build(deps): update faster-coco-eval requirement from ==1.5.* to ==1.6.* in /requirements

[dependabot]

Updates the requirements on faster-coco-eval to permit the latest version.

Release notes

Sourced from faster-coco-eval's releases.

1.6.0

v1.6.0

• Rework mask_api with pybind11 C++ .
• Rework RLE support.
• Create test files for all components.
• The math_matches function has been reworked, with an emphasis on using C++ code.
• Added more documentation of functions. Optimized existing ones.
• Added rleToBoundary func with 2 backend ["mask_api", "opencv"]
• IoU type boundary support (further testing is needed)
• Create async rle and boundary comput discussion

Changelog

Sourced from faster-coco-eval's changelog.

v1.6.0

• Rework mask_api with pybind11 C++ .
• Rework RLE support.
• Create test files for all components.
• The math_matches function has been reworked, with an emphasis on using C++ code.
• Added more documentation of functions. Optimized existing ones.
• Added rleToBoundary func with 2 backend ["mask_api", "opencv"]
• IoU type boundary support (further testing is needed)
• Create async rle and boundary comput discussion

v1.5.7

• Compare COCOEval bug fix.

v1.5.6

• Replace CED MSE curve with MAE (px) curve
• Add CED examples
• Display IoU and MAE for keypoints
• Reworked eval._prepare to clear up the return flow
• Reworked the C++ part of COCOevalEvaluateImages and COCOevalAccumulate
  • Add new COCOevalEvaluateAccumulate to combine these two calls. You can use old style separate_eval==True (default=False)
  • COCOevalAccumulate & COCOevalEvaluateAccumulate -> COCOeval_faster.eval is now correctly created as numpy arrays.
• Append LVIS dataset support lvis_style=True in COCOeval_faster

cocoEval = COCOeval_faster(cocoGt, cocoDt, iouType, lvis_style=True, print_function=print)
cocoEval.params.maxDets = [300]

v1.5.5

• Add CED MSE curve
• Review tests
• Review COCOeval_faster.math_matches function and COCOeval_faster.compute_mIoU function

v1.5.3 - v1.5.4

• Worked out the ability to work with skeletons and various key points
• eval.state_as_dict Now works for key points

v1.5.2

• Change comparison to colab_example
• append utils with opencv conver_mask_to_poly (extra)
• append drop_cocodt_by_score for extra eval

v1.5.1

... (truncated)

Commits

• af55180 fix
• 61b086e build test
• dff15bf Update test_boundary.py
• fd737d3 Update test_basic.py
• db9c6dc Update build.yml
• f3009a4 Update build.yml
• 56f6bcc Update test_basic.py
• 0aaed08 Update build.yml
• 2f792e4 Update setup.py deprecated 3.6
• e9fcbab Update build.yml deprecated 3.6
• Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

---

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

• @dependabot rebase will rebase this PR
• @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
• @dependabot merge will merge this PR after your CI passes on it
• @dependabot squash and merge will squash and merge this PR after your CI passes on it
• @dependabot cancel merge will cancel a previously requested merge and block automerging
• @dependabot reopen will reopen this PR if it is closed
• @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
• @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
• @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

---

📚 Documentation preview 📚: https://torchmetrics--2750.org.readthedocs.build/en/2750/

[Borda]

@SkafteNicki seems we have some compatibility issues, mind checking:

FAILED unittests/detection/test_map.py::TestMapProperties::test_segm_iou_empty_gt_mask[faster_coco_eval] - KeyError: 0
FAILED unittests/detection/test_map.py::TestMapProperties::test_average_argument[True-faster_coco_eval] - assert False
 +  where False = <built-in method allclose of type object at 0x7fcd9ddc45c0>(tensor([ 0.7228,  0.8000,  0.4545, -1.0000,  0.6505,  0.5660]), tensor([ 0.7228,  0.8000,  0.4545, -1.0000,  0.6505,  0.5505]))
 +    where <built-in method allclose of type object at 0x7fcd9ddc45c0> = torch.allclose