Can nvinfer normailize image base on mean and std of each image

Accelerated Computing Intelligent Video Analytics DeepStream SDK
1

• Hardware Platform : dGPU
• DeepStream Version: 7.0
• TensorRT Version: 8.6.1.6
**• NVIDIA GPU Driver Version: 555.58.02 **
• Issue Type: Question

Currently, we are normalizing input of our model with this function:

  def img_normalize(x):
        mean = np.mean(x)
        std = np.std(x)
        y = (x - mean) / std
        return y

Is there a way to achive this by using nvinfer net-scale-factor and mean?

3

Currently standard deviation is not supported. You can implement the algorithm by yourself and integrate with the gst-nvpreprocess plugin.

4

Is there any example for preprocessing using python like post-processing in deepstream-ssd-parser?

5

No. It is recommended to implement the preprocessing algorithm with c/c++ and be integrated by gst-nvpreprocess plugin.

6

This topic was automatically closed 14 days after the last reply. New replies are no longer allowed.