FAST Corner Detection

FAST Corner Detection example resides in L2/examples/fast directory.

This benchmark tests the performance of fast function. Features from accelerated segment test (FAST) is a corner detection algorithm, that is faster than most of the other feature detectors.

The tutorial provides a step-by-step guide that covers commands for building and running kernel.

Executable Usage

• Work Directory(Step 1)

The steps for library download and environment setup can be found in README of L2 folder. For getting the design,

cd L2/examples/fast

• Build kernel(Step 2)

Run the following make command to build your XCLBIN and host binary targeting a specific device. Please be noticed that this process will take a long time, maybe couple of hours.

export OPENCV_INCLUDE=< path-to-opencv-include-folder >
export OPENCV_LIB=< path-to-opencv-lib-folder >
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:< path-to-opencv-lib-folder >
export DEVICE=< path-to-platform-directory >/< platform >.xpfm
make host xclbin TARGET=hw

• Run kernel(Step 3)

To get the benchmark results, please run the following command.

make run TARGET=hw

• Example output(Step 4)

-----------FAST Design---------------
Found Platform
Platform Name: Xilinx
INFO: Device found - xilinx_u200_xdma_201830_2
XCLBIN File Name: krnl_fast
INFO: Importing vision/L2/examples/fast/Xilinx_Fast_L2_Test_vitis_hw_u200/build_dir.hw.xilinx_u200_xdma_201830_2/krnl_fast.xclbin
Loading: 'vision/L2/examples/fast/Xilinx_Fast_L2_Test_vitis_hw_u200/build_dir.hw.xilinx_u200_xdma_201830_2/krnl_fast.xclbin'
ocvpoints:511=
INFO: Verification results:
    Common = 511
    Success = 100
    Loss = 0
    Gain = 0
Test Passed
------------------------------------------------------------

Profiling

The fast corner detection design is validated on Alveo U200 board at 300 MHz frequency. The hardware resource utilizations are listed in the following table.

Table 1 Hardware resources for FAST corner detection

Dataset			LUT	BRAM	FF	DSP
Resolution	NPPC	other params
4K	8	NA	21171	10	13396	0
FHD	8	NA	20437	10	14322	0

The performance is shown below

Table 2 Performance numbers in terms of FPS (Frames Per Second) for FAST corner detection

Dataset	FPS(CPU)	FPS(FPGA)
4k (3840x2160)	79	289
Full HD(1920x1080)	186	1100