I am using yolov5 spp model i have converted it into tensorrt using this repo GitHub - wang-xinyu/tensorrtx: Implementation of popular deep learning networks with TensorRT network definition API. i have also done the bounding box parsing etc. etc. but still deepstream inference is giving wrong/strange output. here i have my code you can look at here. GitHub - Hidayat722/TestYoloV5_spp: Yolo vs spp Another alternate would be to call my infer function id ds-example to process a buffer and attach the detected objects meta data.
Any suggestions would be appreciated.
• Hardware Platform (Jetson / GPU) GPU
• DeepStream Version 5.0
• JetPack Version (valid for Jetson only)
• TensorRT Version 7
• NVIDIA GPU Driver Version (valid for GPU only)