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→ Article about extracting text from pages, online documents, and images using OpenCV and Pytesseract in Python. There are different solutions for extracting text from…
→ Detect faces using a pretrained YOLO model, segment the detected regions with the SAM segmentation model, and apply Gaussian blur to the segmented areas. I…
→ Article about using YOLO object detection models with image classification models sequentially, using PyTorch and TensorFlow. Object Detection and Image Classification are two distinct…
→ GUI for detecting objects using color information with OpenCV and Tkinter. When you see the title, you might be surprised or think that I…
→ Aligning images by applying perspective transformation with OpenCV in Python. When dealing with computer vision tasks, most of the time, images are not exactly…
→ Article about tracking moving objects with background subtractors in OpenCV, implemented in python and c++. Close your eyes and just imagine a normal day…
→ YOLO Object Detection GUI that allows users to choose specific detection areas, labels, and adjust confidence values dynamically. With libraries like Ultralytics, training a…
→ A step-by-step guide to training image classification models using TensorFlow Keras with any custom dataset. I wrote 2 articles about training image classification models…
→ Detect objects with YOLO models, and by using detection information, segment these objects with SAM. There are a bunch of segmentation models out there,…
→ Article about detecting objects with pretrained OpenCV Cascade Classifiers implemented in Python. For Object Detection, there are popular models like YOLO, Faster R-CNN, and…
