0.0.76=0
87
+ - libcusparse-static=12.0.0.76=0
88
+ - libdeflate=1.8=h7f8727e_5
89
+ - libedit=3.1.20221030=h5eee18b_0
90
+ - libffi=3.2.1=hf484d3e_1007
91
+ - libgcc-ng=11.2.0=h1234567_1
92
+ - libgfortran-ng=7.5.0=ha8ba4b0_17
93
+ - libgfortran4=7.5.0=ha8ba4b0_17
94
+ - libgomp=11.2.0=h1234567_1
95
+ - libnpp=12.0.0.30=0
96
+ - libnpp-dev=12.0.0.30=0
97
+ - libnpp-static=12.0.0.30=0
98
+ - libnvjitlink=12.0.76=0
99
+ - libnvjitlink-dev=12.0.76=0
100
+ - libnvjpeg=12.0.0.28=0
101
+ - libnvjpeg-dev=12.0.0.28=0
102
+ - libnvjpeg-static=12.0.0.28=0
103
+ - libnvvm-samples=12.0.94=0
104
+ - libpng=1.6.37=hbc83047_0
105
+ - libsodium=1.0.18=h7b6447c_0
106
+ - libstdcxx-ng=11.2.0=h1234567_1
107
+ - libtiff=4.5.0=hecacb30_0
108
+ - libwebp=1.2.4=h11a3e52_0
109
+ - libwebp-base=1.2.4=h5eee18b_0
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+ - lz4-c=1.9.4=h6a678d5_0
111
+ - matplotlib-inline=0.1.2=pyhd3eb1b0_2
112
+ - mkl=2019.4=243
113
+ - mkl-service=2.3.0=py37he8ac12f_0
114
+ - mkl_fft=1.3.0=py37h54f3939_0
115
+ - mkl_random=1.1.0=py37hd6b4f25_0
116
+ - ncurses=6.3=h5eee18b_3
117
+ - nest-asyncio=1.5.5=py37h06a4308_0
118
+ - ninja=1.10.2=h06a4308_5
119
+ - ninja-base=1.10.2=hd09550d_5
120
+ - nsight-compute=2022.4.0.15=0
121
+ - numpy-base=1.17.0=py37hde5b4d6_0
122
+ - openssl=1.0.2u=h7b6447c_0
123
+ - parso=0.8.3=pyhd3eb1b0_0
124
+ - pexpect=4.8.0=pyhd3eb1b0_3
125
+ - pickleshare=0.7.5=pyhd3eb1b0_1003
126
+ - pip=22.3.1=py37h06a4308_0
127
+ - prompt-toolkit=3.0.20=pyhd3eb1b0_0
128
+ - ptyprocess=0.7.0=pyhd3eb1b0_2
129
+ - pycparser=2.21=pyhd3eb1b0_0
130
+ - pygments=2.11.2=pyhd3eb1b0_0
131
+ - python=3.7.0=h6e4f718_3
132
+ - python-dateutil=2.8.2=pyhd3eb1b0_0
133
+ - pytorch=1.5.0=py3.7_cuda10.2.89_cudnn7.6.5_0
134
+ - pyzmq=23.2.0=py37h6a678d5_0
135
+ - readline=7.0=h7b6447c_5
136
+ - setuptools=65.6.3=py37h06a4308_0
137
+ - six=1.16.0=pyhd3eb1b0_1
138
+ - sqlite=3.33.0=h62c20be_0
139
+ - tk=8.6.12=h1ccaba5_0
140
+ - torchvision=0.6.0=py37_cu102
141
+ - tornado=6.1=py37h27cfd23_0
142
+ - traitlets=5.1.1=pyhd3eb1b0_0
143
+ - wcwidth=0.2.5=pyhd3eb1b0_0
144
+ - wheel=0.37.1=pyhd3eb1b0_0
145
+ - xz=5.2.8=h5eee18b_0
146
+ - zeromq=4.3.4=h2531618_0
147
+ - zlib=1.2.13=h5eee18b_0
148
+ - zstd=1.5.2=ha4553b6_0
149
+ - pip:
150
+ - cached-property==1.5.2
151
+ - cycler==0.11.0
152
+ - h5py==3.1.0
153
+ - kiwisolver==1.4.4
154
+ - matplotlib==3.3.3
155
+ - numpy==1.19.0
156
+ - opencv-python==4.4.0.46
157
+ - pillow==8.0.1
158
+ - pyparsing==3.0.9
159
+ - scipy==1.5.4
160
+ - typing-extensions==4.4.0
161
+ prefix: /home/leuschnm/miniconda3/envs/SASNet