/* * GStreamer gstreamer-objectdetectorutils * Copyright (C) 2023 Collabora Ltd * * gstobjectdetectorutils.cpp * * This library is free software; you can redistribute it and/or * modify it under the terms of the GNU Library General Public * License as published by the Free Software Foundation; either * version 2 of the License, or (at your option) any later version. * * This library is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU * Library General Public License for more details. * * You should have received a copy of the GNU Library General Public * License along with this library; if not, write to the * Free Software Foundation, Inc., 51 Franklin St, Fifth Floor, * Boston, MA 02110-1301, USA. */ #include "gstobjectdetectorutils.h" #include GstMlBoundingBox::GstMlBoundingBox (std::string lbl, float score, float _x0, float _y0, float _width, float _height): label (lbl), score (score), x0 (_x0), y0 (_y0), width (_width), height (_height) { } GstMlBoundingBox::GstMlBoundingBox (): GstMlBoundingBox ("", 0.0f, 0.0f, 0.0f, 0.0f, 0.0f) { } namespace GstObjectDetectorUtils { GstObjectDetectorUtils::GstObjectDetectorUtils () { } std::vector < std::string > GstObjectDetectorUtils::ReadLabels (const std::string & labelsFile) { std::vector < std::string > labels; std::string line; std::ifstream fp (labelsFile); while (std::getline (fp, line)) labels.push_back (line); return labels; } std::vector < GstMlBoundingBox > GstObjectDetectorUtils::run (int32_t w, int32_t h, GstTensorMeta * tmeta, std::string labelPath, float scoreThreshold) { auto classIndex = gst_tensor_meta_get_index_from_id (tmeta, g_quark_from_static_string (GST_MODEL_OBJECT_DETECTOR_CLASSES)); if (classIndex == GST_TENSOR_MISSING_ID) { GST_ERROR ("Missing class tensor id"); return std::vector < GstMlBoundingBox > (); } auto type = tmeta->tensor[classIndex].type; return (type == GST_TENSOR_TYPE_FLOAT32) ? doRun < float >(w, h, tmeta, labelPath, scoreThreshold) : doRun < int >(w, h, tmeta, labelPath, scoreThreshold); } template < typename T > std::vector < GstMlBoundingBox > GstObjectDetectorUtils::doRun (int32_t w, int32_t h, GstTensorMeta * tmeta, std::string labelPath, float scoreThreshold) { std::vector < GstMlBoundingBox > boundingBoxes; GstMapInfo map_info[GstObjectDetectorMaxNodes]; GstMemory *memory[GstObjectDetectorMaxNodes] = { NULL }; std::vector < std::string > labels; gint index; T *numDetections = nullptr, *bboxes = nullptr, *scores = nullptr, *labelIndex = nullptr; // number of detections index = gst_tensor_meta_get_index_from_id (tmeta, g_quark_from_static_string (GST_MODEL_OBJECT_DETECTOR_NUM_DETECTIONS)); if (index == GST_TENSOR_MISSING_ID) { GST_WARNING ("Missing tensor data for tensor index %d", index); goto cleanup; } memory[index] = gst_buffer_peek_memory (tmeta->tensor[index].data, 0); if (!memory[index]) { GST_WARNING ("Missing tensor data for tensor index %d", index); goto cleanup; } if (!gst_memory_map (memory[index], map_info + index, GST_MAP_READ)) { GST_WARNING ("Failed to map tensor memory for index %d", index); goto cleanup; } numDetections = (T *) map_info[index].data; // bounding boxes index = gst_tensor_meta_get_index_from_id (tmeta, g_quark_from_static_string(GST_MODEL_OBJECT_DETECTOR_BOXES)); if (index == GST_TENSOR_MISSING_ID) { GST_WARNING ("Missing tensor data for tensor index %d", index); goto cleanup; } memory[index] = gst_buffer_peek_memory (tmeta->tensor[index].data, 0); if (!memory[index]) { GST_WARNING ("Failed to map tensor memory for index %d", index); goto cleanup; } if (!gst_memory_map (memory[index], map_info + index, GST_MAP_READ)) { GST_ERROR ("Failed to map GstMemory"); goto cleanup; } bboxes = (T *) map_info[index].data; // scores index = gst_tensor_meta_get_index_from_id (tmeta, g_quark_from_static_string (GST_MODEL_OBJECT_DETECTOR_SCORES)); if (index == GST_TENSOR_MISSING_ID) { GST_ERROR ("Missing scores tensor id"); goto cleanup; } memory[index] = gst_buffer_peek_memory (tmeta->tensor[index].data, 0); if (!memory[index]) { GST_WARNING ("Missing tensor data for tensor index %d", index); goto cleanup; } if (!gst_memory_map (memory[index], map_info + index, GST_MAP_READ)) { GST_ERROR ("Failed to map GstMemory"); goto cleanup; } scores = (T *) map_info[index].data; // optional label labelIndex = nullptr; index = gst_tensor_meta_get_index_from_id (tmeta, g_quark_from_static_string (GST_MODEL_OBJECT_DETECTOR_CLASSES)); if (index != GST_TENSOR_MISSING_ID) { memory[index] = gst_buffer_peek_memory (tmeta->tensor[index].data, 0); if (!memory[index]) { GST_WARNING ("Missing tensor data for tensor index %d", index); goto cleanup; } if (!gst_memory_map (memory[index], map_info + index, GST_MAP_READ)) { GST_ERROR ("Failed to map GstMemory"); goto cleanup; } labelIndex = (T *) map_info[index].data; } if (!labelPath.empty ()) labels = ReadLabels (labelPath); for (int i = 0; i < numDetections[0]; ++i) { if (scores[i] > scoreThreshold) { std::string label = ""; if (labelIndex && !labels.empty ()) label = labels[labelIndex[i] - 1]; auto score = scores[i]; auto y0 = bboxes[i * 4] * h; auto x0 = bboxes[i * 4 + 1] * w; auto bheight = bboxes[i * 4 + 2] * h - y0; auto bwidth = bboxes[i * 4 + 3] * w - x0; boundingBoxes.push_back (GstMlBoundingBox (label, score, x0, y0, bwidth, bheight)); } } cleanup: for (int i = 0; i < GstObjectDetectorMaxNodes; ++i) { if (memory[i]) gst_memory_unmap (memory[i], map_info + i); } return boundingBoxes; } }