docs: complete documentation for Ianvs lifelong learning comprehensive example restoration

[abhishek-8081]

Description

Adds comprehensive documentation for the Ianvs Lifelong Learning Semantic Segmentation Benchmark restoration completed during LFX Term 3. Includes full issue-resolution logs, day-wise implementation notes, and validated benchmark results.

Summary

• 17/17 issues resolved
• Metrics validated: Accuracy 0.72, mIoU 0.69, fwIoU 0.71
• Multi-round execution enabled

Fixes

Fixes: #287, #263, #230

Additional Context

Org: KubeEdge
Mentors: @MooreZheng @hsj576
Program: LFX Term 3

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[gemini-code-assist]

Summary of Changes

Hello @abhishek-8081, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request delivers a complete restoration and enhancement of the Ianvs lifelong learning semantic segmentation benchmark. It addresses numerous critical issues, ranging from Python API deprecations and incorrect file paths to complex multi-round execution logic and metric calculation errors. The primary outcome is a fully operational and well-documented benchmark, ready for use in CPU-only environments, providing accurate and reliable results for lifelong learning research and development.

Highlights

• Comprehensive Documentation: Added extensive documentation for the Ianvs Lifelong Learning Semantic Segmentation Benchmark restoration, including issue resolution logs, day-wise implementation notes, and validated benchmark results.
• Full Issue Resolution: Successfully resolved all 17 identified critical issues that prevented the benchmark from executing properly, achieving a 100% success rate.
• Multi-Round Execution Enabled: The benchmark now fully supports multi-round execution, with knowledge persistence between rounds, after addressing various path translation and class registration problems.
• Validated Metrics: Achieved and validated correct metric calculation for Accuracy (0.72), mIoU (0.69), and fwIoU (0.71), resolving a critical NaN metrics issue.
• CPU-Only Compatibility: Ensured the benchmark is fully compatible with CPU-only systems by removing hardcoded GPU dependencies.

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[abhishek-8081]

Please review this .
@MooreZheng @hsj576

[gemini-code-assist]

Code Review

This pull request adds extensive documentation detailing the restoration of the Ianvs Lifelong Learning Semantic Segmentation Benchmark. The documentation is thorough and well-structured, covering the project's scope, issue resolution logs, and final results. I've identified a few minor issues, such as broken internal links and a typo, which should be addressed to improve the document's quality and readability. Overall, this is a valuable addition that will greatly benefit users and contributors.

[gemini-code-assist]

This internal link appears to be broken. The anchor for the main title # Comprehensive Example Restoration for Ianvs(Robot) - Complete Restoration Documentation should be #comprehensive-example-restoration-for-ianvsrobot---complete-restoration-documentation. All other "Back to Top" links in this document have the same issue and should be corrected as well.

Suggested change

	[Back to Top](#comprehensive-example-restoration-for-ianvs---complete-restoration-documentation)
	[Back to Top](#comprehensive-example-restoration-for-ianvsrobot---complete-restoration-documentation)

[gemini-code-assist]

The title is clear, but for better readability and consistency, consider adding a space between Ianvs and (Robot).

Suggested change

	# Comprehensive Example Restoration for Ianvs(Robot) - Complete Restoration Documentation
	# Comprehensive Example Restoration for Ianvs (Robot) - Complete Restoration Documentation

[gemini-code-assist]

There's a typo in the model name. It should be front_semantic_segmentation_model instead of front_semantic_segamentation_model.

Suggested change

	Model: front_semantic_segamentation_model
	Model: front_semantic_segmentation_model

[hsj576]

Two minor comments:

1. This document belongs in ianvs/docs/guides.
2. We need to add installation instructions for the sedna package here.