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Object DetectionLearn how to perform object detection using OpenCV, Deep Learning, YOLO, Single Shot Detectors (SSDs), Faster R-CNN, Mask R-CNN, HOG + Linear SVM, Haar cascades, and more using these object detection tutorials and guides.
In this tutorial, you will learn how to perform multi-template matching with OpenCV. Last week you discovered how to utilize OpenCV and the cv2.matchTemplate function for basic template matching. The problem with this approach is that it could only detect…
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In this tutorial, you will learn how to perform template matching using OpenCV and the cv2.matchTemplate function. Other than contour filtering and processing, template matching is arguably one of the most simple forms of object detection: It’s simple to implement,…
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In this tutorial you will learn how to automatically determine ArUco marker type/dictionary with OpenCV and Python. Today’s tutorial is the final part of our three-part series on ArUco marker generation and detection: Generating ArUco markers with OpenCV and Python…
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In this tutorial you will learn how to detect ArUco markers in images and real-time video streams using OpenCV and Python. This blog post is part two in our three-part series on ArUco markers and fiducials: Generating ArUco markers with…
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In this tutorial you will learn how to generate ArUco markers using OpenCV and Python. Today’s blog post is part one in our three-part series on ArUCo markers and fiducials: Generating ArUco markers with OpenCV and Python (today’s post) Detecting…
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In this tutorial, you will learn how to perform AprilTag detection with Python and the OpenCV library. AprilTags are a type of fiducial marker. Fiducials, or more simply “markers,” are reference objects that are placed in the field of view…
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In this tutorial, you will learn how to train a custom multi-class object detector using bounding box regression with the Keras and TensorFlow deep learning libraries. Last week’s tutorial covered how to train single-class object detector using bounding box regression.…
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In this tutorial you will learn how to train a custom deep learning model to perform object detection via bounding box regression with Keras and TensorFlow. A dataset with images annotated with bounding boxes and class labels is essential for…
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In this tutorial, you will learn how to build an R-CNN object detector using Keras, TensorFlow, and Deep Learning. Today’s tutorial is the final part in our 4-part series on deep learning and object detection: Part 1: Turning any CNN…
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