Vizuara Books
Computer Vision Bootcamp
Free preview available. Sign in and subscribe to unlock the full book.
Vizuara AI Labs · intermediate

Computer Vision Bootcamp

From OpenCV pixels to detection, segmentation, and deployment.

A hands-on tour through modern computer vision: image processing with OpenCV, object detection with the R-CNN family and YOLO, and pixel-level segmentation with Mask R-CNN and U-Net. Every architecture is built, coded from scratch, and shipped as a real project — from a burglar alarm to license-plate recognition and fall detection.

intermediatecomputer-visionobject-detectionsegmentationyoloopencv
37 capsules179 figures~8 hoursby Dr. Raj Dandekar

Read on your Kindle

We'll send this whole book straight to your Kindle — it opens natively, so you can resize the text, read fully offline, and it remembers where you left off. Nothing to download or manage.

Sending to Kindle is for subscribers — subscribe to read the whole library on your Kindle.

00Foundations of Computer Vision4 capsules

Foundations of Computer Vision — 4 chapters.

01What Is Computer Vision?conceptfree14 min02An Image Is a Tensorintuition🔒12 min03The CV Task Landscapeconcept🔒14 min04Your Toolchain: Python, NumPy, OpenCVcode🔒12 min
01OpenCV and Classical Image Processing5 capsules

OpenCV and Classical Image Processing — 5 chapters.

05Reading Images and Videocode🔒13 min06Resizing, Cropping, and Color Spacescode🔒13 min07Blurring and Canny Edge Detectioncode🔒13 min08Drawing and Annotation on Imagescode🔒12 min09Project: A Motion-Based Burglar Alarmproject🔒13 min
02OpenCV Meets Deep Learning3 capsules

OpenCV Meets Deep Learning — 3 chapters.

10Detection, Tracking, Counting, Segmentationconcept🔒13 min11The COCO Dataset and Pretrained YOLOconcept🔒13 min12Project: Real-Time Object Counting on Videoproject🔒14 min
03Object Detection: The R-CNN Family5 capsules

Object Detection: The R-CNN Family — 5 chapters.

13What Object Detection Really Asksconcept🔒13 min14Intersection over Union (IoU)math🔒14 min15R-CNN: Selective Search and Warpsconcept🔒12 min16Fast R-CNN and Faster R-CNNconcept🔒13 min17Project: Faster R-CNN in Colabproject🔒14 min
04Instance Segmentation with Mask R-CNN4 capsules

Instance Segmentation with Mask R-CNN — 4 chapters.

18Detection vs Segmentationconcept🔒11 min19The Mask R-CNN Architectureconcept🔒13 min20RoI Pooling vs RoI Aligndeep-dive🔒13 min21Project: Mask R-CNN for Pedestriansproject🔒11 min
05Semantic Segmentation with U-Net5 capsules

Semantic Segmentation with U-Net — 5 chapters.

22The Encoder-Decoder Ideaintuition🔒13 min23U-Net Architecture and Skip Connectionsconcept🔒13 min24Training U-Net: Loss and Metricsmath🔒14 min25U-Net Variants: Attention, Residual, U-Net++deep-dive🔒14 min26Project: Crack Detection and Hugging Face Hostingproject🔒14 min
06Real-Time Detection with YOLO5 capsules

Real-Time Detection with YOLO — 5 chapters.

27You Only Look Onceconcept🔒14 min28The Grid, Boxes, and Class Probabilitiesmath🔒14 min29Confidence, NMS, and YOLO vs R-CNNconcept🔒14 min30Fine-Tuning YOLOv8 with Transfer Learningcode🔒13 min31Project: License Plate Recognition with OCRproject🔒12 min
07Data, Roboflow, and Shipping Apps4 capsules

Data, Roboflow, and Shipping Apps — 4 chapters.

32Datasets, Annotation, and Roboflowconcept🔒14 min33Training and Roboflow Universecode🔒15 min34Deploying with Streamlitcode🔒14 min35Project: Elderly Fall Detectionproject🔒14 min
08Putting It All Together2 capsules

Putting It All Together — 2 chapters.

36Choosing the Right Architectureintuition🔒13 min37Capstone: Ship Your Own Vision Systemproject🔒13 min

Ratings & reviews

No ratings yet. Yours would be the first.

Sign in to rate this book