What is RPP?#

AMD ROCm Performance Primitives (RPP) library is a comprehensive, high-performance computer vision library for AMD processors that have HIP, OpenCL, or CPU backends.

RPP Functions

Supported functionalities and variants#

The following tables show the CPU and GPU support for various RPP functionalities and variants. You can view image samples following the tables.

Image augmentations#

Type

CPU

GPU

brightness

✅

✅

gamma correction

✅

✅

blend

✅

✅

blur

✅

✅

contrast

✅

✅

pixelate

✅

✅

jitter

✅

✅

snow

✅

✅

noise

✅

✅

random shadow

✅

✅

fog

✅

✅

rain

✅

✅

random crop letterbox

✅

✅

exposure

✅

✅

histogram balance

✅

❌

Statistical functions#

Type

CPU

GPU

thresholding

✅

✅

min

✅

✅

max

✅

✅

min max loc

✅

❌

integral

✅

❌

histogram_equalization

✅

❌

mean stddev

✅

❌

Geometry transforms#

Type

CPU

GPU

flip

✅

✅

resize

✅

✅

resize crop

✅

✅

rotate

✅

✅

warp affine

✅

✅

fisheye

✅

✅

lens correction

✅

✅

scale

✅

✅

warp perspective

✅

✅

Advanced augmentations#

Type

CPU

GPU

water

✅

✅

non-linear blend

✅

✅

color cast

✅

✅

erase

✅

✅

crop and patch

✅

✅

lut

✅

✅

glitch

✅

✅

Fused functions#

Type

CPU

GPU

color twist

✅

✅

crop

✅

✅

crop mirror normalize

✅

✅

resize crop mirror

✅

✅

Morphological transforms#

Type

CPU

GPU

erode

✅

✅

dilate

✅

✅

Color model conversions#

Type

CPU

GPU

hue

✅

✅

saturation

✅

✅

color convert

✅

✅

color temperature

✅

✅

vignette

✅

✅

channel extract

✅

❌

channel combine

✅

❌

lookup table

✅

✅

tensor table lookup

✅

❌

Filter operations#

Type

CPU

GPU

box filter

✅

✅

sobel filter

✅

✅

median filter

✅

✅

custom convolution

✅

❌

non-max suppression

✅

✅

gaussian filter

✅

✅

non-linear filter

✅

✅

Arithmetic operations#

Type

CPU

GPU

absolute difference

✅

✅

accumulate weighted

✅

✅

accumulate

✅

✅

add

✅

✅

subtract

✅

✅

magnitude

✅

✅

multiply

✅

✅

phase

✅

✅

tensor add

✅

✅

tensor subtract

✅

✅

tensor multiply

✅

✅

accumulate squared

✅

✅

Logical operations#

Type

CPU

GPU

bitwise AND

✅

✅

bitwise NOT

✅

✅

exclusive OR

✅

✅

inclusive OR

✅

✅

Computer vision#

Type

CPU

GPU

local binary pattern

✅

✅

data object copy

✅

✅

gaussian image pyramid

✅

✅

laplacian image pyramid

✅

✅

canny edge detector

✅

✅

harris corner detector

✅

✅

tensor convert bit depth

✅

❌

fast corner detector

✅

❌

reconstruction laplacian image pyramid

✅

❌

control flow

✅

✅

hough lines

✅

❌

hog

✅

❌

remap

✅

❌

tensor matrix multiply

✅

✅

tensor transpose

✅

✅

Image examples#

Supported function samples

3D images#

The following is an example of a 3D medical image before and after fused_multiply_add_scalar.

Original image

Modified image
_images/niftiInput.gif _images/niftiOutputBrightened.gif