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Releases: ROCm/rpp

RPP - V0.8

23 Sep 00:04
@kiritigowda kiritigowda
0.8
45ebba3
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RPP - V0.8 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
  • Enhancements

Online Documentation

RPP Documentation

Release code checkout

git clone -b 0.8 https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp.git

Prerequisites

  • OS
    • Ubuntu 18.04/20.04
    • CentOS/RHEL 8.0
  • ROCm supported hardware
  • ROCm
  • Boost
  • Clang
  • IEEE 754-based half-precision floating-point library - half.hpp

NOTE:

  • Boost

    • Ubuntu
    sudo apt --yes install libboost-all-dev
    • CentOS/RHEL
    sudo yum install boost-devel

  • CLang 6.0 or higher

    • Ubuntu
    sudo apt --yes install clang
    • CentOS/RHEL
    sudo yum install boost-devel

  • 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
Assets 2
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RPP - V0.7

29 Mar 16:02
@kiritigowda kiritigowda
0.7
cfdaced
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RPP - V0.7 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
  • Enhancements
  • Unit tests

Online Documentation

RPP Documentation

Release code checkout

git clone -b 0.7 https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp.git

Prerequisites

  • OS
    • Ubuntu 18.04/20.04
    • CentOS/RHEL 8.0
  • ROCm supported hardware
  • ROCm
  • Boost
  • Clang
  • IEEE 754-based half-precision floating-point library - half.hpp

NOTE:

  • Boost

    • Ubuntu
    sudo apt --yes install libboost-all-dev
    • CentOS/RHEL
    sudo yum install boost-devel

  • CLang 6.0 or higher

    • Ubuntu
    sudo apt --yes install clang
    • CentOS/RHEL
    sudo yum install boost-devel

  • 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
Assets 4
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RPP - V0.6

22 Dec 03:30
@kiritigowda kiritigowda
0.6
a495641
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RPP - V0.6 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
  • Enhancements

Online Documentation

RPP Documentation

Release code checkout

git clone -b 0.6 https://github.com/GPUOpen-ProfessionalCompute-Libraries/rpp.git

Prerequisites

  • OS
    • Ubuntu 18.04/20.04
    • CentOS/RHEL 8.0
  • ROCm supported hardware
  • ROCm
  • Boost
  • Clang
  • IEEE 754-based half-precision floating-point library - half.hpp

NOTE:

  • Boost

    • Ubuntu
    sudo apt --yes install libboost-all-dev
    • CentOS/RHEL
    sudo yum install boost-devel

  • CLang

    • Ubuntu
    sudo apt --yes install clang
    • CentOS/RHEL
    sudo yum install boost-devel

  • 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
Assets 2
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RPP - V0.5

26 Aug 23:42
@kiritigowda kiritigowda
0.5
35d5480
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RPP - V0.5 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
  • Support for FP32, Int, & Tensors

Online Documentation

RPP Documentation

Release code checkout

git clone -b 0.5 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
Assets 2
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RPP - V0.4

15 Jun 05:40
@kiritigowda kiritigowda
0.4
ebcaa11
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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
Assets 2
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RPP - V0.3

02 May 02:26
@kiritigowda kiritigowda
0.3
d180844
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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
Assets 2
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RPP - V0.2

24 Apr 23:45
@kiritigowda kiritigowda
0.2
4759a94
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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
Assets 2
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RPP Alpha - V0.1

16 Apr 17:30
@kiritigowda kiritigowda
0.1
46ad633
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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
Assets 2
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