Main board
Used by the full team to track the general state of project progress.
ISDe project presentation
VisionLab Image Classification Server
A FastAPI web server for classifying prepared and uploaded images, transforming images before inference, computing histograms, and downloading prediction outputs.
Project overview
A browser interface around image classification utilities.
The project extends an image classification server with four delivered features: image histograms, image transformation before classification, downloadable outputs, and uploaded-image classification.
4
assigned issues
4
configured models
1,000
sample images
Main project board used to track issue progress.
Project organization
One main board, issue boards, dedicated branches, and pair programming.
The presentation describes a workflow based on GitHub Boards, one board per issue, one branch per issue, and pair programming for review and shared knowledge.
Issue boards
Each issue had its own board to split the work into smaller subtasks.
Branch workflow
Each issue was developed on a dedicated branch.
Pair programming
Used for constant review and better knowledge sharing across the team.
Four implemented issues
The feature set follows the presentation issue split.
Each issue maps to a visible app flow and to backend helpers in the repository.
Image Histogram
OpenCV reads the image in grayscale, NumPy computes histogram bins, and Chart.js renders the histogram.
Image Transformation
Pillow ImageEnhance adjusts color, brightness, contrast, and sharpness before classification.
Download Results
The app exports prediction output through JSONResponse and StreamingResponse endpoints.
Upload Image
Users can upload a local image, validate it, classify it, and view the result without saving the upload.
Application screens
Core flows shown with presentation screenshots.
The showcase uses screenshots from the project presentation to show the actual browser flows for histogram, transformation, upload, and download outputs.
Contribution
Completed as part of the Industrial Software Development course.
This was a course project for Industrial Software Development, part of the MSc Computer Engineering program context at the University of Cagliari.
Università degli Studi di Cagliari
Facoltà di Ingegneria e Architettura
The project was developed as part of the course program in Cagliari at the Faculty of Engineering and Architecture.