IOG serverless function + some fixes

[nmanovic]

resolved #2227, resolved #2684,

Motivation and context

• Implemented IOG serverless function for interactive segmentation. Now it isn't possible to draw a bounding box. Thus you have to add 2 negative points using 2 right clicks on the right mouse button (top left and bottom right corners of the bounding box) and a positive point in the middle of the object.

• Updated nuclio version till 1.5.16
• All nuclio functions can be restarted after reboot (processor file is mounted as volume by nuclio mountMode: volume)
• Interactive functions support negative points now (right click on the mouse button)
• Refactored deploy_cpu.sh script (no code duplication anymore)
• Fixed serverless/tensorflow/matterport/mask_rcnn

How has this been tested?

Manually deployed all functions and tested them.

Checklist

• I submit my changes into the develop branch
• I have added description of my changes into CHANGELOG file
• I have updated the documentation accordingly
• I have added tests to cover my changes
• I have linked related issues (read github docs)
• I have increased versions of npm packages if it is necessary (cvat-canvas,
  cvat-core, cvat-data and cvat-ui)

License

• I submit my code changes under the same MIT License that covers the project.
  Feel free to contact the maintainers if that's a concern.
• I have updated the license header for each file (see an example below)

# Copyright (C) 2020 Intel Corporation
#
# SPDX-License-Identifier: MIT

[bsekachev]

@nmanovic
On Ubuntu 20.04 I have default installed python 3.8.5 and it leads to the next installation issues:

UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:

Specifications:

  - torchvision=0.2 -> python[version='>=2.7,<2.8.0a0|>=3.5,<3.6.0a0|>=3.6,<3.7.0a0|>=3.7,<3.8.0a0']

Your python: python=3.8

If python is on the left-most side of the chain, that's the version you've asked for.
When python appears to the right, that indicates that the thing on the left is somehow
not available for the python version you are constrained to. Note that conda will not
change your python version to a different minor version unless you explicitly specify
that.

The following specifications were found to be incompatible with each other:

Output in format: Requested package -> Available versions

Package _libgcc_mutex conflicts for:
python=3.8 -> libgcc-ng[version='>=7.3.0'] -> _libgcc_mutex=[build=main]
pytorch=0.4 -> libgcc-ng[version='>=5.4.0'] -> _libgcc_mutex=[build=main]

The command I used: nuctl deploy --project-name cvat --path serverless/pytorch/shiyinzhang/iog/nuclio/ --platform local

[bsekachev]

Also there are some issues found by codacy in Python & markdown code

[coveralls]

Coverage decreased (-0.06%) to 69.751% when pulling e76be34 on nm/serverless_iog into 51c3dd8 on develop.

[nmanovic]

@bsekachev , @azhavoro , could you please one more time? It looks like all problems were fixed.

[bsekachev]

Works, but sometime strange.
Very depends on green point position

[bsekachev]

I suppose some headers in the patch were updated incorrect: 2020 -> 2021 instead of 2020-2021. What's more I don't really understand why they updated in files without any other changes

[nmanovic]

Works, but sometime strange.
Very depends on green point position

from abstract for the article: Concretely, we leverage an inside point that is clicked near the object center and two outside points at the symmetrical corner locations (top-left and bottom-right or top-right and bottom-left) of a tight bounding box that encloses the target object.

[nmanovic]

I suppose some headers in the patch were updated incorrect: 2020 -> 2021 instead of 2020-2021. What's more I don't really understand why they updated in files without any other changes

@azhavoro , could you please look at the issue?