All the objects detected by retinafce is not in the deepstream meta

[Athuliva]

I added this line to check the retinaface detections

 
        if(r.score<=VIS_THRESH) continue;
        std::cout << r.score << "\n";

and also a probe to the primary detector and print the bounding box info. some objects in the metafile is missing when compared with the print statement in .so file

  def dummy_probe(self, pad, info, u_data):

        gst_buffer = info.get_buffer()
        if not gst_buffer:
            logger.error("Unable to get GstBuffer ")
            return

        batch_meta = pyds.gst_buffer_get_nvds_batch_meta(hash(gst_buffer))
        if not batch_meta:
            return Gst.PadProbeReturn.OK

        l_frame = batch_meta.frame_meta_list
        while l_frame is not None:
            try:
                frame_meta = pyds.NvDsFrameMeta.cast(l_frame.data)
            except StopIteration:
                continue
            try:
                source_id = frame_meta.source_id
                payload = {}
                payload['objects'] = []
                l_obj = frame_meta.obj_meta_list
                while l_obj is not None:
                    try:
                        obj_meta = pyds.NvDsObjectMeta.cast(l_obj.data)
                    except StopIteration:
                        continue

                    object_ = {}
                    object_["y"] = obj_meta.rect_params.top / self.frame_height
                    object_['x'] = obj_meta.rect_params.left / self.frame_width
                    object_['w'] = obj_meta.rect_params.width / self.frame_width
                    object_['h'] = obj_meta.rect_params.height / self.frame_height
                    object_['class_id'] = self.labels[obj_meta.class_id]
                    object_['trackingId'] = obj_meta.object_id
                    object_['confidence'] = obj_meta.confidence
                    logger.debug(object_)
                    payload['objects'].append(object_)

                    try:
                        l_obj = l_obj.next
                    except StopIteration:
                        break
                print('\n'.join([str(o['confidence']) for o in payload['objects']]))

            except Exception as e:
                logger.error(str(e))
            try:
                l_frame = l_frame.next
            except StopIteration:
                break

        return Gst.PadProbeReturn.OK

[zhouyuchong]

I added this line to check the retinaface detections

 
        if(r.score<=VIS_THRESH) continue;
        std::cout << r.score << "\n";

and also a probe to the primary detector and print the bounding box info. some objects in the metafile is missing when compared with the print statement in .so file

  def dummy_probe(self, pad, info, u_data):

        gst_buffer = info.get_buffer()
        if not gst_buffer:
            logger.error("Unable to get GstBuffer ")
            return

        batch_meta = pyds.gst_buffer_get_nvds_batch_meta(hash(gst_buffer))
        if not batch_meta:
            return Gst.PadProbeReturn.OK

        l_frame = batch_meta.frame_meta_list
        while l_frame is not None:
            try:
                frame_meta = pyds.NvDsFrameMeta.cast(l_frame.data)
            except StopIteration:
                continue
            try:
                source_id = frame_meta.source_id
                payload = {}
                payload['objects'] = []
                l_obj = frame_meta.obj_meta_list
                while l_obj is not None:
                    try:
                        obj_meta = pyds.NvDsObjectMeta.cast(l_obj.data)
                    except StopIteration:
                        continue

                    object_ = {}
                    object_["y"] = obj_meta.rect_params.top / self.frame_height
                    object_['x'] = obj_meta.rect_params.left / self.frame_width
                    object_['w'] = obj_meta.rect_params.width / self.frame_width
                    object_['h'] = obj_meta.rect_params.height / self.frame_height
                    object_['class_id'] = self.labels[obj_meta.class_id]
                    object_['trackingId'] = obj_meta.object_id
                    object_['confidence'] = obj_meta.confidence
                    logger.debug(object_)
                    payload['objects'].append(object_)

                    try:
                        l_obj = l_obj.next
                    except StopIteration:
                        break
                print('\n'.join([str(o['confidence']) for o in payload['objects']]))

            except Exception as e:
                logger.error(str(e))
            try:
                l_frame = l_frame.next
            except StopIteration:
                break

        return Gst.PadProbeReturn.OK

Nice work!