Pascalvoc perfomance optimization

[Kuluum]

Problem:

Low performance of get_pascalvoc_metrics on big (100k+ bboxes) dataset (estimation: 6 hours on my machine)

Reason:

for idx_det, det in enumerate(dects): # 100k+ iterations
    ...
    gt = [gt for gt in classes_bbs[c]['gt'] if gt.get_image_name() == img_det] # Filtering 100k+ list
    ...

A large list of gt bboxes is filtered again and again on each detection iteration.

Fix:

Create cache gt bboxes list per image name per class in advance.

Estimation 6 hours -> 6 minutes.

pytest passed.

[github-actions]

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[Kuluum]

@rafaelpadilla ping

[rafaelpadilla]

@Kuluum

I will revert the changes made in this PR due to issue #96

Could you, please, open a new PR fixing that?