128 lines
		
	
	
		
			5.4 KiB
		
	
	
	
		
			Common Lisp
		
	
	
	
	
	
			
		
		
	
	
			128 lines
		
	
	
		
			5.4 KiB
		
	
	
	
		
			Common Lisp
		
	
	
	
	
	
/*
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 * Copyright (c) 2018 Danil Iashchenko
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 *
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 * This file is part of FFmpeg.
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 *
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 * FFmpeg is free software; you can redistribute it and/or
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 * modify it under the terms of the GNU Lesser General Public
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 * License as published by the Free Software Foundation; either
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 * version 2.1 of the License, or (at your option) any later version.
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 *
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 * FFmpeg is distributed in the hope that it will be useful,
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 * but WITHOUT ANY WARRANTY; without even the implied warranty of
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 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
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 * Lesser General Public License for more details.
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 *
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 * You should have received a copy of the GNU Lesser General Public
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 * License along with FFmpeg; if not, write to the Free Software
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 * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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 */
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__kernel void convolution_global(__write_only image2d_t dst,
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                                 __read_only  image2d_t src,
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                                 int coef_matrix_dim,
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                                 __constant float *coef_matrix,
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                                 float div,
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                                 float bias)
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{
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    const sampler_t sampler = (CLK_NORMALIZED_COORDS_FALSE |
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                               CLK_ADDRESS_CLAMP_TO_EDGE   |
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                               CLK_FILTER_NEAREST);
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    const int half_matrix_dim = (coef_matrix_dim / 2);
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    int2 loc = (int2)(get_global_id(0), get_global_id(1));
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    float4 convPix = (float4)(0.0f, 0.0f, 0.0f, 0.0f);
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    for (int conv_i = -half_matrix_dim; conv_i <= half_matrix_dim; conv_i++) {
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        for (int conv_j = -half_matrix_dim; conv_j <= half_matrix_dim; conv_j++) {
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            float4 px = read_imagef(src, sampler, loc + (int2)(conv_j, conv_i));
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            convPix += px * coef_matrix[(conv_i + half_matrix_dim) * coef_matrix_dim +
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                                        (conv_j + half_matrix_dim)];
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        }
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     }
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     float4 dstPix = convPix * div + bias;
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     write_imagef(dst, loc, dstPix);
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}
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__kernel void sobel_global(__write_only image2d_t dst,
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                           __read_only  image2d_t src,
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                             float div,
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                             float bias)
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{
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    const sampler_t sampler = (CLK_NORMALIZED_COORDS_FALSE |
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                               CLK_ADDRESS_CLAMP_TO_EDGE   |
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                               CLK_FILTER_NEAREST);
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    int2 loc = (int2)(get_global_id(0), get_global_id(1));
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    float4 sum1 = read_imagef(src, sampler, loc + (int2)(-1,-1)) * -1 +
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                  read_imagef(src, sampler, loc + (int2)( 0,-1)) * -2 +
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                  read_imagef(src, sampler, loc + (int2)( 1,-1)) * -1 +
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                  read_imagef(src, sampler, loc + (int2)(-1, 1)) *  1 +
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                  read_imagef(src, sampler, loc + (int2)( 0, 1)) *  2 +
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                  read_imagef(src, sampler, loc + (int2)( 1, 1)) *  1;
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    float4 sum2 = read_imagef(src, sampler, loc + (int2)(-1,-1)) * -1 +
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                  read_imagef(src, sampler, loc + (int2)(-1, 0)) * -2 +
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                  read_imagef(src, sampler, loc + (int2)(-1, 1)) * -1 +
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                  read_imagef(src, sampler, loc + (int2)( 1,-1)) *  1 +
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                  read_imagef(src, sampler, loc + (int2)( 1, 0)) *  2 +
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                  read_imagef(src, sampler, loc + (int2)( 1, 1)) *  1;
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    float4 dstPix = hypot(sum1, sum2) * div + bias;
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    write_imagef(dst, loc, dstPix);
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}
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__kernel void prewitt_global(__write_only image2d_t dst,
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                             __read_only  image2d_t src,
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                             float div,
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                             float bias)
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{
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    const sampler_t sampler = (CLK_NORMALIZED_COORDS_FALSE |
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                               CLK_ADDRESS_CLAMP_TO_EDGE   |
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                               CLK_FILTER_NEAREST);
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    int2 loc = (int2)(get_global_id(0), get_global_id(1));
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    float4 sum1 = read_imagef(src, sampler, loc + (int2)(-1,-1)) *  1 +
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                  read_imagef(src, sampler, loc + (int2)( 0,-1)) *  1 +
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                  read_imagef(src, sampler, loc + (int2)( 1,-1)) *  1 +
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                  read_imagef(src, sampler, loc + (int2)(-1, 1)) * -1 +
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                  read_imagef(src, sampler, loc + (int2)( 0, 1)) * -1 +
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                  read_imagef(src, sampler, loc + (int2)( 1, 1)) * -1;
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    float4 sum2 = read_imagef(src, sampler, loc + (int2)(-1,-1)) *  1 +
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                  read_imagef(src, sampler, loc + (int2)(-1, 0)) *  1 +
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                  read_imagef(src, sampler, loc + (int2)(-1, 1)) *  1 +
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                  read_imagef(src, sampler, loc + (int2)( 1,-1)) * -1 +
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                  read_imagef(src, sampler, loc + (int2)( 1, 0)) * -1 +
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                  read_imagef(src, sampler, loc + (int2)( 1, 1)) * -1;
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    float4 dstPix = hypot(sum1, sum2) * div + bias;
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    write_imagef(dst, loc, dstPix);
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}
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__kernel void roberts_global(__write_only image2d_t dst,
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                             __read_only  image2d_t src,
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                             float div,
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                             float bias)
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{
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    const sampler_t sampler = (CLK_NORMALIZED_COORDS_FALSE |
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                               CLK_ADDRESS_CLAMP_TO_EDGE   |
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                               CLK_FILTER_NEAREST);
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    int2 loc = (int2)(get_global_id(0), get_global_id(1));
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    float4 sum1 = read_imagef(src, sampler, loc + (int2)(-1,-1)) *  1 +
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                  read_imagef(src, sampler, loc + (int2)( 0,-1)) * -1;
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    float4 sum2 = read_imagef(src, sampler, loc + (int2)(-1, 0)) * -1 +
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                  read_imagef(src, sampler, loc + (int2)( 0, 0)) *  1;
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    float4 dstPix = hypot(sum1, sum2) * div + bias;
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    write_imagef(dst, loc, dstPix);
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}
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