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Tests folder added including the test file for the class DiffMotionDetector in the motion_detection.py file #109
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Tests folder added including the test file for the class DiffMotionDetector in the motion_detection.py file
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How to useInstructions
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@CodiumAI-Agent /describe |
@CodiumAI-Agent /improve |
class TestDiffMotionDetector: | ||
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# Tests that the background image is set successfully | ||
def test_set_background_successfully(self): | ||
detector = DiffMotionDetector() | ||
background_image = cv2.imread('background.jpg') | ||
detector.setBackground(background_image) | ||
assert detector.getBackground() is not None | ||
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# Tests that a binary image is returned successfully after the detection process | ||
def test_return_binary_image_successfully(self): | ||
detector = DiffMotionDetector() | ||
background_image = cv2.imread('background.jpg') | ||
foreground_image = cv2.imread('foreground.jpg') | ||
detector.setBackground(background_image) | ||
binary_image = detector.returnMask(foreground_image) | ||
assert binary_image is not None | ||
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# Tests that a background image is set and a binary image is returned successfully after the detection process | ||
def test_set_background_and_return_binary_image_successfully(self): | ||
detector = DiffMotionDetector() | ||
background_image = cv2.imread('background.jpg') | ||
foreground_image = cv2.imread('foreground.jpg') | ||
detector.setBackground(background_image) | ||
binary_image = detector.returnMask(foreground_image) | ||
assert detector.getBackground() is not None and binary_image is not None |
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Suggestion: Refactor the test cases to use a setup method for creating the detector and loading the images. This will avoid repetition and make the tests cleaner.
class TestDiffMotionDetector: | |
# Tests that the background image is set successfully | |
def test_set_background_successfully(self): | |
detector = DiffMotionDetector() | |
background_image = cv2.imread('background.jpg') | |
detector.setBackground(background_image) | |
assert detector.getBackground() is not None | |
# Tests that a binary image is returned successfully after the detection process | |
def test_return_binary_image_successfully(self): | |
detector = DiffMotionDetector() | |
background_image = cv2.imread('background.jpg') | |
foreground_image = cv2.imread('foreground.jpg') | |
detector.setBackground(background_image) | |
binary_image = detector.returnMask(foreground_image) | |
assert binary_image is not None | |
# Tests that a background image is set and a binary image is returned successfully after the detection process | |
def test_set_background_and_return_binary_image_successfully(self): | |
detector = DiffMotionDetector() | |
background_image = cv2.imread('background.jpg') | |
foreground_image = cv2.imread('foreground.jpg') | |
detector.setBackground(background_image) | |
binary_image = detector.returnMask(foreground_image) | |
assert detector.getBackground() is not None and binary_image is not None | |
class TestDiffMotionDetector: | |
@pytest.fixture(autouse=True) | |
def setup(self): | |
self.detector = DiffMotionDetector() | |
self.background_image = cv2.imread('background.jpg') | |
self.foreground_image = cv2.imread('foreground.jpg') | |
def test_set_background_successfully(self): | |
self.detector.setBackground(self.background_image) | |
assert self.detector.getBackground() is not None | |
def test_return_binary_image_successfully(self): | |
self.detector.setBackground(self.background_image) | |
binary_image = self.detector.returnMask(self.foreground_image) | |
assert binary_image is not None | |
def test_set_background_and_return_binary_image_successfully(self): | |
self.detector.setBackground(self.background_image) | |
binary_image = self.detector.returnMask(self.foreground_image) | |
assert self.detector.getBackground() is not None and binary_image is not None |
@CodiumAI-Agent /describe |
TitleAddition of Test Cases for DiffMotionDetector Class in motion_detection.py TypeTests DescriptionThis PR introduces a new test file for the DiffMotionDetector class in the motion_detection.py file. The tests cover various scenarios including setting the background image, returning a binary image after the detection process, handling of None as background or foreground image, and ensuring the correct functioning of the detection process. PR changes walkthrough
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@CodiumAI-Agent /ask What is the best change that can be introduced in this pull request? |
Question: What is the best change that can be introduced in this pull request? Answer: |
@CodiumAI-Agent /improve |
PR Code Suggestions ✨
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@CodiumAI-Agent /help |
PR Agent Walkthrough 🤖Welcome to the PR Agent, an AI-powered tool for automated pull request analysis, feedback, suggestions and more. Here is a list of tools you can use to interact with the PR Agent:
(1) Note that each tool be triggered automatically when a new PR is opened, or called manually by commenting on a PR. (2) Tools marked with [*] require additional parameters to be passed. For example, to invoke the |
This pull request is to incorporate the suggestion provided in the PR #107 and closes issue #77