Skip to content

Releases: ROCm/rpp

RPP - V0.4

15 Jun 05:40
ebcaa11
Compare
Choose a tag to compare
RPP - V0.4 Pre-release
Pre-release

Radeon Performance Primitives Library

Radeon Performance Primitives (RPP) library is a comprehensive high-performance computer vision library for AMD (CPU and GPU) with HIP and OpenCL back-ends.

Release Notes

Features & Changes

  • Bug Fixes
  • New OS Support
  • Cleanup

Online Documentation

RPP Documentation

Release code checkout

git clone -b 0.4 https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp.git

Prerequisites

NOTE:

  • Boost
sudo apt --yes install libboost-all-dev
  • CLang
sudo apt --yes install clang
  • half.hpp
wget https://sourceforge.net/projects/half/files/half/1.12.0/half-1.12.0.zip
unzip half-1.12.0.zip -d half-files
sudo cp half-files/include/half.hpp /usr/local/include/

Instructions to build the library

$ git clone https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp.git
$ cd rpp
$ mkdir build
$ cd build
$ cmake -DBACKEND=OCL .. #for OCL and HOST
        or
$ cmake -DBACKEND=HIP -DCOMPILE=STATIC #for HIPSTATIC
        or
$ cmake -DBACKEND=HIP -DCOMPILE=HSACOO #for HIPHSACOO
        or
$ cmake -DBACKEND=HIP -DCOMPILE=HIPRTC #for HIPRTC        
$ make -j4
$ sudo make install

Known Issues

  • Ubuntu 16.04 build requires updates to all pre-req libs

RPP - V0.3

02 May 02:26
Compare
Choose a tag to compare
RPP - V0.3 Pre-release
Pre-release

Radeon Performance Primitives Library

Radeon Performance Primitives (RPP) library is a comprehensive high-performance computer vision library for AMD (CPU and GPU) with HIP and OpenCL back-ends.

Release Notes

Online Documentation

RPP Documentation

Release code checkout

git clone -b 0.3 https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp.git

Prerequisites

NOTE:

  • Boost
sudo apt --yes install libboost-all-dev
  • CLang
sudo apt --yes install clang
  • half.hpp
wget https://sourceforge.net/projects/half/files/half/1.12.0/half-1.12.0.zip
unzip half-1.12.0.zip -d half-files
sudo cp half-files/include/half.hpp /usr/local/include/

Instructions to build the library

$ git clone https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp.git
$ cd rpp
$ mkdir build
$ cd build
$ cmake -DBACKEND=OCL .. #for OCL and HOST
        or
$ cmake -DBACKEND=HIP -DCOMPILE=STATIC #for HIPSTATIC
        or
$ cmake -DBACKEND=HIP -DCOMPILE=HSACOO #for HIPHSACOO
        or
$ cmake -DBACKEND=HIP -DCOMPILE=HIPRTC #for HIPRTC        
$ make -j4
$ sudo make install

Known Issues

  • Ubuntu 16.04 build requires updates to all pre-req libs

RPP - V0.2

24 Apr 23:45
4759a94
Compare
Choose a tag to compare
RPP - V0.2 Pre-release
Pre-release

Radeon Performance Primitives Library

Radeon Performance Primitives (RPP) library is a comprehensive high-performance computer vision library for AMD (CPU and GPU) with HIP and OpenCL backend on the device side.

Release code checkout

git clone -b 0.2 https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp.git

Top level design

RPP is developed for Linux operating system.

Prerequisites
  1. Ubuntu 16.04/18.04
  2. ROCm supported hardware
  3. ROCm

Functions Included

Image Augmentation Category

Enhancements

  • Brightness modification
  • Contrast modification
  • Hue modification
  • Saturation modification
  • Color temperature modification
  • Vignette effect
  • Gamma Correction
  • Histogram Balance

Self Driving Car Specs

  • Exposure modifications
  • Foggy
  • Rainy
  • Snowy
  • RandomShadow

Geometric Distortion Nodes

  • Rotate
  • Warp-affine
  • Flip (horizontally or vertically)
  • Fish Eye Effect
  • Lens correction

Other Augmentations

  • Resize
  • RandomResizeCrop
  • Blending images
  • Adding Occlusion
  • Pixilation
  • Adding Noise
  • Blurring
  • Adding Jitter
  • RandomCropLetterBox

Vision Functions

  • Absolute Difference
  • Accumulate
  • Accumulate Squared
  • Accumulate Weighted
  • Arithmetic Addition
  • Arithmetic Subtraction
  • Bilateral Filter
  • Bitwise AND
  • Bitwise EXCLUSIVE OR
  • Bitwise INCLUSIVE OR
  • Bitwise NOT
  • Box Filter
  • Canny Edge Detector
  • Channel Combine
  • Channel Extract
  • Control Flow
  • Convert Bit Depth
  • Custom Convolution
  • Data Object Copy
  • Dilate Image
  • Equalize Histogram
  • Erode Image
  • Fast Corners
  • Gaussian Filter
  • Gaussian Image Pyramid
  • Harris Corners
  • Histogram
  • Integral Image
  • LBP
  • Laplacian Image Pyramid
  • Magnitude
  • MatchTemplate
  • Max
  • Mean and Standard Deviation
  • Median Filter
  • Min
  • Min, Max Location
  • Non-Linear Filter
  • Non-Maxima Suppression
  • Phase
  • Pixel-wise Multiplication
  • Reconstruction from a Laplacian Image Pyramid
  • Remap
  • Scale Image
  • Sobel 3x3
  • TableLookup
  • Tensor Add
  • Tensor Convert Bit-Depth
  • Tensor Matrix Multiply
  • Tensor Multiply
  • Tensor Subtract
  • Tensor TableLookUp
  • Tensor Transpose
  • Thresholding
  • Warp Affine
  • Warp Perspective

Variations

  • Support for 3C(RGB) and 1C(Grayscale) images
  • Planar and Packed
  • Host and GPU
  • Batch Processing with 26 variations
  • ROI variations
  • Padded Variations

Instructions to build the library

$ git clone https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp.git
$ cd rpp
$ mkdir build
$ cd build
$ cmake -DBACKEND=OCL .. #for OCL and HOST
        or
$ cmake -DBACKEND=HIP -DCOMPILE=STATIC #for HIPSTATIC
        or
$ cmake -DBACKEND=HIP -DCOMPILE=HSACOO #for HIPHSACOO
        or
$ cmake -DBACKEND=HIP -DCOMPILE=HIPRTC #for HIPRTC        
$ make -j4
$ sudo make install

RPP Alpha - V0.1

16 Apr 17:30
46ad633
Compare
Choose a tag to compare
RPP Alpha - V0.1 Pre-release
Pre-release

Radeon Performance Primitives Library

Radeon Performance Primitives (RPP) library is a comprehensive high-performance computer vision library for AMD (CPU and GPU) with HIP and OpenCL backend on the device side.

Release code checkout

git clone -b 0.1 https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp.git

Top level design

RPP is developed for Linux operating system.

Prerequisites

  1. Ubuntu 16.04/18.04
  2. ROCm supported hardware
  3. ROCm

Functions Included

Image Augmentation Category

Enhancements

  • Brightness modification
  • Contrast modification
  • Hue modification
  • Saturation modification
  • Color temperature modification
  • Vignette effect
  • Gamma Correction
  • Histogram Balance

Self Driving Car Specs

  • Exposure modifications
  • Foggy
  • Rainy
  • Snowy
  • RandomShadow

Geometric Distortion Nodes

  • Rotate
  • Warp-affine
  • Flip (horizontally or vertically)
  • Fish Eye Effect
  • Lens correction

Other Augmentations

  • Resize
  • RandomResizeCrop
  • Blending images
  • Adding Occlusion
  • Pixilation
  • Adding Noise
  • Blurring
  • Adding Jitter
  • RandomCropLetterBox

Vision Functions

  • Absolute Difference
  • Accumulate
  • Accumulate Squared
  • Accumulate Weighted
  • Arithmetic Addition
  • Arithmetic Subtraction
  • Bilateral Filter
  • Bitwise AND
  • Bitwise EXCLUSIVE OR
  • Bitwise INCLUSIVE OR
  • Bitwise NOT
  • Box Filter
  • Canny Edge Detector
  • Channel Combine
  • Channel Extract
  • Control Flow
  • Convert Bit Depth
  • Custom Convolution
  • Data Object Copy
  • Dilate Image
  • Equalize Histogram
  • Erode Image
  • Fast Corners
  • Gaussian Filter
  • Gaussian Image Pyramid
  • Harris Corners
  • Histogram
  • Integral Image
  • LBP
  • Laplacian Image Pyramid
  • Magnitude
  • MatchTemplate
  • Max
  • Mean and Standard Deviation
  • Median Filter
  • Min
  • Min, Max Location
  • Non-Linear Filter
  • Non-Maxima Suppression
  • Phase
  • Pixel-wise Multiplication
  • Reconstruction from a Laplacian Image Pyramid
  • Remap
  • Scale Image
  • Sobel 3x3
  • TableLookup
  • Tensor Add
  • Tensor Convert Bit-Depth
  • Tensor Matrix Multiply
  • Tensor Multiply
  • Tensor Subtract
  • Tensor TableLookUp
  • Tensor Transpose
  • Thresholding
  • Warp Affine
  • Warp Perspective

Variations

  • Support for 3C(RGB) and 1C(Grayscale) images
  • Planar and Packed
  • Host and GPU
  • Batch Processing with 26 variations
  • ROI variations
  • Padded Variations