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Add pep8-naming to pre-commit hooks and fixes incorrect naming conventions (#7062)
* ci(pre-commit): Add pep8-naming to `pre-commit` hooks (#7038) * refactor: Fix naming conventions (#7038) * Update arithmetic_analysis/lu_decomposition.py Co-authored-by: Christian Clauss <cclauss@me.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * refactor(lu_decomposition): Replace `NDArray` with `ArrayLike` (#7038) * chore: Fix naming conventions in doctests (#7038) * fix: Temporarily disable project euler problem 104 (#7069) * chore: Fix naming conventions in doctests (#7038) Co-authored-by: Christian Clauss <cclauss@me.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
Caeden
@ -43,33 +43,33 @@ def canny(image, threshold_low=15, threshold_high=30, weak=128, strong=255):
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or 15 * PI / 8 <= direction <= 2 * PI
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or 7 * PI / 8 <= direction <= 9 * PI / 8
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):
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W = sobel_grad[row, col - 1]
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E = sobel_grad[row, col + 1]
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if sobel_grad[row, col] >= W and sobel_grad[row, col] >= E:
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w = sobel_grad[row, col - 1]
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e = sobel_grad[row, col + 1]
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if sobel_grad[row, col] >= w and sobel_grad[row, col] >= e:
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dst[row, col] = sobel_grad[row, col]
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elif (PI / 8 <= direction < 3 * PI / 8) or (
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9 * PI / 8 <= direction < 11 * PI / 8
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):
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SW = sobel_grad[row + 1, col - 1]
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NE = sobel_grad[row - 1, col + 1]
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if sobel_grad[row, col] >= SW and sobel_grad[row, col] >= NE:
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sw = sobel_grad[row + 1, col - 1]
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ne = sobel_grad[row - 1, col + 1]
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if sobel_grad[row, col] >= sw and sobel_grad[row, col] >= ne:
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dst[row, col] = sobel_grad[row, col]
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elif (3 * PI / 8 <= direction < 5 * PI / 8) or (
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11 * PI / 8 <= direction < 13 * PI / 8
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):
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N = sobel_grad[row - 1, col]
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S = sobel_grad[row + 1, col]
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if sobel_grad[row, col] >= N and sobel_grad[row, col] >= S:
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n = sobel_grad[row - 1, col]
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s = sobel_grad[row + 1, col]
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if sobel_grad[row, col] >= n and sobel_grad[row, col] >= s:
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dst[row, col] = sobel_grad[row, col]
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elif (5 * PI / 8 <= direction < 7 * PI / 8) or (
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13 * PI / 8 <= direction < 15 * PI / 8
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):
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NW = sobel_grad[row - 1, col - 1]
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SE = sobel_grad[row + 1, col + 1]
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if sobel_grad[row, col] >= NW and sobel_grad[row, col] >= SE:
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nw = sobel_grad[row - 1, col - 1]
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se = sobel_grad[row + 1, col + 1]
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if sobel_grad[row, col] >= nw and sobel_grad[row, col] >= se:
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dst[row, col] = sobel_grad[row, col]
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"""
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@ -46,16 +46,16 @@ def bilateral_filter(
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kernel_size: int,
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) -> np.ndarray:
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img2 = np.zeros(img.shape)
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gaussKer = get_gauss_kernel(kernel_size, spatial_variance)
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sizeX, sizeY = img.shape
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for i in range(kernel_size // 2, sizeX - kernel_size // 2):
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for j in range(kernel_size // 2, sizeY - kernel_size // 2):
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gauss_ker = get_gauss_kernel(kernel_size, spatial_variance)
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size_x, size_y = img.shape
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for i in range(kernel_size // 2, size_x - kernel_size // 2):
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for j in range(kernel_size // 2, size_y - kernel_size // 2):
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imgS = get_slice(img, i, j, kernel_size)
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imgI = imgS - imgS[kernel_size // 2, kernel_size // 2]
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imgIG = vec_gaussian(imgI, intensity_variance)
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weights = np.multiply(gaussKer, imgIG)
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vals = np.multiply(imgS, weights)
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img_s = get_slice(img, i, j, kernel_size)
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img_i = img_s - img_s[kernel_size // 2, kernel_size // 2]
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img_ig = vec_gaussian(img_i, intensity_variance)
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weights = np.multiply(gauss_ker, img_ig)
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vals = np.multiply(img_s, weights)
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val = np.sum(vals) / np.sum(weights)
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img2[i, j] = val
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return img2
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@ -11,7 +11,7 @@ import numpy as np
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from matplotlib import pyplot as plt
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class contrastStretch:
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class ConstantStretch:
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def __init__(self):
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self.img = ""
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self.original_image = ""
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@ -45,10 +45,10 @@ class contrastStretch:
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self.img[j][i] = self.last_list[num]
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cv2.imwrite("output_data/output.jpg", self.img)
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def plotHistogram(self):
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def plot_histogram(self):
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plt.hist(self.img.ravel(), 256, [0, 256])
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def showImage(self):
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def show_image(self):
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cv2.imshow("Output-Image", self.img)
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cv2.imshow("Input-Image", self.original_image)
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cv2.waitKey(5000)
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@ -57,7 +57,7 @@ class contrastStretch:
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if __name__ == "__main__":
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file_path = os.path.join(os.path.basename(__file__), "image_data/input.jpg")
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stretcher = contrastStretch()
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stretcher = ConstantStretch()
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stretcher.stretch(file_path)
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stretcher.plotHistogram()
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stretcher.showImage()
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stretcher.plot_histogram()
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stretcher.show_image()
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@ -104,72 +104,72 @@ class IndexCalculation:
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#RGBIndex = ["GLI", "CI", "Hue", "I", "NGRDI", "RI", "S", "IF"]
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"""
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def __init__(self, red=None, green=None, blue=None, redEdge=None, nir=None):
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def __init__(self, red=None, green=None, blue=None, red_edge=None, nir=None):
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# print("Numpy version: " + np.__version__)
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self.setMatrices(red=red, green=green, blue=blue, redEdge=redEdge, nir=nir)
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self.set_matricies(red=red, green=green, blue=blue, red_edge=red_edge, nir=nir)
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def setMatrices(self, red=None, green=None, blue=None, redEdge=None, nir=None):
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def set_matricies(self, red=None, green=None, blue=None, red_edge=None, nir=None):
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if red is not None:
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self.red = red
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if green is not None:
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self.green = green
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if blue is not None:
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self.blue = blue
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if redEdge is not None:
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self.redEdge = redEdge
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if red_edge is not None:
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self.redEdge = red_edge
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if nir is not None:
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self.nir = nir
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return True
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def calculation(
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self, index="", red=None, green=None, blue=None, redEdge=None, nir=None
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self, index="", red=None, green=None, blue=None, red_edge=None, nir=None
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):
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"""
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performs the calculation of the index with the values instantiated in the class
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:str index: abbreviation of index name to perform
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"""
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self.setMatrices(red=red, green=green, blue=blue, redEdge=redEdge, nir=nir)
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self.set_matricies(red=red, green=green, blue=blue, red_edge=red_edge, nir=nir)
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funcs = {
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"ARVI2": self.ARVI2,
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"CCCI": self.CCCI,
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"CVI": self.CVI,
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"GLI": self.GLI,
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"NDVI": self.NDVI,
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"BNDVI": self.BNDVI,
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"redEdgeNDVI": self.redEdgeNDVI,
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"GNDVI": self.GNDVI,
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"GBNDVI": self.GBNDVI,
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"GRNDVI": self.GRNDVI,
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"RBNDVI": self.RBNDVI,
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"PNDVI": self.PNDVI,
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"ATSAVI": self.ATSAVI,
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"BWDRVI": self.BWDRVI,
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"CIgreen": self.CIgreen,
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"CIrededge": self.CIrededge,
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"CI": self.CI,
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"CTVI": self.CTVI,
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"GDVI": self.GDVI,
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"EVI": self.EVI,
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"GEMI": self.GEMI,
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"GOSAVI": self.GOSAVI,
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"GSAVI": self.GSAVI,
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"Hue": self.Hue,
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"IVI": self.IVI,
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"IPVI": self.IPVI,
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"I": self.I,
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"RVI": self.RVI,
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"MRVI": self.MRVI,
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"MSAVI": self.MSAVI,
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"NormG": self.NormG,
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"NormNIR": self.NormNIR,
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"NormR": self.NormR,
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"NGRDI": self.NGRDI,
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"RI": self.RI,
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"S": self.S,
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"IF": self.IF,
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"DVI": self.DVI,
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"TVI": self.TVI,
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"NDRE": self.NDRE,
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"ARVI2": self.arv12,
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"CCCI": self.ccci,
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"CVI": self.cvi,
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"GLI": self.gli,
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"NDVI": self.ndvi,
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"BNDVI": self.bndvi,
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"redEdgeNDVI": self.red_edge_ndvi,
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"GNDVI": self.gndvi,
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"GBNDVI": self.gbndvi,
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"GRNDVI": self.grndvi,
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"RBNDVI": self.rbndvi,
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"PNDVI": self.pndvi,
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"ATSAVI": self.atsavi,
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"BWDRVI": self.bwdrvi,
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"CIgreen": self.ci_green,
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"CIrededge": self.ci_rededge,
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"CI": self.ci,
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"CTVI": self.ctvi,
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"GDVI": self.gdvi,
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"EVI": self.evi,
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"GEMI": self.gemi,
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"GOSAVI": self.gosavi,
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"GSAVI": self.gsavi,
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"Hue": self.hue,
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"IVI": self.ivi,
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"IPVI": self.ipvi,
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"I": self.i,
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"RVI": self.rvi,
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"MRVI": self.mrvi,
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"MSAVI": self.m_savi,
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"NormG": self.norm_g,
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"NormNIR": self.norm_nir,
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"NormR": self.norm_r,
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"NGRDI": self.ngrdi,
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"RI": self.ri,
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"S": self.s,
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"IF": self._if,
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"DVI": self.dvi,
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"TVI": self.tvi,
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"NDRE": self.ndre,
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}
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try:
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@ -178,7 +178,7 @@ class IndexCalculation:
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print("Index not in the list!")
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return False
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def ARVI2(self):
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def arv12(self):
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"""
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Atmospherically Resistant Vegetation Index 2
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https://www.indexdatabase.de/db/i-single.php?id=396
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@ -187,7 +187,7 @@ class IndexCalculation:
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"""
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return -0.18 + (1.17 * ((self.nir - self.red) / (self.nir + self.red)))
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def CCCI(self):
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def ccci(self):
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"""
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Canopy Chlorophyll Content Index
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https://www.indexdatabase.de/db/i-single.php?id=224
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@ -197,7 +197,7 @@ class IndexCalculation:
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(self.nir - self.red) / (self.nir + self.red)
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)
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def CVI(self):
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def cvi(self):
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"""
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Chlorophyll vegetation index
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https://www.indexdatabase.de/db/i-single.php?id=391
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@ -205,7 +205,7 @@ class IndexCalculation:
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"""
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return self.nir * (self.red / (self.green**2))
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def GLI(self):
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def gli(self):
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"""
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self.green leaf index
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https://www.indexdatabase.de/db/i-single.php?id=375
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@ -215,7 +215,7 @@ class IndexCalculation:
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2 * self.green + self.red + self.blue
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)
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def NDVI(self):
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def ndvi(self):
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"""
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Normalized Difference self.nir/self.red Normalized Difference Vegetation
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Index, Calibrated NDVI - CDVI
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@ -224,7 +224,7 @@ class IndexCalculation:
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"""
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return (self.nir - self.red) / (self.nir + self.red)
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def BNDVI(self):
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def bndvi(self):
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"""
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Normalized Difference self.nir/self.blue self.blue-normalized difference
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vegetation index
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@ -233,7 +233,7 @@ class IndexCalculation:
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"""
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return (self.nir - self.blue) / (self.nir + self.blue)
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def redEdgeNDVI(self):
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def red_edge_ndvi(self):
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"""
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Normalized Difference self.rededge/self.red
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https://www.indexdatabase.de/db/i-single.php?id=235
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@ -241,7 +241,7 @@ class IndexCalculation:
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"""
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return (self.redEdge - self.red) / (self.redEdge + self.red)
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def GNDVI(self):
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def gndvi(self):
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"""
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Normalized Difference self.nir/self.green self.green NDVI
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https://www.indexdatabase.de/db/i-single.php?id=401
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@ -249,7 +249,7 @@ class IndexCalculation:
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"""
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return (self.nir - self.green) / (self.nir + self.green)
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def GBNDVI(self):
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def gbndvi(self):
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"""
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self.green-self.blue NDVI
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https://www.indexdatabase.de/db/i-single.php?id=186
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@ -259,7 +259,7 @@ class IndexCalculation:
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self.nir + (self.green + self.blue)
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)
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def GRNDVI(self):
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def grndvi(self):
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"""
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self.green-self.red NDVI
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https://www.indexdatabase.de/db/i-single.php?id=185
|
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@ -269,7 +269,7 @@ class IndexCalculation:
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self.nir + (self.green + self.red)
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)
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|
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def RBNDVI(self):
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def rbndvi(self):
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"""
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self.red-self.blue NDVI
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https://www.indexdatabase.de/db/i-single.php?id=187
|
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@ -277,7 +277,7 @@ class IndexCalculation:
|
||||
"""
|
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return (self.nir - (self.blue + self.red)) / (self.nir + (self.blue + self.red))
|
||||
|
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def PNDVI(self):
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def pndvi(self):
|
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"""
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Pan NDVI
|
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https://www.indexdatabase.de/db/i-single.php?id=188
|
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@ -287,7 +287,7 @@ class IndexCalculation:
|
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self.nir + (self.green + self.red + self.blue)
|
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)
|
||||
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def ATSAVI(self, X=0.08, a=1.22, b=0.03):
|
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def atsavi(self, x=0.08, a=1.22, b=0.03):
|
||||
"""
|
||||
Adjusted transformed soil-adjusted VI
|
||||
https://www.indexdatabase.de/db/i-single.php?id=209
|
||||
@ -295,10 +295,10 @@ class IndexCalculation:
|
||||
"""
|
||||
return a * (
|
||||
(self.nir - a * self.red - b)
|
||||
/ (a * self.nir + self.red - a * b + X * (1 + a**2))
|
||||
/ (a * self.nir + self.red - a * b + x * (1 + a**2))
|
||||
)
|
||||
|
||||
def BWDRVI(self):
|
||||
def bwdrvi(self):
|
||||
"""
|
||||
self.blue-wide dynamic range vegetation index
|
||||
https://www.indexdatabase.de/db/i-single.php?id=136
|
||||
@ -306,7 +306,7 @@ class IndexCalculation:
|
||||
"""
|
||||
return (0.1 * self.nir - self.blue) / (0.1 * self.nir + self.blue)
|
||||
|
||||
def CIgreen(self):
|
||||
def ci_green(self):
|
||||
"""
|
||||
Chlorophyll Index self.green
|
||||
https://www.indexdatabase.de/db/i-single.php?id=128
|
||||
@ -314,7 +314,7 @@ class IndexCalculation:
|
||||
"""
|
||||
return (self.nir / self.green) - 1
|
||||
|
||||
def CIrededge(self):
|
||||
def ci_rededge(self):
|
||||
"""
|
||||
Chlorophyll Index self.redEdge
|
||||
https://www.indexdatabase.de/db/i-single.php?id=131
|
||||
@ -322,7 +322,7 @@ class IndexCalculation:
|
||||
"""
|
||||
return (self.nir / self.redEdge) - 1
|
||||
|
||||
def CI(self):
|
||||
def ci(self):
|
||||
"""
|
||||
Coloration Index
|
||||
https://www.indexdatabase.de/db/i-single.php?id=11
|
||||
@ -330,16 +330,16 @@ class IndexCalculation:
|
||||
"""
|
||||
return (self.red - self.blue) / self.red
|
||||
|
||||
def CTVI(self):
|
||||
def ctvi(self):
|
||||
"""
|
||||
Corrected Transformed Vegetation Index
|
||||
https://www.indexdatabase.de/db/i-single.php?id=244
|
||||
:return: index
|
||||
"""
|
||||
ndvi = self.NDVI()
|
||||
ndvi = self.ndvi()
|
||||
return ((ndvi + 0.5) / (abs(ndvi + 0.5))) * (abs(ndvi + 0.5) ** (1 / 2))
|
||||
|
||||
def GDVI(self):
|
||||
def gdvi(self):
|
||||
"""
|
||||
Difference self.nir/self.green self.green Difference Vegetation Index
|
||||
https://www.indexdatabase.de/db/i-single.php?id=27
|
||||
@ -347,7 +347,7 @@ class IndexCalculation:
|
||||
"""
|
||||
return self.nir - self.green
|
||||
|
||||
def EVI(self):
|
||||
def evi(self):
|
||||
"""
|
||||
Enhanced Vegetation Index
|
||||
https://www.indexdatabase.de/db/i-single.php?id=16
|
||||
@ -357,7 +357,7 @@ class IndexCalculation:
|
||||
(self.nir - self.red) / (self.nir + 6 * self.red - 7.5 * self.blue + 1)
|
||||
)
|
||||
|
||||
def GEMI(self):
|
||||
def gemi(self):
|
||||
"""
|
||||
Global Environment Monitoring Index
|
||||
https://www.indexdatabase.de/db/i-single.php?id=25
|
||||
@ -368,25 +368,25 @@ class IndexCalculation:
|
||||
)
|
||||
return n * (1 - 0.25 * n) - (self.red - 0.125) / (1 - self.red)
|
||||
|
||||
def GOSAVI(self, Y=0.16):
|
||||
def gosavi(self, y=0.16):
|
||||
"""
|
||||
self.green Optimized Soil Adjusted Vegetation Index
|
||||
https://www.indexdatabase.de/db/i-single.php?id=29
|
||||
mit Y = 0,16
|
||||
:return: index
|
||||
"""
|
||||
return (self.nir - self.green) / (self.nir + self.green + Y)
|
||||
return (self.nir - self.green) / (self.nir + self.green + y)
|
||||
|
||||
def GSAVI(self, L=0.5):
|
||||
def gsavi(self, n=0.5):
|
||||
"""
|
||||
self.green Soil Adjusted Vegetation Index
|
||||
https://www.indexdatabase.de/db/i-single.php?id=31
|
||||
mit L = 0,5
|
||||
mit N = 0,5
|
||||
:return: index
|
||||
"""
|
||||
return ((self.nir - self.green) / (self.nir + self.green + L)) * (1 + L)
|
||||
return ((self.nir - self.green) / (self.nir + self.green + n)) * (1 + n)
|
||||
|
||||
def Hue(self):
|
||||
def hue(self):
|
||||
"""
|
||||
Hue
|
||||
https://www.indexdatabase.de/db/i-single.php?id=34
|
||||
@ -396,7 +396,7 @@ class IndexCalculation:
|
||||
((2 * self.red - self.green - self.blue) / 30.5) * (self.green - self.blue)
|
||||
)
|
||||
|
||||
def IVI(self, a=None, b=None):
|
||||
def ivi(self, a=None, b=None):
|
||||
"""
|
||||
Ideal vegetation index
|
||||
https://www.indexdatabase.de/db/i-single.php?id=276
|
||||
@ -406,15 +406,15 @@ class IndexCalculation:
|
||||
"""
|
||||
return (self.nir - b) / (a * self.red)
|
||||
|
||||
def IPVI(self):
|
||||
def ipvi(self):
|
||||
"""
|
||||
Infraself.red percentage vegetation index
|
||||
https://www.indexdatabase.de/db/i-single.php?id=35
|
||||
:return: index
|
||||
"""
|
||||
return (self.nir / ((self.nir + self.red) / 2)) * (self.NDVI() + 1)
|
||||
return (self.nir / ((self.nir + self.red) / 2)) * (self.ndvi() + 1)
|
||||
|
||||
def I(self): # noqa: E741,E743
|
||||
def i(self): # noqa: E741,E743
|
||||
"""
|
||||
Intensity
|
||||
https://www.indexdatabase.de/db/i-single.php?id=36
|
||||
@ -422,7 +422,7 @@ class IndexCalculation:
|
||||
"""
|
||||
return (self.red + self.green + self.blue) / 30.5
|
||||
|
||||
def RVI(self):
|
||||
def rvi(self):
|
||||
"""
|
||||
Ratio-Vegetation-Index
|
||||
http://www.seos-project.eu/modules/remotesensing/remotesensing-c03-s01-p01.html
|
||||
@ -430,15 +430,15 @@ class IndexCalculation:
|
||||
"""
|
||||
return self.nir / self.red
|
||||
|
||||
def MRVI(self):
|
||||
def mrvi(self):
|
||||
"""
|
||||
Modified Normalized Difference Vegetation Index RVI
|
||||
https://www.indexdatabase.de/db/i-single.php?id=275
|
||||
:return: index
|
||||
"""
|
||||
return (self.RVI() - 1) / (self.RVI() + 1)
|
||||
return (self.rvi() - 1) / (self.rvi() + 1)
|
||||
|
||||
def MSAVI(self):
|
||||
def m_savi(self):
|
||||
"""
|
||||
Modified Soil Adjusted Vegetation Index
|
||||
https://www.indexdatabase.de/db/i-single.php?id=44
|
||||
@ -449,7 +449,7 @@ class IndexCalculation:
|
||||
- ((2 * self.nir + 1) ** 2 - 8 * (self.nir - self.red)) ** (1 / 2)
|
||||
) / 2
|
||||
|
||||
def NormG(self):
|
||||
def norm_g(self):
|
||||
"""
|
||||
Norm G
|
||||
https://www.indexdatabase.de/db/i-single.php?id=50
|
||||
@ -457,7 +457,7 @@ class IndexCalculation:
|
||||
"""
|
||||
return self.green / (self.nir + self.red + self.green)
|
||||
|
||||
def NormNIR(self):
|
||||
def norm_nir(self):
|
||||
"""
|
||||
Norm self.nir
|
||||
https://www.indexdatabase.de/db/i-single.php?id=51
|
||||
@ -465,7 +465,7 @@ class IndexCalculation:
|
||||
"""
|
||||
return self.nir / (self.nir + self.red + self.green)
|
||||
|
||||
def NormR(self):
|
||||
def norm_r(self):
|
||||
"""
|
||||
Norm R
|
||||
https://www.indexdatabase.de/db/i-single.php?id=52
|
||||
@ -473,7 +473,7 @@ class IndexCalculation:
|
||||
"""
|
||||
return self.red / (self.nir + self.red + self.green)
|
||||
|
||||
def NGRDI(self):
|
||||
def ngrdi(self):
|
||||
"""
|
||||
Normalized Difference self.green/self.red Normalized self.green self.red
|
||||
difference index, Visible Atmospherically Resistant Indices self.green
|
||||
@ -483,7 +483,7 @@ class IndexCalculation:
|
||||
"""
|
||||
return (self.green - self.red) / (self.green + self.red)
|
||||
|
||||
def RI(self):
|
||||
def ri(self):
|
||||
"""
|
||||
Normalized Difference self.red/self.green self.redness Index
|
||||
https://www.indexdatabase.de/db/i-single.php?id=74
|
||||
@ -491,7 +491,7 @@ class IndexCalculation:
|
||||
"""
|
||||
return (self.red - self.green) / (self.red + self.green)
|
||||
|
||||
def S(self):
|
||||
def s(self):
|
||||
"""
|
||||
Saturation
|
||||
https://www.indexdatabase.de/db/i-single.php?id=77
|
||||
@ -501,7 +501,7 @@ class IndexCalculation:
|
||||
min = np.min([np.min(self.red), np.min(self.green), np.min(self.blue)])
|
||||
return (max - min) / max
|
||||
|
||||
def IF(self):
|
||||
def _if(self):
|
||||
"""
|
||||
Shape Index
|
||||
https://www.indexdatabase.de/db/i-single.php?id=79
|
||||
@ -509,7 +509,7 @@ class IndexCalculation:
|
||||
"""
|
||||
return (2 * self.red - self.green - self.blue) / (self.green - self.blue)
|
||||
|
||||
def DVI(self):
|
||||
def dvi(self):
|
||||
"""
|
||||
Simple Ratio self.nir/self.red Difference Vegetation Index, Vegetation Index
|
||||
Number (VIN)
|
||||
@ -518,15 +518,15 @@ class IndexCalculation:
|
||||
"""
|
||||
return self.nir / self.red
|
||||
|
||||
def TVI(self):
|
||||
def tvi(self):
|
||||
"""
|
||||
Transformed Vegetation Index
|
||||
https://www.indexdatabase.de/db/i-single.php?id=98
|
||||
:return: index
|
||||
"""
|
||||
return (self.NDVI() + 0.5) ** (1 / 2)
|
||||
return (self.ndvi() + 0.5) ** (1 / 2)
|
||||
|
||||
def NDRE(self):
|
||||
def ndre(self):
|
||||
return (self.nir - self.redEdge) / (self.nir + self.redEdge)
|
||||
|
||||
|
||||
|
||||
@ -62,8 +62,8 @@ def test_gen_gaussian_kernel_filter():
|
||||
|
||||
def test_convolve_filter():
|
||||
# laplace diagonals
|
||||
Laplace = array([[0.25, 0.5, 0.25], [0.5, -3, 0.5], [0.25, 0.5, 0.25]])
|
||||
res = conv.img_convolve(gray, Laplace).astype(uint8)
|
||||
laplace = array([[0.25, 0.5, 0.25], [0.5, -3, 0.5], [0.25, 0.5, 0.25]])
|
||||
res = conv.img_convolve(gray, laplace).astype(uint8)
|
||||
assert res.any()
|
||||
|
||||
|
||||
|
||||
Reference in New Issue
Block a user