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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?
- 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
- 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
- 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 run purpose built model Peoplenet on Jetson Nano in my own . . .
For clarity, I downloaded the peoplenet’s pruned model from ngc container peoplenet pruned model and used TLT converter downloaded for Jetson and converted the etlt file to TRT engine successfully I am able to use this generated engine file in deepstream-app, but I don’t find any references how to use it in my custom application
- Jetson-inference detectnet. py --model=peoplenet , no engine file
The first time I run detectnet py --model=perplenet, it will download peoplenet_deployable_quantized_v2 6 1 automatically but not all files can success download
- Deepstream6. 3 tao_pretrained_models | peopleNet . onnx to . engine
Deepstream6 3 tao_pretrained_models | peopleNet onnx to engine Accelerated Computing Intelligent Video Analytics DeepStream SDK
- Fail to convert peoplenet to int8 engine - NVIDIA Developer Forums
Hi, I flag the verbose option in trtexec command and the logs is attached Thank you logs txt (15 8 KB)
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