mirror of
https://gitlab.freedesktop.org/gstreamer/gstreamer.git
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194 lines
6.2 KiB
C++
194 lines
6.2 KiB
C++
/*
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* GStreamer gstreamer-objectdetectorutils
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* Copyright (C) 2023 Collabora Ltd
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*
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* gstobjectdetectorutils.cpp
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*
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* This library is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Library General Public
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* License as published by the Free Software Foundation; either
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* version 2 of the License, or (at your option) any later version.
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*
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* This library 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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* Library General Public License for more details.
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*
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* You should have received a copy of the GNU Library General Public
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* License along with this library; if not, write to the
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* Free Software Foundation, Inc., 51 Franklin St, Fifth Floor,
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* Boston, MA 02110-1301, USA.
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*/
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#include "gstobjectdetectorutils.h"
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#include <fstream>
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GstMlBoundingBox::GstMlBoundingBox (std::string lbl, float score, float _x0,
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float _y0, float _width, float _height):
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label (lbl),
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score (score),
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x0 (_x0),
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y0 (_y0),
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width (_width),
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height (_height)
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{
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}
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GstMlBoundingBox::GstMlBoundingBox ():
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GstMlBoundingBox ("", 0.0f, 0.0f, 0.0f, 0.0f, 0.0f)
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{
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}
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namespace GstObjectDetectorUtils
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{
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GstObjectDetectorUtils::GstObjectDetectorUtils ()
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{
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}
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std::vector < std::string >
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GstObjectDetectorUtils::ReadLabels (const std::string & labelsFile)
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{
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std::vector < std::string > labels;
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std::string line;
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std::ifstream fp (labelsFile);
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while (std::getline (fp, line))
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labels.push_back (line);
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return labels;
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}
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std::vector < GstMlBoundingBox > GstObjectDetectorUtils::run (int32_t w,
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int32_t h, GstTensorMeta * tmeta, std::string labelPath,
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float scoreThreshold)
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{
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auto classIndex = gst_tensor_meta_get_index_from_id (tmeta,
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g_quark_from_static_string (GST_MODEL_OBJECT_DETECTOR_CLASSES));
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if (classIndex == GST_TENSOR_MISSING_ID) {
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GST_ERROR ("Missing class tensor id");
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return std::vector < GstMlBoundingBox > ();
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}
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auto type = tmeta->tensor[classIndex].type;
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return (type == GST_TENSOR_TYPE_FLOAT32) ?
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doRun < float >(w, h, tmeta, labelPath, scoreThreshold)
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: doRun < int >(w, h, tmeta, labelPath, scoreThreshold);
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}
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template < typename T > std::vector < GstMlBoundingBox >
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GstObjectDetectorUtils::doRun (int32_t w, int32_t h,
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GstTensorMeta * tmeta, std::string labelPath, float scoreThreshold)
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{
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std::vector < GstMlBoundingBox > boundingBoxes;
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GstMapInfo map_info[GstObjectDetectorMaxNodes];
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GstMemory *memory[GstObjectDetectorMaxNodes] = { NULL };
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std::vector < std::string > labels;
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gint index;
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T *numDetections = nullptr, *bboxes = nullptr, *scores =
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nullptr, *labelIndex = nullptr;
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// number of detections
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index = gst_tensor_meta_get_index_from_id (tmeta,
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g_quark_from_static_string (GST_MODEL_OBJECT_DETECTOR_NUM_DETECTIONS));
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if (index == GST_TENSOR_MISSING_ID) {
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GST_WARNING ("Missing tensor data for tensor index %d", index);
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goto cleanup;
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}
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memory[index] = gst_buffer_peek_memory (tmeta->tensor[index].data, 0);
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if (!memory[index]) {
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GST_WARNING ("Missing tensor data for tensor index %d", index);
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goto cleanup;
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}
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if (!gst_memory_map (memory[index], map_info + index, GST_MAP_READ)) {
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GST_WARNING ("Failed to map tensor memory for index %d", index);
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goto cleanup;
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}
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numDetections = (T *) map_info[index].data;
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// bounding boxes
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index =
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gst_tensor_meta_get_index_from_id (tmeta,
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g_quark_from_static_string(GST_MODEL_OBJECT_DETECTOR_BOXES));
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if (index == GST_TENSOR_MISSING_ID) {
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GST_WARNING ("Missing tensor data for tensor index %d", index);
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goto cleanup;
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}
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memory[index] = gst_buffer_peek_memory (tmeta->tensor[index].data, 0);
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if (!memory[index]) {
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GST_WARNING ("Failed to map tensor memory for index %d", index);
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goto cleanup;
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}
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if (!gst_memory_map (memory[index], map_info + index, GST_MAP_READ)) {
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GST_ERROR ("Failed to map GstMemory");
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goto cleanup;
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}
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bboxes = (T *) map_info[index].data;
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// scores
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index =
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gst_tensor_meta_get_index_from_id (tmeta,
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g_quark_from_static_string (GST_MODEL_OBJECT_DETECTOR_SCORES));
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if (index == GST_TENSOR_MISSING_ID) {
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GST_ERROR ("Missing scores tensor id");
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goto cleanup;
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}
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memory[index] = gst_buffer_peek_memory (tmeta->tensor[index].data, 0);
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if (!memory[index]) {
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GST_WARNING ("Missing tensor data for tensor index %d", index);
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goto cleanup;
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}
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if (!gst_memory_map (memory[index], map_info + index, GST_MAP_READ)) {
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GST_ERROR ("Failed to map GstMemory");
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goto cleanup;
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}
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scores = (T *) map_info[index].data;
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// optional label
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labelIndex = nullptr;
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index =
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gst_tensor_meta_get_index_from_id (tmeta,
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g_quark_from_static_string (GST_MODEL_OBJECT_DETECTOR_CLASSES));
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if (index != GST_TENSOR_MISSING_ID) {
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memory[index] = gst_buffer_peek_memory (tmeta->tensor[index].data, 0);
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if (!memory[index]) {
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GST_WARNING ("Missing tensor data for tensor index %d", index);
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goto cleanup;
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}
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if (!gst_memory_map (memory[index], map_info + index, GST_MAP_READ)) {
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GST_ERROR ("Failed to map GstMemory");
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goto cleanup;
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}
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labelIndex = (T *) map_info[index].data;
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}
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if (!labelPath.empty ())
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labels = ReadLabels (labelPath);
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for (int i = 0; i < numDetections[0]; ++i) {
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if (scores[i] > scoreThreshold) {
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std::string label = "";
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if (labelIndex && !labels.empty ())
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label = labels[labelIndex[i] - 1];
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auto score = scores[i];
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auto y0 = bboxes[i * 4] * h;
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auto x0 = bboxes[i * 4 + 1] * w;
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auto bheight = bboxes[i * 4 + 2] * h - y0;
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auto bwidth = bboxes[i * 4 + 3] * w - x0;
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boundingBoxes.push_back (GstMlBoundingBox (label, score, x0, y0, bwidth,
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bheight));
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}
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}
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cleanup:
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for (int i = 0; i < GstObjectDetectorMaxNodes; ++i) {
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if (memory[i])
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gst_memory_unmap (memory[i], map_info + i);
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}
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return boundingBoxes;
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}
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}
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