perf: execute annotation rendering in parallel

[ktro2828]

What

This pull request improves the performance of annotation rendering in the t4_devkit/helper/rendering.py module by parallelizing the rendering of 2D and 3D annotations. The main change is the use of the executor to submit annotation rendering tasks concurrently, which should result in faster rendering times for both scenes and instances.

Performance improvements in annotation rendering:

• In the render_scene method, the calls to _render_annotation3ds and _render_annotation2ds are now submitted to self._executor for parallel execution, allowing these tasks to run concurrently and speeding up the rendering process.
• In the render_instance method, the annotation rendering tasks (_render_annotation3ds and _render_annotation2ds) are also submitted in parallel using self._executor, improving efficiency for instance-level rendering.

[github-actions]

☂️ Python Coverage

current status: ❌

Overall Coverage

Lines	Covered	Coverage	Threshold	Status
2649	1836	69%	50%	🟢

New Files

No new covered files...

Modified Files

File	Coverage	Status
t4_devkit/helper/rendering.py	13%	🔴
TOTAL	13%	🔴

updated for commit: f3ec894 by action🐍

[Copilot]

Pull Request Overview

This PR improves annotation rendering performance by parallelizing 2D and 3D annotation rendering tasks using an executor. The changes enable concurrent execution of annotation rendering operations that were previously sequential.

• Replaces sequential annotation rendering with parallel execution using self._executor.submit()
• Fixes a bug where max_time_seconds was incorrectly used instead of max_timestamp_us
• Removes TODO comments about speeding up annotation rendering

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[Copilot]

This line fixes a bug where max_time_seconds was incorrectly used instead of max_timestamp_us. However, the variable name suggests it should be in seconds, but it's being passed to a parameter expecting microseconds. Verify that the parameter naming and units are consistent throughout the codebase.