2017-11-30 20:43:49 +08:00
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (c) 2016-2017 Fabian David Tschopp, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#define Dtype float
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#define Dtype4 float4
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__kernel void DecodeBBoxesCORNER(const int nthreads,
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__global const Dtype* loc_data,
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__global const Dtype* prior_data,
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const int variance_encoded_in_target,
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const int num_priors,
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const int share_location,
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const int num_loc_classes,
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const int background_label_id,
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const int clip_bbox,
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2018-02-11 18:12:25 +08:00
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const int locPredTransposed,
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2017-11-30 20:43:49 +08:00
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__global Dtype* bbox_data)
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{
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for (int index = get_global_id(0); index < nthreads; index += get_global_size(0))
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{
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Dtype bbox_xmin, bbox_ymin, bbox_xmax, bbox_ymax;
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const int i = index % 4;
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const int p = ((index / 4 / num_loc_classes) % num_priors) * 4;
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const int c = (index / 4) % num_loc_classes;
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int label = share_location ? -1 : c;
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if (label == background_label_id)
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return; // Ignore background class.
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Dtype4 loc_vec = vload4(0, loc_data + index - i);
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Dtype4 bbox_vec, prior_variance;
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if (variance_encoded_in_target)
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{
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bbox_vec = loc_vec;
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} else {
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const int start_index = num_priors * 4 + p;
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prior_variance = vload4(0, prior_data + start_index);
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bbox_vec = loc_vec * prior_variance;
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}
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2018-02-11 18:12:25 +08:00
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if (locPredTransposed)
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{
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bbox_ymin = bbox_vec.x;
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bbox_xmin = bbox_vec.y;
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bbox_ymax = bbox_vec.z;
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bbox_xmax = bbox_vec.w;
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} else {
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bbox_xmin = bbox_vec.x;
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bbox_ymin = bbox_vec.y;
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bbox_xmax = bbox_vec.z;
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bbox_ymax = bbox_vec.w;
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}
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2017-11-30 20:43:49 +08:00
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Dtype4 prior_vec = vload4(0, prior_data + p);
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Dtype val;
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switch (i)
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{
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case 0:
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val = prior_vec.x + bbox_xmin;
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break;
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case 1:
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val = prior_vec.y + bbox_ymin;
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break;
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case 2:
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val = prior_vec.z + bbox_xmax;
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break;
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case 3:
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val = prior_vec.w + bbox_ymax;
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break;
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}
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if (clip_bbox)
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val = max(min(val, (Dtype)1.), (Dtype)0.);
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bbox_data[index] = val;
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}
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}
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__kernel void DecodeBBoxesCENTER_SIZE(const int nthreads,
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__global const Dtype* loc_data,
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__global const Dtype* prior_data,
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const int variance_encoded_in_target,
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const int num_priors,
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const int share_location,
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const int num_loc_classes,
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const int background_label_id,
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const int clip_bbox,
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2018-02-11 18:12:25 +08:00
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const int locPredTransposed,
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2017-11-30 20:43:49 +08:00
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__global Dtype* bbox_data)
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{
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for (int index = get_global_id(0); index < nthreads; index += get_global_size(0))
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{
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Dtype bbox_xmin, bbox_ymin, bbox_xmax, bbox_ymax;
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const int i = index % 4;
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const int p = ((index / 4 / num_loc_classes) % num_priors) * 4;
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const int c = (index / 4) % num_loc_classes;
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int label = share_location ? -1 : c;
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if (label == background_label_id)
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return; // Ignore background class.
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Dtype4 loc_vec = vload4(0, loc_data + index - i);
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Dtype4 bbox_vec, prior_variance;
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if (variance_encoded_in_target)
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{
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bbox_vec = loc_vec;
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} else {
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const int start_index = num_priors * 4 + p;
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prior_variance = vload4(0, prior_data + start_index);
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bbox_vec = loc_vec * prior_variance;
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}
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2018-02-11 18:12:25 +08:00
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if (locPredTransposed)
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{
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bbox_ymin = bbox_vec.x;
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bbox_xmin = bbox_vec.y;
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bbox_ymax = bbox_vec.z;
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bbox_xmax = bbox_vec.w;
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} else {
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bbox_xmin = bbox_vec.x;
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bbox_ymin = bbox_vec.y;
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bbox_xmax = bbox_vec.z;
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bbox_ymax = bbox_vec.w;
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}
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2017-11-30 20:43:49 +08:00
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Dtype4 prior_vec = vload4(0, prior_data + p);
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Dtype prior_width = prior_vec.z - prior_vec.x;
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Dtype prior_height = prior_vec.w - prior_vec.y;
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Dtype prior_center_x = (prior_vec.x + prior_vec.z) * .5;
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Dtype prior_center_y = (prior_vec.y + prior_vec.w) * .5;
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Dtype decode_bbox_center_x, decode_bbox_center_y;
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Dtype decode_bbox_width, decode_bbox_height;
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decode_bbox_center_x = bbox_xmin * prior_width + prior_center_x;
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decode_bbox_center_y = bbox_ymin * prior_height + prior_center_y;
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decode_bbox_width = exp(bbox_xmax) * prior_width;
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decode_bbox_height = exp(bbox_ymax) * prior_height;
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Dtype val;
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switch (i)
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{
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case 0:
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val = decode_bbox_center_x - decode_bbox_width * .5;
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break;
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case 1:
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val = decode_bbox_center_y - decode_bbox_height * .5;
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break;
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case 2:
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val = decode_bbox_center_x + decode_bbox_width * .5;
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break;
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case 3:
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val = decode_bbox_center_y + decode_bbox_height * .5;
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break;
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}
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if (clip_bbox)
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val = max(min(val, (Dtype)1.), (Dtype)0.);
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bbox_data[index] = val;
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}
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}
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