/usr/share/ufo/ufo-basic-ops.cl is in libufo-data 0.15.1-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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const sampler_t imageSampler2 = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP_TO_EDGE | CLK_FILTER_NEAREST;
__kernel
void operation_set (__write_only image2d_t out,
const float value)
{
const uint X = get_global_id(0);
const uint Y = get_global_id(1);
int2 coord_w;
coord_w.x = X;
coord_w.y = Y;
write_imagef(out, coord_w, value);
}
__kernel
void operation_inv (__read_only image2d_t in,
__write_only image2d_t out)
{
const uint X = get_global_id(0);
const uint Y = get_global_id(1);
float2 coord_r;
coord_r.x = (float)X + 0.5f;
coord_r.y = (float)Y + 0.5f;
int2 coord_w;
coord_w.x = X;
coord_w.y = Y;
float value = read_imagef(in, imageSampler, coord_r).s0;
value = (value != 0)? 1.0f / value : 0;
write_imagef(out, coord_w, value);
}
__kernel
void operation_mul (__read_only image2d_t arg1_r,
__read_only image2d_t arg2_r,
__write_only image2d_t out)
{
const uint X = get_global_id(0);
const uint Y = get_global_id(1);
float2 coord_r;
coord_r.x = (float)X + 0.5f;
coord_r.y = (float)Y + 0.5f;
int2 coord_w;
coord_w.x = X;
coord_w.y = Y;
float value = read_imagef(arg1_r, imageSampler, coord_r).s0 *
read_imagef(arg2_r, imageSampler, coord_r).s0;
write_imagef(out, coord_w, value);
}
__kernel
void operation_add (__read_only image2d_t arg1_r,
__read_only image2d_t arg2_r,
__write_only image2d_t out)
{
const uint X = get_global_id(0);
const uint Y = get_global_id(1);
float2 coord_r;
coord_r.x = (float)X + 0.5f;
coord_r.y = (float)Y + 0.5f;
int2 coord_w;
coord_w.x = X;
coord_w.y = Y;
float value = read_imagef(arg1_r, imageSampler, coord_r).s0 +
read_imagef(arg2_r, imageSampler, coord_r).s0;
write_imagef(out, coord_w, value);
}
__kernel
void operation_deduction (__read_only image2d_t arg1_r,
__read_only image2d_t arg2_r,
__write_only image2d_t out)
{
const uint X = get_global_id(0);
const uint Y = get_global_id(1);
float2 coord_r;
coord_r.x = (float)X + 0.5f;
coord_r.y = (float)Y + 0.5f;
int2 coord_w;
coord_w.x = X;
coord_w.y = Y;
float value = read_imagef(arg1_r, imageSampler, coord_r).s0 -
read_imagef(arg2_r, imageSampler, coord_r).s0;
write_imagef(out, coord_w, value);
}
__kernel
void operation_deduction2 (__read_only image2d_t arg1_r,
__read_only image2d_t arg2_r,
const float modifier,
__write_only image2d_t out)
{
const uint X = get_global_id(0);
const uint Y = get_global_id(1);
float2 coord_r;
coord_r.x = (float)X + 0.5f;
coord_r.y = (float)Y + 0.5f;
int2 coord_w;
coord_w.x = X;
coord_w.y = Y;
float value = read_imagef(arg1_r, imageSampler, coord_r).s0 -
modifier * read_imagef(arg2_r, imageSampler, coord_r).s0;
write_imagef(out, coord_w, value);
}
__kernel
void operation_add2 (__read_only image2d_t arg1_r,
__read_only image2d_t arg2_r,
const float modifier,
__write_only image2d_t out)
{
const uint X = get_global_id(0);
const uint Y = get_global_id(1);
float2 coord_r;
coord_r.x = (float)X + 0.5f;
coord_r.y = (float)Y + 0.5f;
int2 coord_w;
coord_w.x = X;
coord_w.y = Y;
float value = read_imagef(arg1_r, imageSampler, coord_r).s0 +
modifier * read_imagef(arg2_r, imageSampler, coord_r).s0;
write_imagef(out, coord_w, value);
}
__kernel
void op_mulRows (__read_only image2d_t arg1_r,
__read_only image2d_t arg2_r,
__write_only image2d_t out,
const uint offset)
{
const uint X = get_global_id(0);
const uint Y = get_global_id(1);
float2 coord_r;
coord_r.x = (float)X + 0.5f;
coord_r.y = (float)offset + (float)Y + 0.5f;
int2 coord_w;
coord_w.x = X;
coord_w.y = offset + Y;
float value = read_imagef(arg1_r, imageSampler, coord_r).s0 *
read_imagef(arg2_r, imageSampler, coord_r).s0;
write_imagef(out, coord_w, value);
}
__kernel
void operation_gradient_magnitude (__read_only image2d_t arg_r,
__write_only image2d_t out)
{
const uint X = get_global_id(0);
const uint Y = get_global_id(1);
int2 coord_w;
coord_w.x = X;
coord_w.y = Y;
float2 coord_r[5];
coord_r[0].x = (float)X + 0.5f;
coord_r[0].y = (float)Y + 0.5f;
coord_r[1].x = coord_r[0].x + 1;
coord_r[1].y = coord_r[0].y;
coord_r[2].x = coord_r[0].x - 1;
coord_r[2].y = coord_r[0].y;
coord_r[3].x = coord_r[0].x;
coord_r[3].y = coord_r[0].y + 1;
coord_r[4].x = coord_r[0].x;
coord_r[4].y = coord_r[0].y - 1;
float cell_value = read_imagef(arg_r, imageSampler2, coord_r[0]).s0;
float d1 = read_imagef(arg_r, imageSampler2, coord_r[1]).s0 - cell_value;
float d2 = read_imagef(arg_r, imageSampler2, coord_r[2]).s0 - cell_value;
float d3 = read_imagef(arg_r, imageSampler2, coord_r[3]).s0 - cell_value;
float d4 = read_imagef(arg_r, imageSampler2, coord_r[4]).s0 - cell_value;
float value = sqrt ( (pow (d1, 2) + pow (d2, 2) + pow (d3, 2) + pow (d4, 2)) / 2.0f);
write_imagef(out, coord_w, value);
}
__kernel
void operation_gradient_direction (__read_only image2d_t arg_r,
__read_only image2d_t magnitude,
__write_only image2d_t out)
{
const uint X = get_global_id(0);
const uint Y = get_global_id(1);
int2 coord_w;
coord_w.x = X;
coord_w.y = Y;
float2 coord_r[5];
coord_r[0].x = (float)X + 0.5f;
coord_r[0].y = (float)Y + 0.5f;
coord_r[1].x = coord_r[0].x + 1;
coord_r[1].y = coord_r[0].y;
coord_r[2].x = coord_r[0].x - 1;
coord_r[2].y = coord_r[0].y;
coord_r[3].x = coord_r[0].x;
coord_r[3].y = coord_r[0].y + 1;
coord_r[4].x = coord_r[0].x;
coord_r[4].y = coord_r[0].y - 1;
float values[5];
values[0] = read_imagef(arg_r, imageSampler2, coord_r[0]).s0;
values[1] = read_imagef(arg_r, imageSampler2, coord_r[1]).s0;
values[2] = read_imagef(arg_r, imageSampler2, coord_r[2]).s0;
values[3] = read_imagef(arg_r, imageSampler2, coord_r[3]).s0;
values[4] = read_imagef(arg_r, imageSampler2, coord_r[4]).s0;
float magnitudes[5];
magnitudes[0] = read_imagef(magnitude, imageSampler2, coord_r[0]).s0;
magnitudes[1] = read_imagef(magnitude, imageSampler2, coord_r[1]).s0;
magnitudes[2] = read_imagef(magnitude, imageSampler2, coord_r[2]).s0;
magnitudes[3] = read_imagef(magnitude, imageSampler2, coord_r[3]).s0;
magnitudes[4] = read_imagef(magnitude, imageSampler2, coord_r[4]).s0;
float direction = 0;
if (magnitudes[0]) direction += (4 * values[0] - values[1] - values[2] - values[3] - values[4]) / magnitudes[0];
if (magnitudes[1]) direction += (values[0] - values[1]) / magnitudes[1];
if (magnitudes[2]) direction += (values[0] - values[2]) / magnitudes[2];
if (magnitudes[3]) direction += (values[0] - values[3]) / magnitudes[3];
if (magnitudes[4]) direction += (values[0] - values[4]) / magnitudes[4];
write_imagef(out, coord_w, direction);
}
__kernel
void POSC (__read_only image2d_t arg_r,
__write_only image2d_t out)
{
const uint X = get_global_id(0);
const uint Y = get_global_id(1);
int2 coord_w;
coord_w.x = X;
coord_w.y = Y;
float2 coord_r;
coord_r.x = X + 0.5f;
coord_r.y = Y + 0.5f;
float value = read_imagef(arg_r, imageSampler2, coord_r).s0;
value = value > 0 ? value : 0;
write_imagef(out, coord_w, value);
}
__kernel
void descent_grad (__read_only image2d_t arg_r,
__write_only image2d_t out)
{
const uint X = get_global_id(0);
const uint Y = get_global_id(1);
int2 coord_w;
coord_w.x = X;
coord_w.y = Y;
float2 coord_r[7];
coord_r[0].x = X;
coord_r[0].y = Y;
coord_r[1].x = coord_r[0].x - 1;
coord_r[1].y = coord_r[0].y;
coord_r[2].x = coord_r[0].x;
coord_r[2].y = coord_r[0].y - 1;
coord_r[3].x = coord_r[0].x + 1;
coord_r[3].y = coord_r[0].y;
coord_r[4].x = coord_r[0].x;
coord_r[4].y = coord_r[0].y + 1;
coord_r[5].x = coord_r[0].x + 1;
coord_r[5].y = coord_r[0].y - 1;
coord_r[6].x = coord_r[0].x - 1;
coord_r[6].y = coord_r[0].y + 1;
float eps = 1E-8;
float values[7];
values[0] = read_imagef(arg_r, imageSampler2, coord_r[0]).s0;
values[1] = read_imagef(arg_r, imageSampler2, coord_r[1]).s0;
values[2] = read_imagef(arg_r, imageSampler2, coord_r[2]).s0;
values[3] = read_imagef(arg_r, imageSampler2, coord_r[3]).s0;
values[4] = read_imagef(arg_r, imageSampler2, coord_r[4]).s0;
values[5] = read_imagef(arg_r, imageSampler2, coord_r[5]).s0;
values[6] = read_imagef(arg_r, imageSampler2, coord_r[6]).s0;
float t1, t2;
float part[3];
t1 = values[0] - values[1];
t2 = values[0] - values[2];
part[0] = (t1 + t2) / sqrt(eps + pow(t1, 2) + pow (t2, 2));
t1 = values[3] - values[0];
t2 = values[3] - values[5];
part[1] = t1 / sqrt(eps + pow(t1, 2) + pow (t2, 2));
t1 = values[4] - values[0];
t2 = values[4] - values[6];
part[2] = t1 / sqrt(eps + pow(t1, 2) + pow (t2, 2));
float value = part[0] - part[1] - part[2];
write_imagef(out, coord_w, value);
}
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