add realtime human detection and count project | Issue #253

[Tusharb331]

Related Issue #253

NOTE: Kindly write in the following format -

Closes #253

Description

This PR introduces a Real-Time Human Counting feature using a TensorFlow-based Faster RCNN Inception v2 model. It supports human detection through images, videos, and camera feeds and provides visualizations such as enumeration and average accuracy plots. Additionally, the feature can generate a crowd report in PDF format.

Type of PR

• [ ] Bug fix
• [X] Feature enhancement
• [ ] Documentation update
• [ ] Other (specify): ___

Screenshots / videos (if applicable)

Checklist:

• [X] I have performed a self-review of my code.
• [X] I have read and followed the Contribution Guidelines.
• [X] I have tested the changes thoroughly before submitting this pull request.
• [X] I have provided relevant issue numbers, screenshots, and videos after making the changes.
• [X] I have commented my code, particularly in hard-to-understand areas.

Additional context:

This enhancement uses a pre-trained Faster RCNN model with TensorFlow to achieve high accuracy in human detection. It provides a detailed report on the detected crowd, making it suitable for real-time applications like crowd management and safety monitoring.

[Tusharb331]

@Aryan-Chharia please consider changing the level to 2 or 3 ... It is a good enough project.

[Aryan-Chharia]

project additions are level 1