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"-6ren"> "-我正在尝试下载 Kinetics-600 数据集以进行事件识别,为此我按照此存储库中的说明进行操作:https://github.com/activitynet/ActivityNet 但是,在步骤 -6ren">
我正在尝试下载 Kinetics-600 数据集以进行事件识别,为此我按照此存储库中的说明进行操作:https://github.com/activitynet/ActivityNet
但是,在步骤 conda env create -f environment.yml
我收到此错误:
ruamel_yaml.constructor.ConstructorError: could not determine aconstructor for the tag 'tag:yaml.org,2002:python/tuple' in "", line 2, column 11: channels: !!python/tuple
(base) /mnt/disks/mona/ActivityNet/Crawler/Kinetics$ conda env create -f environment.yml
# >>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<<
Traceback (most recent call last):
File "/opt/conda/lib/python3.7/site-packages/conda/exceptions.py", line 1079, in __call__
return func(*args, **kwargs)
File "/opt/conda/lib/python3.7/site-packages/conda_env/cli/main.py", line 80, in do_call
exit_code = getattr(module, func_name)(args, parser)
File "/opt/conda/lib/python3.7/site-packages/conda_env/cli/main_create.py", line 87, in execute
spec = specs.detect(name=name, filename=filename, directory=os.getcwd())
File "/opt/conda/lib/python3.7/site-packages/conda_env/specs/__init__.py", line 43, in detect
if spec.can_handle():
File "/opt/conda/lib/python3.7/site-packages/conda_env/specs/yaml_file.py", line 18, in can_handle
self._environment = env.from_file(self.filename)
File "/opt/conda/lib/python3.7/site-packages/conda_env/env.py", line 160, in from_file
return from_yaml(yamlstr, filename=filename)
File "/opt/conda/lib/python3.7/site-packages/conda_env/env.py", line 141, in from_yaml
data = yaml_safe_load(yamlstr)
File "/opt/conda/lib/python3.7/site-packages/conda/common/serialize.py", line 67, in yaml_safe_load
return yaml.safe_load(string, version="1.2")
File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/main.py", line 980, in safe_load
return load(stream, SafeLoader, version)
File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/main.py", line 935, in load
return loader._constructor.get_single_data()
File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 108, in get_single_data
return self.construct_document(node)
File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 118, in construct_document
for _dummy in generator:
File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 691, in construct_yaml_map
value = self.construct_mapping(node)
File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 418, in construct_mapping
return BaseConstructor.construct_mapping(self, node, deep=deep)
File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 242, in construct_mapping
value = self.construct_object(value_node, deep=deep)
File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 164, in construct_object
data = constructor(self, node)
File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 711, in construct_undefined
node.start_mark,
ruamel_yaml.constructor.ConstructorError: could not determine a constructor for the tag 'tag:yaml.org,2002:python/tuple'
in "<unicode string>", line 2, column 11:
channels: !!python/tuple
^ (line: 2)
`$ /opt/conda/bin/conda-env create -f environment.yml`
environment variables:
BINARIES_PATH=/opt/deeplearning/binaries
CIO_TEST=<not set>
CONDA_AUTO_UPDATE_CONDA=false
CONDA_DEFAULT_ENV=base
CONDA_EXE=/opt/conda/bin/conda
CONDA_MKL_INTERFACE_LAYER_BACKUP=
CONDA_PREFIX=/opt/conda
CONDA_PROMPT_MODIFIER=(base)
CONDA_PYTHON_EXE=/opt/conda/bin/python
CONDA_ROOT=/opt/conda
CONDA_SHLVL=1
CURL_CA_BUNDLE=<not set>
DL_BIN_PATH=/opt/deeplearning/bin
DL_METADATA_PATH=/opt/deeplearning/metadata
DL_PATH=/opt/deeplearning
ENV_URI_FILE_PATH=/opt/deeplearning/metadata/env_uri
ENV_VERSION_FILE_PATH=/opt/deeplearning/metadata/env_version
FRAMEWORK_FILE_PATH=/opt/deeplearning/metadata/framework
INFOPATH=/home/linuxbrew/.linuxbrew/share/info:
JUPYTER_DEPS_PATH=/opt/deeplearning/jupyter
LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nccl2/lib:/usr/local/cuda/extras/CUPT
I/lib64
MANPATH=/home/linuxbrew/.linuxbrew/share/man:
PATH=/opt/conda/bin:/home/linuxbrew/.linuxbrew/bin:/home/linuxbrew/.linuxbr
ew/sbin:/usr/local/cuda/bin:/opt/conda/bin:/opt/conda/condabin:/usr/lo
cal/bin:/usr/bin:/bin:/usr/local/games:/usr/games
PYTHONPATH=/mnt/disks/mona/SlowFast/slowfast:
REQUESTS_CA_BUNDLE=<not set>
RESTRICTION_TYPE_FILE_PATH=/opt/deeplearning/restriction
SRC_PATH=/opt/deeplearning/src
SSL_CERT_FILE=<not set>
TITLE_FILE_PATH=/opt/deeplearning/metadata/title
TUTORIALS_PATH=/opt/deeplearning/workspace/tutorials
VERSION_FILE_PATH=/opt/deeplearning/metadata/version
WORKSPACE_PATH=/opt/deeplearning/workspace
active environment : base
active env location : /opt/conda
shell level : 1
user config file : /home/mona/.condarc
populated config files : /opt/conda/.condarc
conda version : 4.9.2
conda-build version : not installed
python version : 3.7.8.final.0
virtual packages : __cuda=11.0=0
__glibc=2.28=0
__unix=0=0
__archspec=1=x86_64
base environment : /opt/conda (writable)
channel URLs : https://conda.anaconda.org/conda-forge/linux-64
https://conda.anaconda.org/conda-forge/noarch
https://repo.anaconda.com/pkgs/main/linux-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/r/linux-64
https://repo.anaconda.com/pkgs/r/noarch
package cache : /opt/conda/pkgs
/home/mona/.conda/pkgs
envs directories : /opt/conda/envs
/home/mona/.conda/envs
platform : linux-64
user-agent : conda/4.9.2 requests/2.24.0 CPython/3.7.8 Linux/4.19.0-13-cloud-amd64 debian/10 glibc/2.28
UID:GID : 1016:1017
netrc file : None
offline mode : False
An unexpected error has occurred. Conda has prepared the above report.
If submitted, this report will be used by core maintainers to improve
future releases of conda.
Would you like conda to send this report to the core maintainers?
[y/N]: y
Upload successful.
Thank you for helping to improve conda.
Opt-in to always sending reports (and not see this message again)
by running
$ conda config --set report_errors true
$ conda config --set report_errors true
$ conda env create -f environment.yml
# >>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<<
Traceback (most recent call last):
File "/opt/conda/lib/python3.7/site-packages/conda/exceptions.py", line 1079, in __call__
return func(*args, **kwargs)
File "/opt/conda/lib/python3.7/site-packages/conda_env/cli/main.py", line 80, in do_call
exit_code = getattr(module, func_name)(args, parser)
File "/opt/conda/lib/python3.7/site-packages/conda_env/cli/main_create.py", line 87, in execute
spec = specs.detect(name=name, filename=filename, directory=os.getcwd())
File "/opt/conda/lib/python3.7/site-packages/conda_env/specs/__init__.py", line 43, in detect
if spec.can_handle():
File "/opt/conda/lib/python3.7/site-packages/conda_env/specs/yaml_file.py", line 18, in can_handle
self._environment = env.from_file(self.filename)
File "/opt/conda/lib/python3.7/site-packages/conda_env/env.py", line 160, in from_file
return from_yaml(yamlstr, filename=filename)
File "/opt/conda/lib/python3.7/site-packages/conda_env/env.py", line 141, in from_yaml
data = yaml_safe_load(yamlstr)
File "/opt/conda/lib/python3.7/site-packages/conda/common/serialize.py", line 67, in yaml_safe_load
return yaml.safe_load(string, version="1.2")
File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/main.py", line 980, in safe_load
return load(stream, SafeLoader, version)
File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/main.py", line 935, in load
return loader._constructor.get_single_data()
File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 108, in get_single_data
return self.construct_document(node)
File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 118, in construct_document
for _dummy in generator:
File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 691, in construct_yaml_map
value = self.construct_mapping(node)
File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 418, in construct_mapping
return BaseConstructor.construct_mapping(self, node, deep=deep)
File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 242, in construct_mapping
value = self.construct_object(value_node, deep=deep)
File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 164, in construct_object
data = constructor(self, node)
File "/opt/conda/lib/python3.7/site-packages/ruamel_yaml/constructor.py", line 711, in construct_undefined
node.start_mark,
ruamel_yaml.constructor.ConstructorError: could not determine a constructor for the tag 'tag:yaml.org,2002:python/tuple'
in "<unicode string>", line 2, column 11:
channels: !!python/tuple
^ (line: 2)
`$ /opt/conda/bin/conda-env create -f environment.yml`
environment variables:
BINARIES_PATH=/opt/deeplearning/binaries
CIO_TEST=<not set>
CONDA_AUTO_UPDATE_CONDA=false
CONDA_DEFAULT_ENV=base
CONDA_EXE=/opt/conda/bin/conda
CONDA_MKL_INTERFACE_LAYER_BACKUP=
CONDA_PREFIX=/opt/conda
CONDA_PROMPT_MODIFIER=(base)
CONDA_PYTHON_EXE=/opt/conda/bin/python
CONDA_ROOT=/opt/conda
CONDA_SHLVL=1
CURL_CA_BUNDLE=<not set>
DL_BIN_PATH=/opt/deeplearning/bin
DL_METADATA_PATH=/opt/deeplearning/metadata
DL_PATH=/opt/deeplearning
ENV_URI_FILE_PATH=/opt/deeplearning/metadata/env_uri
ENV_VERSION_FILE_PATH=/opt/deeplearning/metadata/env_version
FRAMEWORK_FILE_PATH=/opt/deeplearning/metadata/framework
INFOPATH=/home/linuxbrew/.linuxbrew/share/info:
JUPYTER_DEPS_PATH=/opt/deeplearning/jupyter
LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nccl2/lib:/usr/local/cuda/extras/CUPT
I/lib64
MANPATH=/home/linuxbrew/.linuxbrew/share/man:
PATH=/opt/conda/bin:/home/linuxbrew/.linuxbrew/bin:/home/linuxbrew/.linuxbr
ew/sbin:/usr/local/cuda/bin:/opt/conda/bin:/opt/conda/condabin:/usr/lo
cal/bin:/usr/bin:/bin:/usr/local/games:/usr/games
PYTHONPATH=/mnt/disks/mona/SlowFast/slowfast:
REQUESTS_CA_BUNDLE=<not set>
RESTRICTION_TYPE_FILE_PATH=/opt/deeplearning/restriction
SRC_PATH=/opt/deeplearning/src
SSL_CERT_FILE=<not set>
TITLE_FILE_PATH=/opt/deeplearning/metadata/title
TUTORIALS_PATH=/opt/deeplearning/workspace/tutorials
VERSION_FILE_PATH=/opt/deeplearning/metadata/version
WORKSPACE_PATH=/opt/deeplearning/workspace
active environment : base
active env location : /opt/conda
shell level : 1
user config file : /home/mona/.condarc
populated config files : /opt/conda/.condarc
/home/mona/.condarc
conda version : 4.9.2
conda-build version : not installed
python version : 3.7.8.final.0
virtual packages : __cuda=11.0=0
__glibc=2.28=0
__unix=0=0
__archspec=1=x86_64
base environment : /opt/conda (writable)
channel URLs : https://conda.anaconda.org/conda-forge/linux-64
https://conda.anaconda.org/conda-forge/noarch
https://repo.anaconda.com/pkgs/main/linux-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/r/linux-64
https://repo.anaconda.com/pkgs/r/noarch
package cache : /opt/conda/pkgs
/home/mona/.conda/pkgs
envs directories : /opt/conda/envs
/home/mona/.conda/envs
platform : linux-64
user-agent : conda/4.9.2 requests/2.24.0 CPython/3.7.8 Linux/4.19.0-13-cloud-amd64 debian/10 glibc/2.28
UID:GID : 1016:1017
netrc file : None
offline mode : False
An unexpected error has occurred. Conda has prepared the above report.
Upload successful.
这是
environment.yml
我用来创建 conda 环境的 repo 中的文件:
name: kinetics
channels: !!python/tuple
- !!python/unicode
'defaults'
dependencies:
- joblib=0.9.4=py27_0
- menpo::ffmpeg=3.1.3=0
- mkl=2017.0.1=0
- numpy=1.12.1=py27_0
- openssl=1.0.2k=1
- pandas=0.19.2=np112py27_1
- pip=9.0.1=py27_1
- python=2.7.13=0
- python-dateutil=2.6.0=py27_0
- pytz=2017.2=py27_0
- readline=6.2=2
- setuptools=27.2.0=py27_0
- six=1.10.0=py27_0
- sqlite=3.13.0=0
- tk=8.5.18=0
- wheel=0.29.0=py27_0
- zlib=1.2.8=3
- pip:
- decorator==4.0.11
- olefile==0.44
- youtube-dl==2017.6.5
prefix: /home/cabaf/.conda/envs/kinetics
最佳答案
看来environment.yml
写在 conda 使用的时候 yaml.load
但它has since switched to yaml.safe_load
:
1.1.1 (2019-03-22)
Remove yaml load warnings by using yaml.safe_load instead of yaml.load.Fix NoneType object is not iterable error when includes is empty.
!!python/tuple
(还有
!!python/unicode
,没有任何作用)来自
environment.yml
但是不清楚为什么它首先存在,它可能会给您带来另一个错误。
!!python/tuple
它指示 YAML 将以下序列加载为列表而不是元组。这样做的一个原因是当加载的值将用于散列数据结构(dict 或 set)时,因为元组是可散列的,而列表则不是。然而,这通常是在值已经在 YAML 文件中使用 a 映射时完成的,这里不是这种情况。
yaml.safe_load
使用安全加载器,它不像旧的“危险”加载器那样调用任意构造函数(因为这是一个安全问题)。因此,您不能使用它加载元组。
关于python - ruamel_yaml.constructor.ConstructorError : could not determine a constructor for the tag 'tag:yaml.org,2002:python/tuple' in "<unicode string>",我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/66609054/
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