{"product_id":"python-computer-vision-for-drone-eleanor-sloane-9798187421398","title":"Python Computer Vision for Drone Projects: Detect Objects, Analyze Aerial Images, and Process Video Frames","description":"\u003cb\u003eTransform Drone Photos and Videos into Useful Visual Data with Python\u003c\/b\u003e\u003cp\u003eDrone 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePython Computer Vision for Drone Projects\u003c\/b\u003e 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.\u003c\/p\u003e\u003cp\u003eYou 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.\u003c\/p\u003e\u003cp\u003eInside this hands-on guide, you will learn how to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eSet up an isolated Python computer-vision workspace\u003c\/li\u003e\n\u003cli\u003eOrganise source photographs, videos, scripts, outputs, and results\u003c\/li\u003e\n\u003cli\u003eLoad, display, crop, resize, convert, and save aerial images\u003c\/li\u003e\n\u003cli\u003eProtect original drone files while creating processed copies\u003c\/li\u003e\n\u003cli\u003eUnderstand RGB, BGR, grayscale, alpha channels, pixels, and resolution\u003c\/li\u003e\n\u003cli\u003eRead drone-image metadata and recognise its limitations\u003c\/li\u003e\n\u003cli\u003eImprove brightness, contrast, sharpness, and low-contrast imagery\u003c\/li\u003e\n\u003cli\u003eReduce noise without destroying useful visual detail\u003c\/li\u003e\n\u003cli\u003eApply thresholding, Canny edge detection, and contour analysis\u003c\/li\u003e\n\u003cli\u003eIdentify visible rooflines, roads, field boundaries, and land features\u003c\/li\u003e\n\u003cli\u003eRead drone video files frame by frame\u003c\/li\u003e\n\u003cli\u003eExtract useful still images from long inspection footage\u003c\/li\u003e\n\u003cli\u003eSplit image data into training, validation, and testing groups\u003c\/li\u003e\n\u003cli\u003eTrain and evaluate a small custom object detector\u003c\/li\u003e\n\u003cli\u003eRead GeoTIFF files using Python\u003c\/li\u003e\n\u003cli\u003eWork with coordinates, raster data, masks, and geospatial layers\u003c\/li\u003e\n\u003cli\u003eEstimate visual coverage and approximate areas responsibly\u003c\/li\u003e\n\u003cli\u003eExport counts, measurements, and detection results to CSV\u003c\/li\u003e\n\u003cli\u003eBatch-process multiple images with a repeatable workflow\u003c\/li\u003e\n\u003cli\u003eGenerate processed images, tables, charts, and project summaries\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003ePractical 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.\u003c\/p\u003e\u003cp\u003eThe 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.\u003c\/p\u003e\u003cp\u003eWhether 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eProcess the footage. Detect useful features. Validate the results. Turn aerial data into information people can review and use.\u003c\/b\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Eleanor Sloane\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798187421398\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 07\/15\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 222\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.60lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.00h x 6.00w x 0.56d","brand":"Eleanor Sloane","offers":[{"title":"Paperback","offer_id":48997940658431,"sku":"9798187421398","price":18.99,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/python-computer-vision-for-drone-eleanor-sloane-9798187421398","provider":"WR Book House","version":"1.0","type":"link"}