- Intended Audience :: Science/Research
- Programming Language :: Python :: 3 :: Only
- Topic :: Scientific/Engineering :: Artificial Intelligence
- Topic :: Utilities
When you know about this project and you want to new install tf-lambda-resnet to support your project or you get trouble as ModuleNotFoundError: No module named "tf-lambda-resnet" or ImportError: cannot import name "tf-lambda-resnet" in your project, let follow this tutorial to install tf-lambda-resnet
In Windows (CMD):
py -m pip --version
In Unix/macOS:
python3 -m pip --version
Ensure pip, setuptools, and wheel are up to date:
In Windows (CMD):
py -m pip install --upgrade pip setuptools wheel
In Unix/macOS:
python3 -m pip install --upgrade pip setuptools wheel
Optional - If you want to install
In Windows (CMD):
- Install virtualenv - if you installed it, please ignore
py -m pip install --user virtualenv
- Create a virtual environment
py -m venv test_tf-lambda-resnet_env
- Active the virtual environment
test_tf-lambda-resnet_env\Scripts\active
In Unix/macOS:
- Install virtualenv - if you installed it, please ignore
pip3 install virtualenv
- Create a virtual environment
python3 -m venv test_tf-lambda-resnet_env
- Active the virtual environment
source test_tf-lambda-resnet_env/bin/active
To install tf-lambda-resnet on Windows(CMD):
py -m pip install tf-lambda-resnet
To install tf-lambda-resnet on Unix/macOs:
pip install tf-lambda-resnet
Example:
pip install tf-lambda-resnet==0.1.3
Please see the version list below table:
Version | Released date | Command |
---|---|---|
tf-lambda-resnet 0.1.4 | 2020-10-23T19:34:32 | Windows: Unix/macOs:
|
tf-lambda-resnet 0.1.3 | 2020-10-23T19:10:35 | Windows: Unix/macOs:
|
Download the distribution file from tf-lambda-resnet-0.1.4.tar.gz or the specific tf-lambda-resnet version in the below list of distribution
After that, install by command:
On Windows(CMD):
py -m pip install <path_to_tf-lambda-resnet_downloaded_file>
On Unix/macOs:
pip install <path_to_tf-lambda-resnet_downloaded_file>
List distribution:
Project link: