tflite: Add Coral EdgeTPU inference element
Part-of: <https://gitlab.freedesktop.org/gstreamer/gstreamer/-/merge_requests/8523>
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@ -26,10 +26,20 @@
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#include "gsttfliteinference.h"
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#ifdef EDGETPU
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#include "gsttfliteedgetpuinference.h"
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#endif
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static gboolean
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plugin_init (GstPlugin *plugin)
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plugin_init (GstPlugin * plugin)
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{
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return GST_ELEMENT_REGISTER (tflite_inference, plugin);
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gboolean ret = GST_ELEMENT_REGISTER (tflite_inference, plugin);
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#ifdef EDGETPU
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ret |= GST_ELEMENT_REGISTER (tflite_edgetpu_inference, plugin);
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#endif
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return ret;
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}
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GST_PLUGIN_DEFINE (GST_VERSION_MAJOR,
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@ -0,0 +1,165 @@
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/*
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* GStreamer
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* Copyright (C) 2025 Collabora Ltd.
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*
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* gsttfliteedgetpuinference.c
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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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/**
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* SECTION:element-tfliteedgetpuinference
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* @short_description: Run TFLITE inference model on video buffers using a EdgeTpu device
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*
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* This element can apply an TFLITE model to video buffers. It attaches
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* the tensor output to the buffer as a @ref GstTensorMeta.
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*
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* Uses the Google Coral EdgeTpu devices.
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*
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* To install TFLITE on your system, follow the instructions in the
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* README.md in with this plugin.
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*
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* ## Example launch command:
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*
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* GST_DEBUG=ssdobjectdetector:5 \
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* gst-launch-1.0 filesrc location=tflite-models/images/bus.jpg ! \
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* jpegdec ! videoconvert ! tfliteedgetpuinference model-file=tflite-models/models/ssd_mobilenet_v1_coco.tflite ! \
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* ssdobjectdetector label-file=tflite-models/labels/COCO_classes.txt ! videoconvert ! imagefreeze ! autovideosink
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*
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*/
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#ifdef HAVE_CONFIG_H
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#include "config.h"
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#endif
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#include "gsttfliteedgetpuinference.h"
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#include <libedgetpu/edgetpu_c.h>
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typedef struct _GstTFliteEdgeTpuInference
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{
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GstTFliteInference parent;
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TfLiteDelegate *tflite_delegate;
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} GstTFliteEdgeTpuInference;
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GST_DEBUG_CATEGORY (tflite_edgetpu_inference_debug);
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#define GST_CAT_DEFAULT tflite_edgetpu_inference_debug
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GST_ELEMENT_REGISTER_DEFINE (tflite_edgetpu_inference,
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"tfliteedgetpuinference", GST_RANK_NONE, GST_TYPE_TFLITE_EDGETPU_INFERENCE);
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static gboolean gst_tflite_edgetpu_update_options (GstTFliteInference * inf,
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TfLiteInterpreterOptions * interpreter_options);
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static gboolean gst_tflite_edgetpu_inference_stop (GstBaseTransform * trans);
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G_DEFINE_TYPE (GstTFliteEdgeTpuInference, gst_tflite_edgetpu_inference,
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GST_TYPE_TFLITE_INFERENCE);
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static void
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gst_tflite_edgetpu_inference_class_init (GstTFliteEdgeTpuInferenceClass * klass)
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{
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GstElementClass *element_class = (GstElementClass *) klass;
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GstBaseTransformClass *basetransform_class = (GstBaseTransformClass *) klass;
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GstTFliteInferenceClass *tflite_class = (GstTFliteInferenceClass *) klass;
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GST_DEBUG_CATEGORY_INIT (tflite_edgetpu_inference_debug,
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"tfliteedgetpuinference", 0, "TFLlite edgetpu inference");
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gst_element_class_set_static_metadata (element_class,
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"tfliteedgetpuinference",
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"Filter/Effect",
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"Apply neural network to video frames and create tensor output"
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" using the Google Edge TPU",
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"Olivier Crête <olivier.crete@collabora.com>");
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basetransform_class->stop = gst_tflite_edgetpu_inference_stop;
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tflite_class->update_options = gst_tflite_edgetpu_update_options;
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}
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static void
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gst_tflite_edgetpu_inference_init (GstTFliteEdgeTpuInference * self)
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{
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}
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static gboolean
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gst_tflite_edgetpu_update_options (GstTFliteInference * inf,
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TfLiteInterpreterOptions * interpreter_options)
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{
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GstTFliteEdgeTpuInference *self = GST_TFLITE_EDGETPU_INFERENCE (inf);
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size_t num_devices = 0;
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struct edgetpu_device *devices;
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devices = edgetpu_list_devices (&num_devices);
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if (num_devices == 0) {
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GST_ERROR_OBJECT (self,
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"Could not create EdgeTPU session because no EdgeTPU"
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" device is connected");
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return FALSE;
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}
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/* Not passing options or a path for now */
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self->tflite_delegate = edgetpu_create_delegate (devices[0].type,
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devices[0].path, NULL, 0);
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if (self->tflite_delegate == NULL) {
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GST_ERROR_OBJECT (self, "Could not create EdgeTPU session");
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edgetpu_free_devices (devices);
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return FALSE;
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}
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const gchar *dev_type_str = "";
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switch (devices[0].type) {
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case EDGETPU_APEX_PCI:
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dev_type_str = "PCIe";
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break;
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case EDGETPU_APEX_USB:
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dev_type_str = "USB";
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break;
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default:
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dev_type_str = "unknown";
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break;
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}
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GST_DEBUG ("Using EdgeTPU version %s device of type %s at %s",
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edgetpu_version (), dev_type_str, devices[0].path);
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edgetpu_free_devices (devices);
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if (self->tflite_delegate)
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TfLiteInterpreterOptionsAddDelegate (interpreter_options,
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self->tflite_delegate);
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return TRUE;
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}
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static gboolean
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gst_tflite_edgetpu_inference_stop (GstBaseTransform * trans)
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{
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GstTFliteEdgeTpuInference *self = GST_TFLITE_EDGETPU_INFERENCE (trans);
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gboolean ret;
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ret = GST_BASE_TRANSFORM_CLASS (gst_tflite_edgetpu_inference_parent_class)
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->stop (trans);
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if (self->tflite_delegate)
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edgetpu_free_delegate (self->tflite_delegate);
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self->tflite_delegate = NULL;
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return ret;
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}
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@ -0,0 +1,39 @@
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/*
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* GStreamer gstreamer-tfliteinference
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* Copyright (C) 2024 Collabora Ltd
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*
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* gsttfliteinference.h
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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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#ifndef __GST_TFLITE_EDGETPU_INFERENCE_H__
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#define __GST_TFLITE_EDGETPU_INFERENCE_H__
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#include "gsttfliteinference.h"
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G_BEGIN_DECLS
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#define GST_TYPE_TFLITE_EDGETPU_INFERENCE (gst_tflite_edgetpu_inference_get_type())
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G_DECLARE_FINAL_TYPE (GstTFliteEdgeTpuInference, gst_tflite_edgetpu_inference, GST,
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TFLITE_EDGETPU_INFERENCE, GstTFliteInference)
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GST_ELEMENT_REGISTER_DECLARE (tflite_edgetpu_inference)
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G_END_DECLS
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#endif /* __GST_TFLITE_INFERENCE_H__ */
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@ -42,8 +42,6 @@
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#include "config.h"
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#endif
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#include "tensorflow/lite/c/c_api.h"
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#include <gst/gst.h>
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#include <gst/video/video.h>
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#include "gsttfliteinference.h"
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@ -511,6 +509,10 @@ gst_tflite_inference_start (GstBaseTransform * trans)
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priv->numberOfThreads);
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}
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if (klass->update_options)
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if (!klass->update_options (self, priv->interpreter_options))
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goto error;
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priv->interpreter = TfLiteInterpreterCreate (priv->model,
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priv->interpreter_options);
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if (!priv->interpreter) {
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@ -26,6 +26,8 @@
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#include <gst/gst.h>
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#include <gst/base/base.h>
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#include "tensorflow/lite/c/c_api.h"
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G_BEGIN_DECLS
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#define GST_TYPE_TFLITE_INFERENCE (gst_tflite_inference_get_type())
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@ -36,6 +38,9 @@ GST_ELEMENT_REGISTER_DECLARE (tflite_inference)
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struct _GstTFliteInferenceClass
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{
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GstBaseTransformClass basetransform;
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gboolean (*update_options) (GstTFliteInference * self,
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TfLiteInterpreterOptions * interpreter_options);
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};
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G_END_DECLS
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]
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tflite_headers = [
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'gstfliteinference.h'
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'gsttfliteinference.h',
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'gsttfliteedgetpuinference.h'
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]
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edgetpu_sources = [
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'gsttfliteedgetpuinference.c'
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]
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doc_sources = []
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foreach s: tflite_sources + tflite_headers
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foreach s: tflite_sources + tflite_headers + edgetpu_sources
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doc_sources += meson.current_source_dir() / s
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endforeach
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@ -29,6 +34,7 @@ tensorflow_lite_header_found = cc.has_header('tensorflow/lite/c/c_api.h',
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required: get_option('tflite'))
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if tensorflow_lite_dep.found() and tensorflow_lite_header_found
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tflite_extra_dep = []
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tflite_c_args = []
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if cc.has_header_symbol('tensorflow/lite/c/c_api.h', 'kTfLiteBFloat16',
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@ -36,12 +42,25 @@ if tensorflow_lite_dep.found() and tensorflow_lite_header_found
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tflite_c_args += ['-DTFLITE_HAS_BFLOAT16']
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endif
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edgetpu_dep = cc.find_library('edgetpu',
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required : get_option('tflite-edgetpu'))
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if edgetpu_dep.found() and cc.has_header('libedgetpu/edgetpu_c.h',
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dependencies: edgetpu_dep,
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required: get_option('tflite-edgetpu'))
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tflite_c_args += ['-DEDGETPU','-DTFLITE_USE_OPAQUE_DELEGATE=0',
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'-DTFLITE_WITH_STABLE_ABI=0']
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tflite_sources += edgetpu_sources
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tflite_extra_dep += [edgetpu_dep]
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endif
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gsttflite = library('gsttflite',
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tflite_sources,
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c_args : gst_plugins_bad_args + tflite_c_args,
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include_directories : [configinc, libsinc],
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dependencies : [gstbase_dep, gstvideo_dep, gstanalytics_dep,
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tensorflow_lite_dep,libm, gio_dep],
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tensorflow_lite_dep,libm, gio_dep, tflite_extra_dep],
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install : true,
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install_dir : plugins_install_dir,
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)
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option('svtjpegxs', type : 'feature', value : 'auto', description : 'Scalable Video Technology for JPEG-XS plugin')
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option('teletext', type : 'feature', value : 'auto', description : 'Teletext plugin')
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option('tflite', type : 'feature', value : 'auto', description : 'TensorFlow Lite (LiteRT) plugin')
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option('tflite-edgetpu', type : 'feature', value : 'auto', description : 'TensorFlow Lite (LiteRT) EdgeTPU (Coral) support')
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option('tinyalsa', type : 'feature', value : 'auto', description : 'TinyALSA plugin')
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option('transcode', type : 'feature', value : 'auto', description : 'Transcode plugin')
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option('ttml', type : 'feature', value : 'auto', description : 'TTML subtitle parser and renderer plugin')
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