Batch annotation

[HonzaCuhel]

This PR includes adding batched annotation.

Some benchmarks (NVIDIA L4 24GB GPU):

• 1000 images batch size 1: 0.480s
• 1000 images batch size 2: 0.489s
• 1000 images batch size 4: 0.504s
• 1000 images batch size 8 (max): 0.507s

Set the default batch size to 1.

[github-actions[bot]]

Test Results

  6 files    6 suites   45m 17s :stopwatch:  72 tests  30 :white_check_mark:  42 :zzz: 0 :x: 432 runs  180 :white_check_mark: 252 :zzz: 0 :x:

Results for commit a9eb3445.

:recycle: This comment has been updated with latest results.

[github-actions[bot]]

☂️ Python Coverage

current status: ✅

Overall Coverage

Lines	Covered	Coverage	Threshold	Status
820	391	48%	0%	🟢

New Files

No new covered files...

Modified Files

File	Coverage	Status
datadreamer/dataset_annotation/image_annotator.py	92%	🟢
datadreamer/dataset_annotation/owlv2_annotator.py	72%	🟢
datadreamer/dataset_annotation/utils.py	40%	🟢
datadreamer/pipelines/generate_dataset_from_scratch.py	44%	🟢
TOTAL	62%	🟢

updated for commit: a9eb344 by action🐍

[sokovninn]

@HonzaCuhel could you please add missing docstrings and replace annotate() with annotate_batch() in the examples?

[HonzaCuhel]

Sure thing, I have forgot about it

[HonzaCuhel]

@sokovninn I've updated the example and added the missing docstrings.