I'm trying to run FP16 person-detection-retail-0013 and person-reidentification-retail-0079 on Intel Neural Compute Stick hardware, but once I run the application to load the nets on the device I get this exception:
[INFERENCE ENGINE EXCEPTION] Dynamic batch is not supported
I've load the net with setting of the max batch size to 1 and I've started my project from the pedestrian tracker demo into the OpenVINO toolkit:
main.cpp --> CreatePedestrianTracker
CnnConfig reid_config(reid_model, reid_weights);
reid_config.max_batch_size = 16;
try {
if (ie.GetConfig(deviceName, CONFIG_KEY(DYN_BATCH_ENABLED)).as<std::string>() !=
PluginConfigParams::YES) {
reid_config.max_batch_size = 1;
std::cerr << "[DEBUG] Dynamic batch is not supported for " << deviceName << ". Fall back
to batch 1." << std::endl;
}
}
catch (const InferenceEngine::details::InferenceEngineException& e) {
reid_config.max_batch_size = 1;
std::cerr << e.what() << " for " << deviceName << ". Fall back to batch 1." << std::endl;
}
Cnn.cpp --> void CnnBase::InferBatch
void CnnBase::InferBatch(
const std::vector<cv::Mat>& frames,
std::function<void(const InferenceEngine::BlobMap&, size_t)> fetch_results) const {
const size_t batch_size = input_blob_->getTensorDesc().getDims()[0];
size_t num_imgs = frames.size();
for (size_t batch_i = 0; batch_i < num_imgs; batch_i += batch_size) {
const size_t current_batch_size = std::min(batch_size, num_imgs - batch_i);
for (size_t b = 0; b < current_batch_size; b++) {
matU8ToBlob<uint8_t>(frames[batch_i + b], input_blob_, b);
}
if ((deviceName_.find("MYRIAD") == std::string::npos) && (deviceName_.find("HDDL") ==
std::string::npos)) {
infer_request_.SetBatch(current_batch_size);
}
infer_request_.Infer();
fetch_results(outputs_, current_batch_size);
}
}
I suppose that the problem could be the topology of the detection net, but I ask if anyone has had the same problem and solved the issue.
Thank's.
I am afraid, myriad plugin does not support dynamic batch. Please try an updated version of the demo. You can find it, for example, here: https://github.com/opencv/open_model_zoo/tree/master/demos/pedestrian_tracker_demo The demo is updated not to use dynamic batch at all.