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Added Marr-Hildreth edge detection algorithm #4640

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Added Marr-Hildreth edge detection algorithm #4640

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@gpapadok gpapadok commented Aug 19, 2021

Describe your change:

  • Add an algorithm?
  • Fix a bug or typo in an existing algorithm?
  • Documentation change?

Checklist:

  • I have read CONTRIBUTING.md.
  • This pull request is all my own work -- I have not plagiarized.
  • I know that pull requests will not be merged if they fail the automated tests.
  • This PR only changes one algorithm file. To ease review, please open separate PRs for separate algorithms.
  • All new Python files are placed inside an existing directory.
  • All filenames are in all lowercase characters with no spaces or dashes.
  • All functions and variable names follow Python naming conventions.
  • All function parameters and return values are annotated with Python type hints.
  • All functions have doctests that pass the automated testing.
  • All new algorithms have a URL in its comments that points to Wikipedia or other similar explanation.
  • If this pull request resolves one or more open issues then the commit message contains Fixes: #{$ISSUE_NO}.

@ghost ghost added awaiting reviews This PR is ready to be reviewed require tests Tests [doctest/unittest/pytest] are required require type hints https://docs.python.org/3/library/typing.html labels Aug 19, 2021
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laplacian_kernel = np.array([[1, 1, 1], [1, -8, 1], [1, 1, 1]])


def gaussian_kernel(sigma):
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Please provide return type hint for the function: gaussian_kernel. If the function does not return a value, please provide the type hint as: def function() -> None:

As there is no test file in this pull request nor any test function or class in the file digital_image_processing/edge_detection/marr_hildreth.py, please provide doctest for the function gaussian_kernel

Please provide type hint for the parameter: sigma

return kernel


def zero_crossing(image, threshold=0):
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Please provide return type hint for the function: zero_crossing. If the function does not return a value, please provide the type hint as: def function() -> None:

As there is no test file in this pull request nor any test function or class in the file digital_image_processing/edge_detection/marr_hildreth.py, please provide doctest for the function zero_crossing

Please provide type hint for the parameter: image

Please provide type hint for the parameter: threshold

return edges


def marr_hildreth(image, sigma=1, threshold=40):
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Please provide return type hint for the function: marr_hildreth. If the function does not return a value, please provide the type hint as: def function() -> None:

As there is no test file in this pull request nor any test function or class in the file digital_image_processing/edge_detection/marr_hildreth.py, please provide doctest for the function marr_hildreth

Please provide type hint for the parameter: image

Please provide type hint for the parameter: sigma

Please provide type hint for the parameter: threshold

@ghost ghost added tests are failing Do not merge until tests pass require tests Tests [doctest/unittest/pytest] are required require type hints https://docs.python.org/3/library/typing.html and removed require tests Tests [doctest/unittest/pytest] are required require type hints https://docs.python.org/3/library/typing.html labels Aug 22, 2021
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Click here to look at the relevant links ⬇️

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Repository:

Python:

Automated review generated by algorithms-keeper. If there's any problem regarding this review, please open an issue about it.

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  • @algorithms-keeper review-all to trigger the checks for all the pull request files, including the modified files. As we cannot post review comments on lines not part of the diff, this command will post all the messages in one comment.

NOTE: Commands are in beta and so this feature is restricted only to a member or owner of the organization.

laplacian_kernel = np.array([[1, 1, 1], [1, -8, 1], [1, 1, 1]])


def gaussian_kernel(sigma):
Copy link

Choose a reason for hiding this comment

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Please provide return type hint for the function: gaussian_kernel. If the function does not return a value, please provide the type hint as: def function() -> None:

As there is no test file in this pull request nor any test function or class in the file digital_image_processing/edge_detection/marr_hildreth.py, please provide doctest for the function gaussian_kernel

Please provide type hint for the parameter: sigma

return kernel


def zero_crossing(image, threshold=0):
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Please provide return type hint for the function: zero_crossing. If the function does not return a value, please provide the type hint as: def function() -> None:

As there is no test file in this pull request nor any test function or class in the file digital_image_processing/edge_detection/marr_hildreth.py, please provide doctest for the function zero_crossing

Please provide type hint for the parameter: image

Please provide type hint for the parameter: threshold

return edges


def marr_hildreth(image, sigma=1, threshold=40):
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Please provide return type hint for the function: marr_hildreth. If the function does not return a value, please provide the type hint as: def function() -> None:

As there is no test file in this pull request nor any test function or class in the file digital_image_processing/edge_detection/marr_hildreth.py, please provide doctest for the function marr_hildreth

Please provide type hint for the parameter: image

Please provide type hint for the parameter: sigma

Please provide type hint for the parameter: threshold

@ghost ghost removed tests are failing Do not merge until tests pass require type hints https://docs.python.org/3/library/typing.html labels Aug 22, 2021
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Click here to look at the relevant links ⬇️

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Repository:

Python:

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algorithms-keeper actions can be triggered by commenting on this PR:

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laplacian_kernel = np.array([[1, 1, 1], [1, -8, 1], [1, 1, 1]])


def gaussian_kernel(sigma: float) -> np.ndarray:
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As there is no test file in this pull request nor any test function or class in the file digital_image_processing/edge_detection/marr_hildreth.py, please provide doctest for the function gaussian_kernel

return kernel


def zero_crossing(image: np.ndarray, threshold: float = 0) -> np.ndarray:
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As there is no test file in this pull request nor any test function or class in the file digital_image_processing/edge_detection/marr_hildreth.py, please provide doctest for the function zero_crossing

return edges


def marr_hildreth(
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As there is no test file in this pull request nor any test function or class in the file digital_image_processing/edge_detection/marr_hildreth.py, please provide doctest for the function marr_hildreth

@ghost ghost added tests are failing Do not merge until tests pass and removed require tests Tests [doctest/unittest/pytest] are required labels Aug 22, 2021
@ghost ghost added the require tests Tests [doctest/unittest/pytest] are required label Aug 22, 2021
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Click here to look at the relevant links ⬇️

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Repository:

Python:

Automated review generated by algorithms-keeper. If there's any problem regarding this review, please open an issue about it.

algorithms-keeper commands and options

algorithms-keeper actions can be triggered by commenting on this PR:

  • @algorithms-keeper review to trigger the checks for only added pull request files
  • @algorithms-keeper review-all to trigger the checks for all the pull request files, including the modified files. As we cannot post review comments on lines not part of the diff, this command will post all the messages in one comment.

NOTE: Commands are in beta and so this feature is restricted only to a member or owner of the organization.

laplacian_kernel = np.array([[1, 1, 1], [1, -8, 1], [1, 1, 1]])


def gaussian_kernel(sigma: float) -> np.ndarray:
Copy link

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

As there is no test file in this pull request nor any test function or class in the file digital_image_processing/edge_detection/marr_hildreth.py, please provide doctest for the function gaussian_kernel

return kernel


def zero_crossing(image: np.ndarray, threshold: float = 0) -> np.ndarray:
Copy link

Choose a reason for hiding this comment

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As there is no test file in this pull request nor any test function or class in the file digital_image_processing/edge_detection/marr_hildreth.py, please provide doctest for the function zero_crossing

return edges


def marr_hildreth(
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As there is no test file in this pull request nor any test function or class in the file digital_image_processing/edge_detection/marr_hildreth.py, please provide doctest for the function marr_hildreth

@ghost ghost removed the tests are failing Do not merge until tests pass label Aug 22, 2021
@ghost ghost added tests are failing Do not merge until tests pass and removed require tests Tests [doctest/unittest/pytest] are required labels Aug 23, 2021
@ghost ghost removed the tests are failing Do not merge until tests pass label Aug 23, 2021
@gpapadok gpapadok changed the title add marr-hildreth edge detection algorithm Added Marr-Hildreth edge detection algorithm Aug 23, 2021
@gpapadok gpapadok closed this Sep 17, 2021
@gpapadok gpapadok deleted the add-marr-hildreth branch September 17, 2021 15:11
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