Start a new Notebook and add to it only the code needed to create and show the widgets that you need, and Markdown for any text that you want to appear.
Next install Voila
!pip install voilajupyter serverextension enable voila — sys-prefix
- The first line installs the voila library and application, and
- The Second line connects it to your existing jupyter notebook
To view your notebook as a Voila web application
Replace the word “notebooks” in your browsers URL with “voila/render”. You’ll see the same content as your notebook, but without any of the code cells.
Deploying to Binder <https://mybinder.org>
1. Add your notebook to a GitHub repository. 2. Paste the URL of that repo…
In this article, we are going to take a look at How to deal with Custom PyTorch Dataset.
Custom datasets!! WHY??
Because you can shape it in a way you desire!!!
It is natural that we will develop our way of creating custom datasets while dealing with different Projects.
There are some official custom dataset examples on PyTorch Like here but it seemed a bit obscure to a beginner (like me, back then). The topics which we will discuss are as follows.
- Custom Dataset Fundamentals.
- Using Torchvision Transforms.
- Dealing with pandas (read_csv)
- Embedding Classes into File Names
- Using DataLoader
1. Custom Dataset Fundamentals.
A…
The world’s simplest facial recognition API for Python and the command line
In this article, we’ll explore the ‘face_recognition’ library and implement a face recognition system.
Outline:
- Step 1: Installation
- Step 2: Finding Faces in Image
- Step 3: Identifying Facial Features
- Step 4: Identifying Known Faces
Step 1: Installation:
Requirements
- Python 3.3+ or Python 2.7
- macOS or Linux (Windows not officially supported, but it will work fine)
For windows, First make sure that you have dlib installed. If you don’t have dlib installed. Follow these steps
- Clone the code from GitHub:
git clone https://github.com/davisking/dlib.git- Install with Python Extension:
cd ..
python3 setup.py installAfter this…
Mohammed Maheer
Proficient in Python. Passionate about Data Science, Machine Learning, Deep Learning.
