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Alternatives to opencv (cv2) #532 [Solved] #853

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50 changes: 42 additions & 8 deletions alibi_detect/utils/perturbation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,6 @@
from io import BytesIO
from typing import List, Tuple, Union

import cv2
import numpy as np
import skimage as sk
from alibi_detect.utils.data import Bunch
Expand All @@ -14,6 +13,14 @@
from scipy.ndimage.interpolation import map_coordinates
from skimage.filters import gaussian

try:
import cv2
except:
cv2 = None
from scipy.signal import convolve2d
from skimage.transform import AffineTransform, warp
from skimage import img_as_ubyte


def apply_mask(X: np.ndarray,
mask_size: tuple = (4, 4),
Expand Down Expand Up @@ -632,8 +639,17 @@ def disk(radius: float, alias_blur: float = 0.1, dtype=np.float32) -> np.ndarray
aliased_disk = np.array((X ** 2 + Y ** 2) <= radius ** 2, dtype=dtype)
aliased_disk /= np.sum(aliased_disk)

# supersample disk to antialias
return cv2.GaussianBlur(aliased_disk, ksize=ksize, sigmaX=alias_blur)
if cv2 is not None:
# supersample disk to antialias
return cv2.GaussianBlur(aliased_disk, ksize=ksize, sigmaX=alias_blur)

else:
# Create Gaussian kernel
kernel = np.exp(-(X**2 + Y**2) / (2.0 * alias_blur**2))
kernel /= np.sum(kernel)

# Convolve with the aliased disk
return convolve2d(aliased_disk, kernel, mode='same', boundary='wrap')


def defocus_blur(x: np.ndarray, radius: int, alias_blur: float, xrange: tuple = None) -> np.ndarray:
Expand All @@ -658,9 +674,16 @@ def defocus_blur(x: np.ndarray, radius: int, alias_blur: float, xrange: tuple =
x, scale_back = scale_minmax(x, xrange)
kernel = disk(radius=radius, alias_blur=alias_blur)
channels = []
for d in range(3):
channels.append(cv2.filter2D(x[:, :, d], -1, kernel))
x_db = np.array(channels).transpose((1, 2, 0))

if cv2 is not None:
for d in range(3):
channels.append(cv2.filter2D(x[:, :, d], -1, kernel))
x_db = np.array(channels).transpose((1, 2, 0))
else:
for d in range(3):
channels.append(convolve2d(x[:, :, d], kernel, mode='same', boundary='wrap'))
x_db = np.array(channels).transpose((1, 2, 0)).astype(np.float32)

if scale_back:
x_db = x_db * (xrange[1] - xrange[0]) + xrange[0]
if isinstance(xrange, tuple):
Expand Down Expand Up @@ -941,8 +964,19 @@ def elastic_transform(x: np.ndarray, mult_dxdy: float, sigma: float,
[center_square[0] + square_size, center_square[1] - square_size],
center_square - square_size], dtype=np.float32)
pts2 = pts1 + np.random.uniform(-rnd_rng, rnd_rng, size=pts1.shape).astype(np.float32)
M = cv2.getAffineTransform(pts1, pts2)
image = cv2.warpAffine(x, M, shape_size[::-1], borderMode=cv2.BORDER_REFLECT_101)

if cv2 is not None:
M = cv2.getAffineTransform(pts1, pts2)
image = cv2.warpAffine(x, M, shape_size[::-1], borderMode=cv2.BORDER_REFLECT_101)

else:
M = AffineTransform()
M.estimate(pts1, pts2)

image = warp(x, M.inverse, output_shape=shape_size[::-1], mode='reflect')
# image = warp(x, M, output_shape=shape_size[::-1], mode='reflect')
image = img_as_ubyte(image)

dx = (gaussian(np.random.uniform(-1, 1, size=shape_size),
sigma, mode='reflect', truncate=3) * mult_dxdy).astype(np.float32)
dy = (gaussian(np.random.uniform(-1, 1, size=shape_size),
Expand Down
7 changes: 6 additions & 1 deletion setup.py
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Original file line number Diff line number Diff line change
Expand Up @@ -25,12 +25,17 @@ def readme():
"pykeops>=2.0.0, <2.2.0",
"torch>=1.7.0, <1.14.0"
],
# https://github.com/SeldonIO/alibi-detect/issues/532
"opencv-python": [
"opencv-python>=3.2.0, <5.0.0"
],
"all": [
"prophet>=1.1.0, <2.0.0",
"tensorflow_probability>=0.8.0, <0.22.0",
"tensorflow>=2.2.0, !=2.6.0, !=2.6.1, <2.14.0", # https://github.com/SeldonIO/alibi-detect/issues/375 and 387
"pykeops>=2.0.0, <2.2.0",
"torch>=1.7.0, <1.14.0"
"opencv-python>=3.2.0, <5.0.0"
],
}

Expand All @@ -53,7 +58,7 @@ def readme():
"numpy>=1.16.2, <2.0.0",
"pandas>=1.0.0, <3.0.0",
"Pillow>=5.4.1, <11.0.0",
"opencv-python>=3.2.0, <5.0.0",
# "opencv-python>=3.2.0, <5.0.0", # Eradicated cv2 (opencv) requirement: https://github.com/SeldonIO/alibi-detect/issues/532
"scipy>=1.3.0, <2.0.0",
'scikit-image>=0.14.2, !=0.17.1, <0.22', # https://github.com/SeldonIO/alibi/issues/215
"scikit-learn>=0.20.2, <2.0.0",
Expand Down