Computer Vision CLI
por pcloudhosting
Version 4.13.0 + Free Support on Ubuntu 24.04
Computer Vision CLI 4.13.0 is a command-line interface tool designed for working with computer vision models and image analysis workflows. It enables developers and administrators to perform image processing tasks such as image analysis, object detection, and OCR (Optical Character Recognition) directly from the terminal, without requiring a graphical interface.
The solution supports common computer vision workflows including image classification, text extraction from images, object detection, and integration with cloud-based vision services. It is ideal for AI developers, data engineers, and backend automation systems that require fast and scriptable image analysis capabilities.
Features of Computer Vision CLI:
- Command-line interface for image analysis and processing.
- Supports OCR (text extraction) from images.
- Object detection and image tagging capabilities.
- Integration with cloud AI vision services (Azure compatible).
- Supports batch image processing via scripts.
- Lightweight and automation-friendly for DevOps pipelines.
Usage instructions for Computer Vision CLI
$ sudo su
$ cd /opt/computervision
$ source venv/bin/activate
$ python vision-test.py
Optional CLI version check:
$ python -c "import cv2; print(cv2.__version__)"
Expected version output: 4.13.0
Azure Configuration:
$ export VISION_ENDPOINT="https://YOUR-RESOURCE.cognitiveservices.azure.com/"
$ export VISION_KEY="YOUR_API_KEY"
Run Image Analysis Test:
$ python vision-test.py
Ports Used:
- 443 → Azure AI Vision API communication
- 80 → Optional HTTP downloads
Access Output: Terminal-based execution only (no UI required)
Disclaimer: Computer Vision CLI is a development-focused tool for image processing and AI vision tasks. It is provided “as is” without warranty. Users are responsible for correct configuration of Azure credentials, secure handling of API keys, and proper usage in production environments.