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dnn: add DynamicQuantizeLinear ONNX layer support #29018 ### Pull Request Readiness Checklist - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and target platform(s) - [x] There is an accuracy test - [ ] There is a performance test ### Description Implements the ONNX `DynamicQuantizeLinear` operator (opset 11) for the OpenCV DNN module. **What it does:** - Adds `QuantizeDynamicLayer` and `DequantizeDynamicLayer` layer classes - Registers layers and adds ONNX importer dispatch for `DynamicQuantizeLinear` - Computes scale and zero-point at runtime from activation min/max - Quantizes FP32 input to int8 (stored as uint8 - 128, matching OpenCV convention) **Framework limitation & workaround:** Due to the single-dtype-per-layer constraint in `LayerData::dtype` (see #29017), the float32 scale output cannot be passed through the CV_8S blob pipeline directly. As a workaround, the scale is encoded as 4 raw bytes in a CV_8S `{1,4}` blob using `memcpy`, and decoded by the downstream `DequantizeDynamic` layer. **Testing:** - Custom accuracy tests reproduce all 3 ONNX conformance test cases: `test_dynamicquantizelinear`, `test_dynamicquantizelinear_max_adjusted`, `test_dynamicquantizelinear_min_adjusted` - Each test verifies: quantized values, scale, zero point, and round-trip dequantize accuracy - All existing quantization regression tests pass (42/42) **Conformance tests:** The 6 conformance tests for `DynamicQuantizeLinear` remain in the parser denylist (they were already denylisted before this PR) because the framework cannot produce mixed-type outputs. The custom tests provide equivalent coverage. ### Files changed - `modules/dnn/include/opencv2/dnn/all_layers.hpp` — layer class declarations - `modules/dnn/src/init.cpp` — layer registration - `modules/dnn/src/onnx/onnx_importer.cpp` — ONNX import dispatch - `modules/dnn/src/int8layers/quantization_utils.cpp` — layer implementations - `modules/dnn/test/test_onnx_importer.cpp` — custom accuracy tests
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