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gfuse
2021-06-18 14:57:59 +02:00
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// Copyright (C) 2011 Dmitri Nikulin
// Copyright (C) 2011 Monash University
//
// Permission is hereby granted, free of charge, to any person
// obtaining a copy of this software and associated documentation
// files (the "Software"), to deal in the Software without
// restriction, including without limitation the rights to use,
// copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the
// Software is furnished to do so, subject to the following
// conditions:
//
// The above copyright notice and this permission notice shall be
// included in all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
// HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
// WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
// OTHER DEALINGS IN THE SOFTWARE.
kernel void fast_best(
read_only image2d_t scores,
global int2 * corners,
global int2 * filtered,
global int * icorner
) {
// Prepare a suitable OpenCL image sampler.
sampler_t const sampler = CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST;
// Use global work item as 1D offset into corners.
int const ic = get_global_id(0);
int2 const xy = corners[ic];
// Read the candidate score.
int const p00 = read_imageui(scores, sampler, xy).x;
// Read other scores in a tight square around the candidate score.
int const p01 = read_imageui(scores, sampler, xy + (int2)(-1, -1)).x;
int const p02 = read_imageui(scores, sampler, xy + (int2)( 0, -1)).x;
int const p03 = read_imageui(scores, sampler, xy + (int2)( 1, -1)).x;
int const p04 = read_imageui(scores, sampler, xy + (int2)(-1, 0)).x;
int const p05 = read_imageui(scores, sampler, xy + (int2)( 0, 0)).x;
int const p06 = read_imageui(scores, sampler, xy + (int2)( 1, 0)).x;
int const p07 = read_imageui(scores, sampler, xy + (int2)(-1, 1)).x;
int const p08 = read_imageui(scores, sampler, xy + (int2)( 0, 1)).x;
int const p09 = read_imageui(scores, sampler, xy + (int2)( 1, 1)).x;
// Select the maximum score.
int sco = p00;
sco = max(sco, p01);
sco = max(sco, p02);
sco = max(sco, p03);
sco = max(sco, p04);
sco = max(sco, p05);
sco = max(sco, p06);
sco = max(sco, p07);
sco = max(sco, p08);
sco = max(sco, p09);
// Keep this score if it is as good as the maximum.
if (p00 >= sco) {
// Atomically append to filtered corner buffer.
filtered[atom_inc(icorner)] = xy;
}
}