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How to run PeopleNet in FP16 mode in DeepStream 7. 0? Thanks for pointing out to the correct files! NVIDIA NGC Catalog PeopleNet | NVIDIA NGC 3 class object detection network to detect people in an image So, even though the ONNX models have “_int8” suffix, they can still run in FP16 or FP32 mode during nvinfer?
Unable to run PeopleNet - Engine file generation failure Thank you very much, these files are working! In the future, for reference, how can I check the TensorRT version in my DeepStream installation and match that with the models downloaded from NGC Catalog?
Terminate called after throwing an instance of std::bad_alloc Description Trying to test peoplenet model with TensorRT-10 12 0 36 sample code sampleINT8API My peoplenet model is peoplenet_pruned_quantized_decrypted_v2 3 4 This is range file in which Hex values are converted to Dec values resnet34_peoplenet_int8_fixed txt (20 7 KB) Profile is also set as below in the code IOptimizationProfile* profile = builder->createOptimizationProfile(); profile
Peoplenet FaceDet in Deepstream 7. 1 - NVIDIA Developer Forums Hi, I am trying to use the peoplenet detection model in deepstream 7 1 The model card precise that the model can be use with deepstream > 6 1 It seems that the latest version is still UFF, which is not supported Is there a plan from NVidia to share models that are compatible with Deepstream 7 and up for older models like peoplenet, facedet and so on ? I’d like to precise that I tried
How to train fine-tune PeopleNet on 10 classes? Yes, but it is suggested to use YOLO_v4_tiny network instead to finetune so many classes It will get much better result then detecnet_v2 network
How do I run PeopleNet + NvDeepSORT? - NVIDIA Developer Forums • Hardware Platform (Jetson GPU) NVIDIA RTX A3000 • DeepStream Version 6 2 • TensorRT Version • NVIDIA GPU Driver Version (valid for GPU only) I was reading this Gst-nvtracker — DeepStream 6 2 Release documentation I want to run PeopleNet + NvDeepSORT on my Ubuntu device How do I do it?
How to run peoplenet on a folder of images? - TAO Toolkit - NVIDIA . . . peoplenet Im not sure if this is the right place to ask but I’m using peoplenet quantized engine on my custom deepstream app Now to compare with other models like yolov5 I want to run in on my custom dataset, that is a folder of images and get the inference results as txt However I couldn’t find a reliable way of doing that