Eduardo Perez Regin’s Reviews > Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms for computer vision and machine learning > Status Update
Eduardo Perez Regin
is on page 32 of 372
We may access these values by using an expression such as image[0, 0] or image[0, 0, 0]. The first index is the pixel's y coordinate or row, 0 being the top. The second index is the pixel's x coordinate or column, 0 being the leftmost.
bytearray returns an array of bytes, this can be used to create random bytes to images, remember to use reshape with their proper channels.
— Aug 08, 2021 09:48PM
bytearray returns an array of bytes, this can be used to create random bytes to images, remember to use reshape with their proper channels.
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Eduardo Perez Regin
is on page 34 of 372
Using itemset and set are faster but usually used in little portion of the image. When you need a large portion (ROI - region of interest) you can use openCV functions or numpy slides, prefer to use this.
img[:, :, 0] -> all y,x of blue channel
img[:, :, 1] -> all y,x of green channel
img[:, :, 2] -> all y,x of red channel
Having ROI you can modify just a part of the image.
FAMILIARIZE NUMPY AND NUMPY.ARRAY
— Aug 12, 2021 10:29PM
img[:, :, 0] -> all y,x of blue channel
img[:, :, 1] -> all y,x of green channel
img[:, :, 2] -> all y,x of red channel
Having ROI you can modify just a part of the image.
FAMILIARIZE NUMPY AND NUMPY.ARRAY
Eduardo Perez Regin
is on page 34 of 372
Using itemset and set are faster but usually used in little portion of the image. When you need a large portion (ROI - region of interest) you can use openCV functions or numpy slides, prefer to use this.
img[:, :, 0] -> all y,x of blue channel
img[:, :, 1] -> all y,x of green channel
img[:, :, 2] -> all y,x of red channel
Having ROI you can modify just a part of the image.
Familiarize Numpy and numpy.array
— Aug 12, 2021 10:28PM
img[:, :, 0] -> all y,x of blue channel
img[:, :, 1] -> all y,x of green channel
img[:, :, 2] -> all y,x of red channel
Having ROI you can modify just a part of the image.
Familiarize Numpy and numpy.array
Eduardo Perez Regin
is on page 28 of 372
An image is a multidimensional array, it has columns and rows of pixels and each pixel as a value.
0-255 is grayscale image, it has one channel.
You can convert an image using cv2.cvtColor.
BRG (Blue-Red-Green), it has three channels.
You can use img.shape to get shape properties.
— Aug 05, 2021 10:49PM
0-255 is grayscale image, it has one channel.
You can convert an image using cv2.cvtColor.
BRG (Blue-Red-Green), it has three channels.
You can use img.shape to get shape properties.
