Python Computer Vision for Drone Projects (Paperback)

Paperback. Transform Drone Photos and Videos into Useful Visual Data with PythonDrone flights can produce hundreds of aerial photographs and thousands of video frames. Reviewing every file manually is slow, inconsistent, and often overwhelming. With computer vision, you can automate parts of the process, identify visible features, detect objects, analyse movement, measure coverage, and produce organised results for inspection, mapping, agriculture, construction, and research projects.Python Computer Vision for Drone Projects is a practical, beginner-friendly guide to processing aerial images and videos with Python. Rather than overwhelming you with mathematical theory, it teaches computer vision through clear explanations, working scripts, troubleshooting guidance, and realistic drone-related projects.You will begin by creating a clean Python workspace before learning how digital images, pixels, colour channels, metadata, resolution, and video frames work. From there, you will progress through image enhancement, edge detection, motion analysis, object detection, custom model training, geospatial data, measurement, and automated reporting.Inside this hands-on guide, you will learn how to: Set up an isolated Python computer-vision workspaceOrganise source photographs, videos, scripts, outputs, and resultsLoad, display, crop, resize, convert, and save aerial imagesProtect original drone files while creating processed copiesUnderstand RGB, BGR, grayscale, alpha channels, pixels, and resolutionRead drone-image metadata and recognise its limitationsImprove brightness, contrast, sharpness, and low-contrast imageryReduce noise without destroying useful visual detailApply thresholding, Canny edge detection, and contour analysisIdentify visible rooflines, roads, field boundaries, and land featuresRead drone video files frame by frameExtract useful still images from long inspection footageSplit image data into training, validation, and testing groupsTrain and evaluate a small custom object detectorRead GeoTIFF files using PythonWork with coordinates, raster data, masks, and geospatial layersEstimate visual coverage and approximate areas responsiblyExport counts, measurements, and detection results to CSVBatch-process multiple images with a repeatable workflowGenerate processed images, tables, charts, and project summariesPractical projects include an aerial-image viewer, field-boundary detector, video-frame extractor, movement detector, aerial vehicle detector, custom training dataset, GeoTIFF inspector, automated image-analysis report generator, and a complete integrated drone-vision workflow.The book uses practical tools such as OpenCV, NumPy, Matplotlib, Pillow, Ultralytics YOLO, Rasterio, and GeoPandas. Each project includes a defined objective, setup instructions, implementation steps, testing procedures, expected results, and troubleshooting guidance.Whether you are a drone pilot, student, inspection professional, agricultural worker, survey assistant, mapping technician, researcher, hobbyist, or developer, this guide will help you move beyond simply collecting aerial imagery.Process the footage. Detect useful features. Validate the results. Turn aerial data into information people can review and use. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…