YoloV3 model with cfg&weights works well in DeepStream ; but convert model to onnx ,in deepstream I can get data with onnx model ; but results is smaller rects(Compared with cfg&weights) . Why?
• Hardware Platform (Jetson / GPU) NX
• DeepStream Version 5.0 preview
• JetPack Version (valid for Jetson only)
• TensorRT Version
• NVIDIA GPU Driver Version (valid for GPU only)