[GSoC] Updates for Quantized models for QDQ method

[jet981217]

This PR updates several models using the QDQ (Quantization-During-Quantization) method. Models that showed sufficient performance with Per Tensor quantization were updated accordingly. For models where Per Tensor quantization did not yield satisfactory results, Per Channel quantization was used. Models lacking calibration data, sensitive to quantization, or having other issues were not updated.

Updated Models:

• Face Detection (YuNet)
• Face Recognition (SFace)
• Facial Expression Recognition
• Handpose Estimation (MediaPipe)
• Human Segmentation (PP-HumanSeg)
• Image Classification (MobileNet)
• License Plate Detection (YuNet)
• Object Detection (YOLOX)
• Palm Detection (MediaPipe)
• Person Re-identification (YoutureID)
• Pose Estimation (MediaPipe)

This update aims to enhance model performance with efficient quantization methods where applicable. Models with significant issues were deferred for future updates.

Updates on OpenCV DNN is on the way for supporting QDQ.

[fengyuentau]

We need to support qdq models first then we do the replacement. It also affects the tim-vx backend.

[fengyuentau]

The quantization script also needs to be updated https://github.com/opencv/opencv_zoo/tree/main/tools/quantize

[jet981217]

The quantization script also needs to be updated https://github.com/opencv/opencv_zoo/tree/main/tools/quantize

Thank you. I fixed it.

[jet981217]

We need to support qdq models first then we do the replacement. It also affects the tim-vx backend.

OK does this mean that I have to first fix & merge OpenCV DNN first, then merge this PR?

[zihaomu]

Hi @jet981217, please keep the original quantized model, and add the suffix of _qdq for your qdq model.

[fengyuentau]

Hi @jet981217, please keep the original quantized model, and add the suffix of _qdq for your qdq model.

I think we will move on with qdq model in the future. So no need to keep two copies of quantized models. We can have a discussion on this topic in weekly meeting.

[fengyuentau]

We should test models using opencv dnn and give result numbers. That is why we need qdq support first for dnn.