• Hardware Platform (Jetson / GPU):Both
• DeepStream Version:5.1
• JetPack Version (valid for Jetson only):4.5
• TensorRT Version:7.1.3
classifier_1.txt (436 Bytes)
I trained resnet-10 classification model on my own dateset, and has 2 classes.
Q1: Doing inference the trained model with tlt evaluation and enable-center-crop=True, I get high accuracy, and I want to know how I can set enable-center-crop=True in the config file? Is it necessary? I test the trained model with tlt evaluation with enable-center-crop=False, I get worse results.
Q2: In the config file, there are net-scale-factor, offset and model-color-format, What are these values?
Q3- The input size of model is 224x224x3, Is it necessary to resize all of images to 244x224x3 before training?