Detecting and Recognizing known faces in an image using OpenCv and face-recognition libraries in python.
Using Python, Pandas and Matplotlib Libraries we analyse the market situation to define the relations between the the independent variables or features of the data set.
In this tutorial, we will build a baseline model (Emojifier-V1). We are going to use word vector representations to build an Emojifier.
This project is developed using numpy,opencv and deque data structure. In Virtual Board we can write anything in air only we have to set HSV (Note:Default HSV set in Blue in Color)
Using Python In Covid analysis we analyse not the reason but how to prevent this pandemic. To understand how to prevent this pandemic we use analysing the data set using Python.
Facial Keypoints Detection Using Convolutional Neural Networks Model. Design 8 Selfie filter Effects using the output of Facial Keypoints Detection model and OpenCV.
The details of Samsung mobile phones from flipkart are scraped using Beautiful Soup and saved in a CSV file.
A document scanner is a model based on OpenCV. It takes video as an input and scans the document present in the video and then zooms it and shows the clear text on the document.
This model is based on OpenCV. Here the live video is captured and if the cloak/any material of any selected color is in the video it shows the background in that particular region.
It is an NLP model. It is written in Python. This model is built on a simple dataset. Here the dependencies are Nltk and TensorFlow.It's a source code.
Using webcam as a live source, detecting your face expression, having trained on the kaggle facial expression dataset using Tensorflow, Keras, convolution neural networks in Python.
Detecting multiple objects with Python as code base and using OpenCV library. The trained datasets are obtained from YOLOv3