Prerequisites: Introduction to OpenCV
OpenCV is the huge open-source library for computer vision, machine learning, and image processing and now it plays a major role in real-time operation which is very important in today’s systems. By using it, one can process images and videos to identify objects, faces, or even the handwriting of a human.
Any event usually involves a lot of participants and generating handwritten certificates for each one of them and sending them digitally is a really tedious task. Automating this job can easily save tons of time and manual work and thus also reducing the error rate. This Python script generates certificates with the persons name, reading from an excel file after loading a template certificate in the script.
Below is the implementation.
- Transition from OpenCV 2 to OpenCV 3.x
- Image resizing using Seam carving using OpenCV in Python
- Converting Color video to grayscale using OpenCV in Python
- Negative transformation of an image using Python and OpenCV
- Check if the camera is opened or not using OpenCV-Python
- Python - Process images of a video using OpenCV
- Create Local Binary Pattern of an image using OpenCV-Python
- Log transformation of an image using Python and OpenCV
- Pedestrian Detection using OpenCV-Python
- Display date and time in videos using OpenCV - Python
- Implement Canny Edge Detector in Python using OpenCV
- Feature matching using ORB algorithm in Python-OpenCV
- Multiple Color Detection in Real-Time using Python-OpenCV
- Replace Green Screen using OpenCV- Python
- Point Processing in Image Processing using Python-OpenCV
- Gun Detection using Python-OpenCV
- Create Air Canvas using Python-OpenCV
- Drawing with Mouse on Images using Python-OpenCV
- Detect Cat Faces in Real-Time using Python-OpenCV
- Create a vignette filter using Python - OpenCV
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