|
- 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?
- 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
- Post process the peoplenet v2 output - NVIDIA Developer Forums
Hey, I’m trying to use the Peoplenet model in my local setup, and I’ve successfully loaded the model using ONNX Runtime The model returns two outputs with shapes (1, 12, 34, 60) and (1, 3, 34, 60) From my understanding, one represents the bounding box (bbox) and the other represents class confidence, with results corresponding to each grid cell However, I’m not getting a clear
- PeopleNet Integration with deepstream - DeepStream SDK - NVIDIA . . .
Hardware Platform GPU DeepStream Version: 7 0 TensorRT Version 8 6 1 6 NVIDIA GPU Driver Version 535 247 01 Issue Type: Question How to reproduce the issue? This is happening with the sample app present in the tao_reference for the bodypose 3d model Happening only with Peoplenet integration with deepstream application
- 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
- Run peoplenet on python virtual environment without jetson
run nvidia engine model on camera stream Could you please follow the above-mentioned steps mentioned in Run peoplenet on python virtual environment without jetson - #2 by Morganh to run inference? It will run inside a deepstream docker
- 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
- NanoOWL vs PeopleNet - Jetson Orin Nano - NVIDIA Developer Forums
Thank you for your help I will use PeopleNet for people detection I still have 2 more questions: Does run in Jetson Orin Nano? For a flight of 30 minutes and sending the images for a outside user… Could I use the NanoOwl for infrastructure inspection? Can detect flaws or it isn’t prepared for that?
|
|
|