ModuleNotFounderror No Module Named Pycocotools

The ModuleNotFounderror No Module Named Pycocotools error occurs when our Python program is not able to load the functions or files from the Pycocotools module. The reason for not being able to load files might be having not installed Pycocotools or a broken installation. In this article, we will discuss how we can solve the ModuleNotFounderror: No Module Named Pycocotools error using various methods. Moreover, we will also discuss possible reasons for getting this error. If you have any questions related to the error or the solution, please let us know through comments and we will try to help you.

ModuleNotFounderror-No-Module-Named-Pycocotools

Solve ModuleNotFounderror: No Module Named Pycocotools in Python

Pycocotools is a Python API that helps in loading, parsing, and visualizing the annotations in COCO. One reason for getting ModuleNotFounderror: No Module Named Pycocotools error is that our Python program is not able to import the files from the Pycocotools module. This could be caused by either missing the Pycocotools module or crashing it. The easiest way to solve the problem is to install the module if you haven’t installed it yet or to upgrade the module if it has crashed.

In this section, we will discuss how you can install the Pycocotools on your system using various methods.

Installing Pycocotools

One of the most common ways of installing modules in Python is using the pip command. The pip command helps us to install any Python module on our system.

You can use the following pip commands to install the Pycocotools on Windows and Linux operating systems.

# for windows 
pip install git+https://github.com/philferriere/cocoapi.git#egg=pycocotools^&subdirectory=PythonAPI

# for Linux
pip install git+https://github.com/waleedka/cocoapi.git#egg=pycocotools&subdirectory=PythonAPI

Based on your operating system, you can use any of the given commands to install the Pycocotools on your system.

Installing Pycocotools on Jupyter Notebook and Anaconda

If you are using Jupyter Notebook or Anaconda environment, then you can use the following commands to install the Pycocotools on your system.

For Anaconda users:

conda install -c conda-forge pycocotools

For Jupyter notebook:

pip install git+https://github.com/waleedka/cocoapi.git#egg=pycocotools&subdirectory=PythonAPI

Hopefully, these commands will help you to solve the problem.

Alternative commands for installation of Pycocotools

If none of the above-mentioned commands didn’t help you in the installation of Pycocotools, then you can install the module using any of the given alternative commands.

Using pip command:

pip install pycocotools

For Windows:

pip install pycocotools-windows

If you already have installed the Pycocotools and want to upgrade the version, then you can use the following commands:

pip install pycocotools --upgrade

Hopefully, these methods will help you to solve the issue.

Reasons for getting ModuleNotFounderror: No Module Named Pycocotools Error

We have already discussed some main reasons for getting ModuleNotFounderror: No Module Named Pycocotools error. However, there are many other possible reasons for getting the error as well which are mentioned below:

  • The error can be caused by a broken installation or not installing the module on your system properly.
  • If you have installed the module incorrectly, then again most probably you will get this error.
  • The error can also occur because of the PATH issue so make sure you fixed the path issue.
  • The error ModuleNotFounderror: No Module Named Pycocotools can also occur because of conflict in the versions of the installed module and the Python script that you are using.
  • Maybe you have installed the module globally and then tried to use the module on the virtual system without again installing the module.

Summary

In this short article, we discussed how we can solve the ModuleNotFounderror: No Module Named Pycocotools error using various methods. We discussed that the error occurs when we try to import the module which is not yet installed on our system and it can be solved by installing the module on our system before using it.

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