Python Computer Vision for Drone Projects (Paperback)
Idioma: inglés
Editorial: Independently Published, 2026
- Tapa blanda
- Nuevo
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Vendedor de IberLibro desde 12 de octubre de 2005
Condición: Nuevo
EUR 22,90
Cantidad disponible: 1 disponible
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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.…
N° de ref. del artículo 9798187421398
- Título
- Python Computer Vision for Drone Projects (Paperback)
- Autor
- Eleanor Sloane
- Editorial
- Independently Published
- Año de publicación
- 2026
- Estado
- new
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 13
- 9798187421398
Drone 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 workspace
- Organise source photographs, videos, scripts, outputs, and results
- Load, display, crop, resize, convert, and save aerial images
- Protect original drone files while creating processed copies
- Understand RGB, BGR, grayscale, alpha channels, pixels, and resolution
- Read drone-image metadata and recognise its limitations
- Improve brightness, contrast, sharpness, and low-contrast imagery
- Reduce noise without destroying useful visual detail
- Apply thresholding, Canny edge detection, and contour analysis
- Identify visible rooflines, roads, field boundaries, and land features
- Read drone video files frame by frame
- Extract useful still images from long inspection footage
- Split image data into training, validation, and testing groups
- Train and evaluate a small custom object detector
- Read GeoTIFF files using Python
- Work with coordinates, raster data, masks, and geospatial layers
- Estimate visual coverage and approximate areas responsibly
- Export counts, measurements, and detection results to CSV
- Batch-process multiple images with a repeatable workflow
- Generate processed images, tables, charts, and project summaries
Practical 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.
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Vendedor de IberLibro desde 12 de octubre de 2005
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