ImagePRO-Python

v1.2.2 suspicious
4.0
Medium Risk

Professional & modular image processing library with OpenCV, MediaPipe, and YOLO integration.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package appears to be functional with low direct risks, but the incomplete author information and inactive maintainer raise concerns about potential lack of support and updates.

  • Incomplete author information
  • Inactive maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network interactions for its functionality.
  • Shell: No shell execution patterns detected, indicating no immediate risk of executing arbitrary commands.
  • Metadata: The author information is incomplete and the maintainer seems new or inactive.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: proton.me>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository parsasafaie/ImagePRO appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with ImagePRO-Python 
Create a real-time facial recognition and emotion detection application using the ImagePRO-Python package. This application will utilize webcams or video files as input sources and will perform several key functionalities:

1. **Facial Detection**: Detect faces in real-time from webcam or video feed.
2. **Emotion Recognition**: Identify emotions (happy, sad, angry, etc.) on detected faces.
3. **Enhanced Visualization**: Display the live video feed with overlays showing detected faces and their associated emotions.
4. **Data Logging**: Save logs of recognized emotions over time for analysis.

### Steps to Implement the Application:
1. **Setup Environment**: Install Python, ImagePRO-Python, and any additional dependencies required.
2. **Capture Video Feed**: Use ImagePRO-Python to capture frames from the webcam or video file.
3. **Face Detection**: Apply face detection algorithms from ImagePRO-Python to locate faces within each frame.
4. **Emotion Analysis**: Utilize ImagePRO-Python’s capabilities to analyze facial expressions and determine the current emotion.
5. **Visualization**: Overlay information on the video stream, including bounding boxes around detected faces and labels indicating the recognized emotion.
6. **Logging Emotions**: Record timestamps and corresponding emotions in a log file for future reference.
7. **User Interface**: Develop a simple GUI to display the processed video stream alongside a dashboard showing recent emotional trends.

### Suggested Features:
- **Real-Time Alerts**: Send notifications when certain emotions are detected.
- **Customizable Settings**: Allow users to adjust settings such as sensitivity levels and notification preferences.
- **Historical Data Analysis**: Provide tools to visualize logged data over time, helping users understand patterns and trends.

### How to Utilize ImagePRO-Python:
- Leverage ImagePRO-Python’s integrated modules for efficient face detection and emotion recognition.
- Employ ImagePRO-Python’s advanced visualization tools to enhance the user experience.
- Use ImagePRO-Python’s robust logging capabilities to streamline data collection and analysis.