Search Results for "cv2"

...To get started, simply run pip install -r requirements.txt to download all the necessary libraries. Then to, create a new Django project using django-admin startproject Website1, replacing 'Website1' with the name of your choice. Image-Editor uses Python's cv2 library, which provides an easy and efficient way to work with images and videos, including a wide range of image processing and computer vision algorithms. With cv2, you can easily read, write, filter, and display images, and much more. Image-Editor uses Mediapipe's selfie_segmentation model for background removal in real-time video streams. ...

...Many AICG creators are using Lama Cleaner to clean-up their work. Completely free and open-source, fully self-hosted, supports CPU & GPU. Windows 1-Click Installer, classical image inpainting algorithm powered by cv2. Multiple SOTA AI models, and various inpainting strategies. Run as a desktop application. Interactive Segmentation on any object.

...You can easily remove the background from the image or video or bunch of other stuffs when you can make the background transparent! We basically follow the virtual camera settings from pyvirtualcam. If you do not choose to install virtual camera, it will visualize real-time output with cv2.imshow. Use another checkpoint file. Default is trained with composite dataset and will be automatically downloaded if not available.

Python control code running as a service on a Nano Pi M4 (clone of an Raspberry Pi with multi-core performance), enabling all sky captures and automatic generation of whole videos, an keogram and star trails using the cv2 module.

## Introduction One of the major issue faced while using `cv2`, especially when you are using `jupyter-notebooks`, is to perform `cv2.imshow` the kernel breaks. Apart from this, most of the users are comfortable using matplotlib for display, specially its display in notebook using `%matplotlib inline` magic. This package provides two of the main function, converting the image to a format more suitable in matplotlib, and plotting the image using matplotlib in the notebooks. ## Table of contents * [Setup](#setup) * [Dependencies](#dependencies) * [Contact](#contact) ## Setup ```pip install cv2_plt_imshow``` ## Dependencies * [matplotlib](https://pypi.org/project/matplotlib/) * [cv2](https://pypi.org/project/opencv-python/) ## Contact * [Author](https://rupesh.info/) * [Github](https://github.com/rs9899/cv2_plt_imshow)

Trying python cv2 lib