How alicyribeiro/qxd0182-visao-computacional-labs works
This repository is a set of computer-vision course labs, not a single application. A learner runs notebooks or the Lab04 script to explore image-processing techniques and view or save results. The workflow spans basic image operations, filtering and color processing, panorama stitching, and content-aware resizing. The README documents these capabilities and the input/output folder convention; notebook internals were not sampled, so links show only that documented workflow.
Main entry points: lab06.ipynb Seam Carving · lab1.ipynb Geometry and Chroma · lab02.ipynb Spatial and Frequency Filters · lab03.ipynb Convolution and Color
Components 21
Image Basics
- Geometry and Chroma
Lab01/lab1.ipynb - Input Images
Lab01/images - Results
Lab01/resultado
Filtering and Color
- Spatial and Frequency Filters
Lab02/lab02.ipynb - Input Images
Lab02/imagens - Results
Lab02/resultado - Convolution and Color
Lab03/lab03.ipynb - Input Images
Lab03/imagens - Results
Lab03/resultado
Panorama Stitching
- Stitching Experiment
Lab04/lab04.ipynb - Homography Script
Lab04/homography.py - Input Images
Lab04/imagens - Results
Lab04/resultado - Descriptor Comparison
Lab05/lab05.ipynb - Input Images
Lab05/imagens - Results
Lab05/resultado
Content-Aware Resizing
- Seam Carving
Lab06/lab06.ipynb - Input Images
Lab06/imagens - Masks
Lab06/mascaras - Results
Lab06/resultado
Other components
- Learner
Connections 21
- Learner → Geometry and Chroma: runs
- Learner → Spatial and Frequency Filters: runs
- Learner → Convolution and Color: runs
- Learner → Stitching Experiment: runs
- Learner → Homography Script: runs
- Learner → Descriptor Comparison: runs
- Learner → Seam Carving: runs
- Input Images → Geometry and Chroma: provides images
- Geometry and Chroma → Results: saves results
- Input Images → Spatial and Frequency Filters: provides images
- Spatial and Frequency Filters → Results: saves results
- Input Images → Convolution and Color: provides images
- Convolution and Color → Results: saves results
- Input Images → Stitching Experiment: provides images
- Stitching Experiment → Results: saves results
- Input Images → Homography Script: provides images
- Input Images → Descriptor Comparison: provides images
- Descriptor Comparison → Results: saves results
- Input Images → Seam Carving: provides images
- Masks → Seam Carving: provides masks
- Seam Carving → Results: saves results