Exist a example of inference with YOLO v4 in python? I found this: YOLO v4 inference with TensorRT after training with TLT 3.0 - #4 by johan_b But is missing the postporsessing, do you know where i can find it? Thanks!

I fix the problem, when i convert the model it seems that using diferent Inputs docent work so i change to: - p Input,1x3x544x960,1x3x544x960,1x3x544x960 !tlt tlt-converter -k $KEY \ -p Input,1x3x544x960,1x3x544x960,1x3x544x960 \ -m 1 \ -d 3x…

is this one? GitHub - NVIDIA-AI-IOT/deepstream_tao_apps: Sample apps to demonstrate how to deploy models trained with TAO on DeepStream

Please refer to deepstream_tao_apps/post_processor at master · NVIDIA-AI-IOT/deepstream_tao_apps · GitHub or https://forums.developer.nvidia.com/t/inferring-yolo-v3-trt-model-in-python/

Ok, with your recomendations i found a workinkg example of inferring with yolo v4. But i still have some issues: The model im using is custom YOLO v4 trained with our own dataset. With the example of TLT (tlt_vc_samples_v1.1.0/yolo_v4/yolo_v4.ipynb). It is trained for Person, Car and Two_wheels. M…

Firstly, can you run official inference way successfully against your trt engine? See the command in YOLOv4 — Transfer Learning Toolkit 3.0 documentation

Doing inference in python with YOLO V4 in TensorRT - postporsessing

Accelerated Computing Intelligent Video Analytics TAO Toolkit

Morganh August 13, 2021, 3:17pm 8

Or refer to Python run LPRNet with TensorRT show pycuda._driver.MemoryError: cuMemHostAlloc failed: out of memory - #8 by Morganh

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Doing inference in python with YOLO V4 in TensorRT - postporsessing

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