Please provide the following information when requesting support. • Hardware (Jetson TX2 xavier NX JetPack4.6) • Network Type (bodypostNet) • TLT Version (Please run “tlt info --verbose” and share “docker_tag” here) • Training spec file(If have, please share here) • How to reproduce the issue ?…

Please modify deepstream_bodypose2d_app.cpp( deepstream_tao_apps/deepstream_bodypose2d_app.cpp at master · NVIDIA-AI-IOT/deepstream_tao_apps · GitHub ) and then make clean and make. $ vim deepstream_bodypose2d_app.cpp //cvcore::ModelInputParams ModelInputParams = {8, 384, 288, cvcore::RGB_U8}; cvco…

Hi, This looks more related to Deepstream. We are moving this post to the Deepstream forum to get better help. Thank you.

[image] yezhouyin: vim bodypose2d_pgie_config.txt … int8-calib-file=…/…/models/bodypose2d/int8_calibration_320_448.txt infer-dims=3;320;384 network-mode=1 … If you run with the default official model, please keep the original setting. Please check if you can run with the default setting…

Thank you for your attention, these are two problems, 1. It is possible to use the default configuration of 3x288x384 with int8, but the effect is too bad. I want to use a larger size of 3x320x448 on int8, but an error is reported; 2. From fp16 to int8 detection The effect is too bad, I don’t know i…

Thank you for your attention. The default configuration of 3x288x384 can be run with int8, but the effect is too bad. I want to use a larger size of 3x320x448 on int8. The official also gave 3 calibration files for reference: https://catalog.ngc . nvidia.com/orgs/nvidia/teams/tao/models/bodyposenet/f…

Here is bodypose model doc, BodyPoseNet | NVIDIA NGC int8-calib-file=…/…/models/bodypose2d/int8_calibration_320_448.txt infer-dims=3;320;384 network-mode=1 here did you try infer-dims=3;320;448?

[image] yezhouyin: invalid input pafmap dimension Sorry, I wrote infer-dims=3;320;384, actually I tried infer-dims=3;320;448 The log prints invalid input pafmap dimension

[image] yezhouyin: The log prints invalid input pafmap dimension Can you download tao-converter into your machine and then convert it into a new tensorrt engine? $ tao-converter model.etlt -k nvidia_tlt -p input_1:0,1x320x448x3,4x320x448x3,16x320x448x3 -t fp16 -m 16 -e fp16.engine Then conf…

Thank you for your attention command： tao-converter -k nvidia_tlt -p input_1:0,1x320x448x3,1x320x448x3,1x320x448x3 model.etlt -t int8 -c int8_calibration_320_448.txt -e tao-converter.model_int8_b1_320_448.engine -b 1 the conversion of tao-converter to engine does not report an error, and the same…

Please share the latest full log again. Thanks.

Deepstream-bodypose2d-app use int8_calibration_320_448.txt log print (errors invalid input pafmap dimension.)

Accelerated Computing Intelligent Video Analytics TAO Toolkit

yingliu June 28, 2022, 7:06am 4

Hi @yezhouyin
Is it still an issue? I saw you submitted another topic (When bodypostNet is from fp16 to int8, the effect is significantly worse) and it seems the program is running already.

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Deepstream-bodypose2d-app use int8_calibration_320_448.txt log print (errors invalid input pafmap dimension.)

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