Added CFAR and CCL feeders

[kjy000329]

Added Constant False Alarm Rate (CFAR) and Connected Component Labeling (CCL) feeders, that perform post processing of frames generated by frame readers.

Note: This PR depends on #492 and will be re-based.

[codecov]

Codecov Report

Merging #494 (e9cf259) into main (30addea) will decrease coverage by 0.55%.
The diff coverage is 10.20%.

❗ Current head e9cf259 differs from pull request most recent head 4e7781b. Consider uploading reports for the commit 4e7781b to get more accurate results

@@            Coverage Diff             @@
##             main     #494      +/-   ##
==========================================
- Coverage   94.34%   93.79%   -0.56%     
==========================================
  Files         154      155       +1     
  Lines        7344     7393      +49     
  Branches     1397     1406       +9     
==========================================
+ Hits         6929     6934       +5     
- Misses        313      357      +44     
  Partials      102      102              

Flag	Coverage Δ
integration	68.15% <0.00%> (-0.49%)	⬇️
unittests	91.15% <10.20%> (-0.55%)	⬇️

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Impacted Files	Coverage Δ
stonesoup/feeder/image.py	10.20% <10.20%> (ø)

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[sdhiscocks]

One change needed for dependencies, but otherwise looks good 👍

[sdhiscocks]

I think this may be better in extra_requires. There are examples for this for video/tensorflow.
You can raise a warning on the relevant imports, like the tensorflow notebooks.

Stone-Soup/stonesoup/detector/tensorflow.py

Lines 5 to 13 in c806374

	try:
	import tensorflow as tf
	from object_detection.utils import label_map_util as lm_util
	except ImportError as error:
	raise ImportError(
	"Usage of the TensorFlow detectors requires that TensorFlow and the TensorFlow Object "
	"Detection API are installed. A quick guide on how to set these up can be found here: "
	"https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/install.html")\
	from error

[sglvladi]

@sdhiscocks Thanks for the comment. I'll be picking up this PR, since Charlotte has now finished her internship. Do you think this should go under the video extras?

[sdhiscocks]

Either video or many a new group. video may be best, so we don't have too many, and it makes sense for opencv

[sdhiscocks]

Just spotted that the pickle files are fairly large. Wonder if there is an alternative? numpy.savez? Or maybe check properties of the resultant array (sum of array or diagonal matches expects)?

[sdhiscocks]

numpy.savez?

Compressed option numpy.savez_compressed

[sglvladi]

Just spotted that the pickle files are fairly large. Wonder if there is an alternative? numpy.savez? Or maybe check properties of the resultant array (sum of array or diagonal matches expects)?

@sdhiscocks Good spot! I have cropped the test image, which leads to reduced size of the image file and replaced the pickle files with the actual expected images, which are much smaller. Hope this does the trick. I also noticed that there was no documentation for the introduced classes, so I've added that as well.