如何使用 docker 安装 bob python 工具包？
How to install bob python toolkit with docker?
我正在尝试安装 bob.learn.em，但没有记录任何安装 bob 的直接方法。
有一些非常古老的资源可以安装 bob：
https://hub.docker.com/r/artimi/bob
https://github.com/Artimi/bob_docker_image/blob/master/Dockerfile
但是其中 none 无法安装 bob.learn.em 或任何最新的 bob 包。
我尝试了 pip 和 conda 都不成功，官方文档（https://www.idiap.ch/software/bob/docs/bob/docs/stable/install.html）不起作用（至少对于我的系统，我什至在 docker 容器中尝试过 conda）
是否有任何 docker 容器或可复制的方法来安装像 bob.learn.em 这样的 bob 和 bob 包？
anaconda3 容器内的错误，
docker pull continuumio/anaconda3
Using default tag: latest
latest: Pulling from continuumio/anaconda3
7d63c13d9b9b: Pull complete
49c20f8a042a: Pull complete
Digest: sha256:d7b270f0460d03956a8bcc4d8bffe2426eec5d260fd5256e0a197d0e2e2f7941
Status: Downloaded newer image for continuumio/anaconda3:latest
SYS-1029GQ-TVRT:~$ docker run -i -t continuumio/anaconda3 /bin/bash
(base) root@b29e88642f09:/# ls
bin dev home lib64 mnt proc run srv tmp var
boot etc lib media opt root sbin sys usr
(base) root@b29e88642f09:/# ls
bin dev home lib64 mnt proc run srv tmp var
boot etc lib media opt root sbin sys usr
(base) root@b29e88642f09:/# conda --version
conda 4.10.1
(base) root@b29e88642f09:/# conda update -n base -c defaults conda
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: /opt/conda
added / updated specs:
- conda
The following packages will be downloaded:
package | build
---------------------------|-----------------
conda-4.10.3 | py38h06a4308_0 2.9 MB
xmltodict-0.12.0 | pyhd3eb1b0_0 13 KB
------------------------------------------------------------
Total: 2.9 MB
The following packages will be UPDATED:
conda 4.10.1-py38h06a4308_1 --> 4.10.3-py38h06a4308_0
The following packages will be DOWNGRADED:
xmltodict 0.12.0-py_0 --> 0.12.0-pyhd3eb1b0_0
Proceed ([y]/n)? y
Downloading and Extracting Packages
xmltodict-0.12.0 | 13 KB | ##################################### | 100%
conda-4.10.3 | 2.9 MB | ##################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(base) root@b29e88642f09:/# conda config --set show_channel_urls True
(base) root@b29e88642f09:/# conda create --name bob_env1 --override-channels \
-c https://www.idiap.ch/software/bob/conda -c defaults \
python=3 bob.learn.em
Collecting package metadata (current_repodata.json): done
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: \
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed \
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Output in format: Requested package -> Available versions
Package python conflicts for:
python=3
bob.learn.em -> python[version='2.7.*|3.5.*|3.6.*|>=2.7,<2.8.0a0|>=3.6,<3.7.0a0|>=3.7,<3.8.0a0|>=3.8,<3.9.0a0|3.4.*']
bob.learn.em -> boost[version='>=1.73.0,<1.73.1.0a0'] -> python[version='>=3.10,<3.11.0a0|>=3.9,<3.10.0a0|>=3.5,<3.6.0a0']The following specifications were found to be incompatible with your system:
- feature:/linux-64::__glibc==2.31=0
- feature:|@/linux-64::__glibc==2.31=0
- bob.learn.em -> bob.extension[version='>=6.0.0,<7.0a0'] -> __glibc[version='>=2.17|>=2.17,<3.0.a0']
Your installed version is: 2.31
(base) root@b29e88642f09:/# conda create -n bdt -c https://www.idiap.ch/software/bob/conda bob.devtools
Collecting package metadata (current_repodata.json): done
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: -
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError:
(base) root@b29e88642f09:/# conda install \
-c https://www.idiap.ch/software/bob/conda \
-c defaults \
-c https://www.idiap.ch/software/bob/conda/label/archive \
bob=4.0.0 bob.io.base
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: |
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:
Specifications:
- bob.io.base -> python[version='>=3.10,<3.11.0a0|>=3.9,<3.10.0a0|>=3.5,<3.6.0a0']
- bob=4.0.0 -> python[version='>=2.7,<2.8.0a0|>=3.6,<3.7.0a0']
Your python: python=3.8
If python is on the left-most side of the chain, that's the version you've asked for.
When python appears to the right, that indicates that the thing on the left is somehow
not available for the python version you are constrained to. Note that conda will not
change your python version to a different minor version unless you explicitly specify
that.
The following specifications were found to be incompatible with each other:
Output in format: Requested package -> Available versions
Package certifi conflicts for:
bob=4.0.0 -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']
bob.io.base -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']
Package _libgcc_mutex conflicts for:
python=3.8 -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build=main]
bob.io.base -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build=main]The following specifications were found to be incompatible with your system:
- feature:/linux-64::__glibc==2.31=0
- feature:|@/linux-64::__glibc==2.31=0
- bob.io.base -> bob.extension[version='>=6.0.0,<7.0a0'] -> __glibc[version='>=2.17|>=2.17,<3.0.a0']
Your installed version is: 2.31
(base) root@b29e88642f09:/# ls
bin dev home lib64 mnt proc run srv tmp var
boot etc lib media opt root sbin sys usr
(base) root@b29e88642f09:/# mkdir bob
(base) root@b29e88642f09:/# cd bob
(base) root@b29e88642f09:/bob# wget https://www.idiap.ch/software/bob/docs/bob/docs/stable/_downloads/fb6ec72cab2ebaf2fbd8a4717d139e29/v300py36.yaml
--2021-10-21 16:35:26-- https://www.idiap.ch/software/bob/docs/bob/docs/stable/_downloads/fb6ec72cab2ebaf2fbd8a4717d139e29/v300py36.yaml
Resolving www.idiap.ch (www.idiap.ch)... 192.33.221.201
Connecting to www.idiap.ch (www.idiap.ch)|192.33.221.201|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 7020 (6.9K) [application/octet-stream]
Saving to: ‘v300py36.yaml’
v300py36.yaml 100%[===================>] 6.86K --.-KB/s in 0s
2021-10-21 16:35:28 (18.7 MB/s) - ‘v300py36.yaml’ saved [7020/7020]
(base) root@b29e88642f09:/bob# ls
v300py36.yaml
(base) root@b29e88642f09:/bob# conda env create --file v300py36.yaml
Collecting package metadata (repodata.json): done
Solving environment: failed
ResolvePackageNotFound:
- ncurses==5.9=10
- yaml==0.1.6=0
- cython==0.25.2=py36_0
- pyyaml==3.12=py36_0
- icu==54.1=0
- sqlite==3.13.0=0
- pkg-config==0.28=1
- numpy==1.12.1=py36_0
- alabaster==0.7.10=py36_0
- decorator==4.1.2=py36_0
- html5lib==0.9999999=py36_0
- mpc==1.0.3=0
- path.py==10.3.1=py36_0
- pcre==8.39=1
- libpng==1.6.27=0
- pandocfilters==1.4.2=py36_0
- lmdb==0.9.21=0
- libffi==3.2.1=1
- six==1.10.0=py36_0
- ipython==5.3.0=py36_0
- certifi==2016.2.28=py36_0
- fontconfig==2.12.1=3
- requests==2.14.2=py36_0
- scikit-learn==0.18.1=np112py36_1
- pip==9.0.1=py36_1
- sip==4.18=py36_0
- bzip2==1.0.6=3
- simplegeneric==0.8.1=py36_1
- llvmlite==0.18.0=py36_0
- boost==1.61.0=py36_0
- jupyter_client==5.1.0=py36_0
- jupyter_console==5.2.0=py36_0
- markupsafe==1.0=py36_0
- wheel==0.29.0=py36_0
- entrypoints==0.2.3=py36_0
- zeromq==4.1.5=0
- olefile==0.44=py36_0
- libiconv==1.14=0
- coverage==4.3.4=py36_0
- h5py==2.7.0=np112py36_0
- pywavelets==0.5.2=np112py36_0
- notebook==5.0.0=py36_0
- cytoolz==0.8.2=py36_0
- dbus==1.10.20=0
- gflags==2.2.0=1
- matplotlib==2.0.2=np112py36_0
- mistune==0.7.4=py36_0
- tornado==4.5.2=py36_0
- toolz==0.8.2=py36_0
- libtiff==4.0.6=3
- backports.weakref==1.0rc1=py36_0
- bokeh==0.12.7=py36_0
- dask==0.14.3=py36_1
- libgcc==4.8.5=2
- ipykernel==4.6.1=py36_0
- protobuf==3.2.0=py36_0
- glib==2.50.2=1
- ipywidgets==6.0.0=py36_0
- numba==0.33.0=np112py36_0
- bleach==1.5.0=py36_0
- leveldb==1.20=0
- widgetsnbextension==3.0.2=py36_0
- cloudpickle==0.4.0=py36_0
- numexpr==2.6.2=np112py36_0
- pexpect==4.2.1=py36_0
- pyqt==5.6.0=py36_2
- gmp==6.1.0=0
- libxcb==1.12=1
- pyzmq==16.0.2=py36_0
- werkzeug==0.12.2=py36_0
- virtualenv==15.1.0=py36_0
- backports==1.0=py36_0
- nbconvert==5.2.1=py36_0
- gst-plugins-base==1.8.0=0
- expat==2.1.0=0
- curl==7.52.1=0
- mkl==2017.0.1=0
- jpeg==9b=0
- jinja2==2.9.6=py36_0
- nose==1.3.7=py36_1
- libprotobuf==3.2.0=0
- gcc==4.8.5=7
- libgfortran==3.0.0=1
- tk==8.5.18=0
- hdf5==1.8.17=2
- jupyter==1.0.0=py36_3
- mpfr==3.1.5=0
- caffe==1.0.0rc5=np112py36_0
- pillow==4.1.1=py36_0
- tensorflow==1.2.1=py36_0
- sphinx_rtd_theme==0.2.4=py36_0
- python-gflags==3.1.1=py36_0
- sphinx==1.5.6=py36_0
- jbig==2.1=0
- terminado==0.6=py36_0
- xz==5.2.3=0
- jupyter_core==4.3.0=py36_0
- python==3.6.2=0
- scipy==0.19.0=np112py36_0
- openblas==0.2.19=0
- markdown==2.6.9=py36_0
- setuptools==36.4.0=py36_1
- qt==5.6.2=5
- sqlalchemy==1.1.9=py36_0
- readline==6.2=2
- cmake==3.6.3=0
- pandas==0.20.1=np112py36_0
- freetype==2.5.5=2
- openssl==1.0.2l=0
- gstreamer==1.8.0=0
- ptyprocess==0.5.2=py36_0
- imagesize==0.7.1=py36_0
- zlib==1.2.11=0
- babel==2.5.0=py36_0
- libsodium==1.0.10=0
- snappy==1.1.6=0
- pyparsing==2.2.0=py36_0
- python-dateutil==2.6.1=py36_0
- scikit-image==0.13.0=np112py36_0
- pytz==2017.2=py36_0
- glog==0.3.5=0
- networkx==1.11=py36_0
- python-leveldb==0.194=py36_1
- libxml2==2.9.4=0
如何让它发挥作用？
写了这个简单的 dockerfile。
Dockerfile
FROM continuumio/anaconda3:latest
ARG DEBIAN_FRONTEND=noninteractive
WORKDIR /bob
COPY . /bob/
RUN apt update
RUN apt install -y build-essential libopencv-dev python3-opencv ffmpeg libsndfile1 libsndfile-dev wget git tmux
RUN conda env create -f bob.yml
# Make RUN commands use the new environment:
SHELL ["conda", "run", "-n", "bob", "/bin/bash", "-c"]
RUN conda config --add channels conda-forge
RUN conda install -y -c conda-forge/label/broken bob.learn.em
bob.yml
name: bob
channels:
- conda-forge
dependencies:
- python=3.5
- numpy
我正在尝试安装 bob.learn.em，但没有记录任何安装 bob 的直接方法。
有一些非常古老的资源可以安装 bob：
https://hub.docker.com/r/artimi/bob
https://github.com/Artimi/bob_docker_image/blob/master/Dockerfile
但是其中 none 无法安装 bob.learn.em 或任何最新的 bob 包。
我尝试了 pip 和 conda 都不成功，官方文档（https://www.idiap.ch/software/bob/docs/bob/docs/stable/install.html）不起作用（至少对于我的系统，我什至在 docker 容器中尝试过 conda）
是否有任何 docker 容器或可复制的方法来安装像 bob.learn.em 这样的 bob 和 bob 包？
anaconda3 容器内的错误，
docker pull continuumio/anaconda3
Using default tag: latest
latest: Pulling from continuumio/anaconda3
7d63c13d9b9b: Pull complete
49c20f8a042a: Pull complete
Digest: sha256:d7b270f0460d03956a8bcc4d8bffe2426eec5d260fd5256e0a197d0e2e2f7941
Status: Downloaded newer image for continuumio/anaconda3:latest
SYS-1029GQ-TVRT:~$ docker run -i -t continuumio/anaconda3 /bin/bash
(base) root@b29e88642f09:/# ls
bin dev home lib64 mnt proc run srv tmp var
boot etc lib media opt root sbin sys usr
(base) root@b29e88642f09:/# ls
bin dev home lib64 mnt proc run srv tmp var
boot etc lib media opt root sbin sys usr
(base) root@b29e88642f09:/# conda --version
conda 4.10.1
(base) root@b29e88642f09:/# conda update -n base -c defaults conda
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: /opt/conda
added / updated specs:
- conda
The following packages will be downloaded:
package | build
---------------------------|-----------------
conda-4.10.3 | py38h06a4308_0 2.9 MB
xmltodict-0.12.0 | pyhd3eb1b0_0 13 KB
------------------------------------------------------------
Total: 2.9 MB
The following packages will be UPDATED:
conda 4.10.1-py38h06a4308_1 --> 4.10.3-py38h06a4308_0
The following packages will be DOWNGRADED:
xmltodict 0.12.0-py_0 --> 0.12.0-pyhd3eb1b0_0
Proceed ([y]/n)? y
Downloading and Extracting Packages
xmltodict-0.12.0 | 13 KB | ##################################### | 100%
conda-4.10.3 | 2.9 MB | ##################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(base) root@b29e88642f09:/# conda config --set show_channel_urls True
(base) root@b29e88642f09:/# conda create --name bob_env1 --override-channels \
-c https://www.idiap.ch/software/bob/conda -c defaults \
python=3 bob.learn.em
Collecting package metadata (current_repodata.json): done
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: \
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed \
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Output in format: Requested package -> Available versions
Package python conflicts for:
python=3
bob.learn.em -> python[version='2.7.*|3.5.*|3.6.*|>=2.7,<2.8.0a0|>=3.6,<3.7.0a0|>=3.7,<3.8.0a0|>=3.8,<3.9.0a0|3.4.*']
bob.learn.em -> boost[version='>=1.73.0,<1.73.1.0a0'] -> python[version='>=3.10,<3.11.0a0|>=3.9,<3.10.0a0|>=3.5,<3.6.0a0']The following specifications were found to be incompatible with your system:
- feature:/linux-64::__glibc==2.31=0
- feature:|@/linux-64::__glibc==2.31=0
- bob.learn.em -> bob.extension[version='>=6.0.0,<7.0a0'] -> __glibc[version='>=2.17|>=2.17,<3.0.a0']
Your installed version is: 2.31
(base) root@b29e88642f09:/# conda create -n bdt -c https://www.idiap.ch/software/bob/conda bob.devtools
Collecting package metadata (current_repodata.json): done
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: -
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError:
(base) root@b29e88642f09:/# conda install \
-c https://www.idiap.ch/software/bob/conda \
-c defaults \
-c https://www.idiap.ch/software/bob/conda/label/archive \
bob=4.0.0 bob.io.base
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: |
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:
Specifications:
- bob.io.base -> python[version='>=3.10,<3.11.0a0|>=3.9,<3.10.0a0|>=3.5,<3.6.0a0']
- bob=4.0.0 -> python[version='>=2.7,<2.8.0a0|>=3.6,<3.7.0a0']
Your python: python=3.8
If python is on the left-most side of the chain, that's the version you've asked for.
When python appears to the right, that indicates that the thing on the left is somehow
not available for the python version you are constrained to. Note that conda will not
change your python version to a different minor version unless you explicitly specify
that.
The following specifications were found to be incompatible with each other:
Output in format: Requested package -> Available versions
Package certifi conflicts for:
bob=4.0.0 -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']
bob.io.base -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']
Package _libgcc_mutex conflicts for:
python=3.8 -> libgcc-ng[version='>=7.5.0'] -> _libgcc_mutex[version='*|0.1',build=main]
bob.io.base -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex[version='*|0.1',build=main]The following specifications were found to be incompatible with your system:
- feature:/linux-64::__glibc==2.31=0
- feature:|@/linux-64::__glibc==2.31=0
- bob.io.base -> bob.extension[version='>=6.0.0,<7.0a0'] -> __glibc[version='>=2.17|>=2.17,<3.0.a0']
Your installed version is: 2.31
(base) root@b29e88642f09:/# ls
bin dev home lib64 mnt proc run srv tmp var
boot etc lib media opt root sbin sys usr
(base) root@b29e88642f09:/# mkdir bob
(base) root@b29e88642f09:/# cd bob
(base) root@b29e88642f09:/bob# wget https://www.idiap.ch/software/bob/docs/bob/docs/stable/_downloads/fb6ec72cab2ebaf2fbd8a4717d139e29/v300py36.yaml
--2021-10-21 16:35:26-- https://www.idiap.ch/software/bob/docs/bob/docs/stable/_downloads/fb6ec72cab2ebaf2fbd8a4717d139e29/v300py36.yaml
Resolving www.idiap.ch (www.idiap.ch)... 192.33.221.201
Connecting to www.idiap.ch (www.idiap.ch)|192.33.221.201|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 7020 (6.9K) [application/octet-stream]
Saving to: ‘v300py36.yaml’
v300py36.yaml 100%[===================>] 6.86K --.-KB/s in 0s
2021-10-21 16:35:28 (18.7 MB/s) - ‘v300py36.yaml’ saved [7020/7020]
(base) root@b29e88642f09:/bob# ls
v300py36.yaml
(base) root@b29e88642f09:/bob# conda env create --file v300py36.yaml
Collecting package metadata (repodata.json): done
Solving environment: failed
ResolvePackageNotFound:
- ncurses==5.9=10
- yaml==0.1.6=0
- cython==0.25.2=py36_0
- pyyaml==3.12=py36_0
- icu==54.1=0
- sqlite==3.13.0=0
- pkg-config==0.28=1
- numpy==1.12.1=py36_0
- alabaster==0.7.10=py36_0
- decorator==4.1.2=py36_0
- html5lib==0.9999999=py36_0
- mpc==1.0.3=0
- path.py==10.3.1=py36_0
- pcre==8.39=1
- libpng==1.6.27=0
- pandocfilters==1.4.2=py36_0
- lmdb==0.9.21=0
- libffi==3.2.1=1
- six==1.10.0=py36_0
- ipython==5.3.0=py36_0
- certifi==2016.2.28=py36_0
- fontconfig==2.12.1=3
- requests==2.14.2=py36_0
- scikit-learn==0.18.1=np112py36_1
- pip==9.0.1=py36_1
- sip==4.18=py36_0
- bzip2==1.0.6=3
- simplegeneric==0.8.1=py36_1
- llvmlite==0.18.0=py36_0
- boost==1.61.0=py36_0
- jupyter_client==5.1.0=py36_0
- jupyter_console==5.2.0=py36_0
- markupsafe==1.0=py36_0
- wheel==0.29.0=py36_0
- entrypoints==0.2.3=py36_0
- zeromq==4.1.5=0
- olefile==0.44=py36_0
- libiconv==1.14=0
- coverage==4.3.4=py36_0
- h5py==2.7.0=np112py36_0
- pywavelets==0.5.2=np112py36_0
- notebook==5.0.0=py36_0
- cytoolz==0.8.2=py36_0
- dbus==1.10.20=0
- gflags==2.2.0=1
- matplotlib==2.0.2=np112py36_0
- mistune==0.7.4=py36_0
- tornado==4.5.2=py36_0
- toolz==0.8.2=py36_0
- libtiff==4.0.6=3
- backports.weakref==1.0rc1=py36_0
- bokeh==0.12.7=py36_0
- dask==0.14.3=py36_1
- libgcc==4.8.5=2
- ipykernel==4.6.1=py36_0
- protobuf==3.2.0=py36_0
- glib==2.50.2=1
- ipywidgets==6.0.0=py36_0
- numba==0.33.0=np112py36_0
- bleach==1.5.0=py36_0
- leveldb==1.20=0
- widgetsnbextension==3.0.2=py36_0
- cloudpickle==0.4.0=py36_0
- numexpr==2.6.2=np112py36_0
- pexpect==4.2.1=py36_0
- pyqt==5.6.0=py36_2
- gmp==6.1.0=0
- libxcb==1.12=1
- pyzmq==16.0.2=py36_0
- werkzeug==0.12.2=py36_0
- virtualenv==15.1.0=py36_0
- backports==1.0=py36_0
- nbconvert==5.2.1=py36_0
- gst-plugins-base==1.8.0=0
- expat==2.1.0=0
- curl==7.52.1=0
- mkl==2017.0.1=0
- jpeg==9b=0
- jinja2==2.9.6=py36_0
- nose==1.3.7=py36_1
- libprotobuf==3.2.0=0
- gcc==4.8.5=7
- libgfortran==3.0.0=1
- tk==8.5.18=0
- hdf5==1.8.17=2
- jupyter==1.0.0=py36_3
- mpfr==3.1.5=0
- caffe==1.0.0rc5=np112py36_0
- pillow==4.1.1=py36_0
- tensorflow==1.2.1=py36_0
- sphinx_rtd_theme==0.2.4=py36_0
- python-gflags==3.1.1=py36_0
- sphinx==1.5.6=py36_0
- jbig==2.1=0
- terminado==0.6=py36_0
- xz==5.2.3=0
- jupyter_core==4.3.0=py36_0
- python==3.6.2=0
- scipy==0.19.0=np112py36_0
- openblas==0.2.19=0
- markdown==2.6.9=py36_0
- setuptools==36.4.0=py36_1
- qt==5.6.2=5
- sqlalchemy==1.1.9=py36_0
- readline==6.2=2
- cmake==3.6.3=0
- pandas==0.20.1=np112py36_0
- freetype==2.5.5=2
- openssl==1.0.2l=0
- gstreamer==1.8.0=0
- ptyprocess==0.5.2=py36_0
- imagesize==0.7.1=py36_0
- zlib==1.2.11=0
- babel==2.5.0=py36_0
- libsodium==1.0.10=0
- snappy==1.1.6=0
- pyparsing==2.2.0=py36_0
- python-dateutil==2.6.1=py36_0
- scikit-image==0.13.0=np112py36_0
- pytz==2017.2=py36_0
- glog==0.3.5=0
- networkx==1.11=py36_0
- python-leveldb==0.194=py36_1
- libxml2==2.9.4=0
如何让它发挥作用？
写了这个简单的 dockerfile。
Dockerfile
FROM continuumio/anaconda3:latest
ARG DEBIAN_FRONTEND=noninteractive
WORKDIR /bob
COPY . /bob/
RUN apt update
RUN apt install -y build-essential libopencv-dev python3-opencv ffmpeg libsndfile1 libsndfile-dev wget git tmux
RUN conda env create -f bob.yml
# Make RUN commands use the new environment:
SHELL ["conda", "run", "-n", "bob", "/bin/bash", "-c"]
RUN conda config --add channels conda-forge
RUN conda install -y -c conda-forge/label/broken bob.learn.em
bob.yml
name: bob
channels:
- conda-forge
dependencies:
- python=3.5
- numpy