Day and night image classifier using 100 day images and 100 night images
Overview Using Anaconda consists of the following: Install miniconda on your computer, by selecting the latest Python version for your operating system. If you already have conda or miniconda installed, you should be able to skip this step and move on to step 2. Create and activate * a new conda environment.
- Each time you wish to work on any exercises, activate your conda environment!
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Installation Install latest miniconda
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Create and Activate the Environment
conda install git
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Clone the repository and navigate to the downloaded folder.
git clone https://github.com/udacity/CVND_Exercises.git cd CVND_Exercises/1_1_Image_Representation jupyter notebook -
Create an enviroment
conda create --name cv-nd python=3.6
activate cv-nd
- Install required pytorch for deep learning
conda install pytorch-cpu -c pytorch
pip install torchvision
- Pip install the requirements
pip install -r requirements.txt
Image dataset http://cs.uky.edu/~jacobs/datasets/amos/