[Snyk] Security upgrade opencv-contrib-python from 4.0.0.21 to 4.2.0.32

[snyk-bot]

Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of this project.

Changes included in this PR

• Changes to the following files to upgrade the vulnerable dependencies to a fixed version:
  • requirements.txt

⚠️ Warning

googletrans 3.0.0 requires httpx, which is not installed.

Vulnerabilities that will be fixed

By pinning:

Severity	Priority Score (*)	Issue	Upgrade	Breaking Change	Exploit Maturity
	654/1000 Why? Has a fix available, CVSS 8.8	Buffer Overflow SNYK-PYTHON-OPENCVCONTRIBPYTHON-1731318	opencv-contrib-python: 4.0.0.21 -> 4.2.0.32	No	No Known Exploit
	479/1000 Why? Has a fix available, CVSS 5.3	Out-of-bounds Read SNYK-PYTHON-OPENCVCONTRIBPYTHON-1731322	opencv-contrib-python: 4.0.0.21 -> 4.2.0.32	No	No Known Exploit
	604/1000 Why? Has a fix available, CVSS 7.8	Out-of-bounds Write SNYK-PYTHON-OPENCVCONTRIBPYTHON-1731326	opencv-contrib-python: 4.0.0.21 -> 4.2.0.32	No	No Known Exploit
	539/1000 Why? Has a fix available, CVSS 6.5	Out-of-bounds Read SNYK-PYTHON-OPENCVCONTRIBPYTHON-1731330	opencv-contrib-python: 4.0.0.21 -> 4.2.0.32	No	No Known Exploit
	654/1000 Why? Has a fix available, CVSS 8.8	Buffer Overflow SNYK-PYTHON-OPENCVCONTRIBPYTHON-1731334	opencv-contrib-python: 4.0.0.21 -> 4.2.0.32	No	No Known Exploit
	509/1000 Why? Has a fix available, CVSS 5.9	Division by Zero SNYK-PYTHON-OPENCVCONTRIBPYTHON-1731338	opencv-contrib-python: 4.0.0.21 -> 4.2.0.32	No	No Known Exploit
	624/1000 Why? Has a fix available, CVSS 8.2	Out-of-bounds Read SNYK-PYTHON-OPENCVCONTRIBPYTHON-1731358	opencv-contrib-python: 4.0.0.21 -> 4.2.0.32	No	No Known Exploit
	589/1000 Why? Has a fix available, CVSS 7.5	Out-of-Bounds SNYK-PYTHON-OPENCVCONTRIBPYTHON-1731362	opencv-contrib-python: 4.0.0.21 -> 4.2.0.32	No	No Known Exploit

(*) Note that the real score may have changed since the PR was raised.

Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the affected dependencies could be upgraded.

Check the changes in this PR to ensure they won't cause issues with your project.

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[codecov]

Codecov Report

Base: 52.73% // Head: 22.89% // Decreases project coverage by -29.83% ⚠️

Coverage data is based on head (59d1415) compared to base (4a98107).
Patch has no changes to coverable lines.

Additional details and impacted files

@@             Coverage Diff             @@
##           master      #22       +/-   ##
===========================================
- Coverage   52.73%   22.89%   -29.84%     
===========================================
  Files          61       11       -50     
  Lines        4640      607     -4033     
===========================================
- Hits         2447      139     -2308     
+ Misses       2193      468     -1725     

Impacted Files	Coverage Δ
beagles/io/flags.py	22.58% <0.00%> (-59.68%)	⬇️
beagles/base/flags.py	38.23% <0.00%> (-58.83%)	⬇️
beagles/io/logs.py	33.33% <0.00%> (-58.34%)	⬇️
beagles/io/sharedmemory.py	30.00% <0.00%> (-53.34%)	⬇️
beagles/backend/darknet/layer.py	33.33% <0.00%> (-40.48%)	⬇️
beagles/base/shape.py	0.68% <0.00%> (-37.94%)	⬇️
beagles/backend/darknet/convolution.py	2.63% <0.00%> (-28.08%)	⬇️
beagles/io/obs.py	1.92% <0.00%> (-26.93%)	⬇️
beagles/base/errors.py	50.00% <0.00%> (-7.15%)	⬇️
beagles/ui/functions/machineLearningFunctions.py
... and 49 more

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