https://github.com/shreyas9699/classification-of-aquatic-animals-using-cnn

The main aim of this project was to get the basic insight into what computer vision is and how computers deal with it. I used CIFAR-100 to extract images and fed these images to CNN to classify the images.
https://github.com/shreyas9699/classification-of-aquatic-animals-using-cnn

cnn computer-vision image-classification

Last synced: 7 months ago
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The main aim of this project was to get the basic insight into what computer vision is and how computers deal with it. I used CIFAR-100 to extract images and fed these images to CNN to classify the images.

• Host: GitHub
• URL: https://github.com/shreyas9699/classification-of-aquatic-animals-using-cnn
• Owner: Shreyas9699
• Created: 2020-08-28T17:55:41.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2020-08-28T17:59:37.000Z (about 5 years ago)
• Last Synced: 2023-09-07T10:24:30.161Z (about 2 years ago)
• Topics: cnn, computer-vision, image-classification
• Language: Jupyter Notebook
• Homepage:
• Size: 1.7 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.txt

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README

          
To run the CNN_Model.py on your system you must have

Chainer Module

Keras Module

If not you have to install them before runing the system.

Install instruction,

Chainer:

	Requirements:

		You need to have the following components to use Chainer.

		

		Python:

		Supported Versions: 3.5.2+, 3.6.0+, 3.7.0+ and 3.8.0+.

		NumPy:

		Supported Versions: 1.9, 1.10, 1.11, 1.12, 1.13, 1.14, 1.15, 1.16 and 1.17.

		NumPy will be installed automatically during the installation of Chainer.

	Installation:

		Using pip

		It is recommend to install Chainer via pip:

		$ pip install chainer

Keras:

	Requirements:

		Before installing Keras, please install one of its backend engines: TensorFlow, Theano, or CNTK. 

		Recommend the TensorFlow backend.

	Installation:

		Install Keras from PyPI (recommended)

		$ pip install keras

If any trouble installing visit:

https://docs.chainer.org/en/stable/install.html

https://keras.io/#installation