September 2018
Intermediate to advanced
380 pages
9h 40m
English
Content preview from Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA
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Questions
- State true or false: The use of the d_out[i]++ line instead of the atomicadd operation will yield an accurate result in histogram calculation.
- What is the advantage of using shared memory with atomic operations?
- What is the modification in the kernel call function when shared memory is used in the kernel?
- Which information can be obtained by calculating the histogram of an image?
- State true or false: The kernel function developed in this chapter for BGR into grayscale conversion will also work for RGB into grayscale conversion.
- Why is the image flattened in all of the examples shown in this chapter? Is it a compulsory step?
- Why is the image converted into the uint8 data type from the numpy library before being displayed?
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.