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Merge branch 4.x

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Alexander Smorkalov
2025-05-27 16:48:22 +03:00
parent 349b44a485 344f8c6400
commit 350b211b57
167 changed files with 7028 additions and 4687 deletions
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doc/tutorials/dnn/dnn_openvino/dnn_openvino.markdown
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@@ -26,3 +26,14 @@ There are 2 approaches how to get OpenCV:
- Build OpenCV from source code against specific version of OpenVINO. This approach solves the limitations mentioned above.
The instruction how to follow both approaches is provided in [OpenCV wiki](https://github.com/opencv/opencv/wiki/BuildOpenCV4OpenVINO).
## Supported targets
OpenVINO backend (DNN_BACKEND_INFERENCE_ENGINE) supports the following [targets](https://docs.opencv.org/4.x/d6/d0f/group__dnn.html#ga709af7692ba29788182cf573531b0ff5):
- **DNN_TARGET_CPU:** Runs on the CPU, no additional dependencies required.
- **DNN_TARGET_OPENCL, DNN_TARGET_OPENCL_FP16:** Runs on the iGPU, requires OpenCL drivers. Install [intel-opencl-icd](https://launchpad.net/ubuntu/jammy/+package/intel-opencl-icd) on Ubuntu.
- **DNN_TARGET_MYRIAD:** Runs on Intel® VPU like the [Neural Compute Stick](https://www.intel.com/content/www/us/en/products/sku/140109/intel-neural-compute-stick-2/specifications.html), to set up [see](https://www.intel.com/content/www/us/en/developer/archive/tools/neural-compute-stick.html).
- **DNN_TARGET_HDDL:** Runs on the Intel® Movidius™ Myriad™ X High Density Deep Learning VPU, for details [see](https://intelsmartedge.github.io/ido-specs/doc/building-blocks/enhanced-platform-awareness/smartedge-open_hddl/).
- **DNN_TARGET_FPGA:** Runs on Intel® Altera® series FPGAs [see](https://www.intel.com/content/www/us/en/docs/programmable/768970/2025-1/getting-started-guide.html).
- **DNN_TARGET_NPU:** Runs on the integrated Intel® AI Boost processor, requires [Linux drivers](https://github.com/intel/linux-npu-driver/releases/tag/v1.17.0) OR [Windows drivers](https://www.intel.com/content/www/us/en/download/794734/intel-npu-driver-windows.html).
doc/tutorials/dnn/dnn_yolo/dnn_yolo.markdown
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@@ -41,7 +41,7 @@ Assuming that we have successfully trained YOLOX model, the subsequent step invo
running this model with OpenCV. There are several critical considerations to address before
proceeding with this process. Let's delve into these aspects.
### YOLO's Pre-proccessing & Output
### YOLO's Pre-processing & Output
Understanding the nature of inputs and outputs associated with YOLO family detectors is pivotal.
These detectors, akin to most Deep Neural Networks (DNN), typically exhibit variation in input
doc/tutorials/introduction/building_fastcv/building_fastcv.markdown
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@@ -144,9 +144,9 @@ HAL and Extension list of APIs
| |pyrUp & pyrDown |fcvPyramidCreateu8_v4 |
| |cvtColor |fcvColorRGB888toYCrCbu8_v3 |
| | |fcvColorRGB888ToHSV888u8 |
| |GaussianBlur |fcvFilterGaussian5x5u8_v3 |
| |gaussianBlur |fcvFilterGaussian5x5u8_v3 |
| | |fcvFilterGaussian3x3u8_v4 |
| |cvWarpPerspective |fcvWarpPerspectiveu8_v5 |
| |warpPerspective |fcvWarpPerspectiveu8_v5 |
| |Canny |fcvFilterCannyu8 |
| | | |
|CORE |lut | fcvTableLookupu8 |
@@ -166,6 +166,7 @@ HAL and Extension list of APIs
| | |fcvElementMultiplyf32 |
| |addWeighted |fcvAddWeightedu8_v2 |
| |subtract |fcvImageDiffu8f32_v2 |
| |SVD & solve |fcvSVDf32_v2 |
**FastCV based OpenCV Extensions APIs list :**
@@ -221,10 +222,10 @@ HAL and Extension list of APIs
| |fcvFilterCorrSep17x17s16_v2 |
| |fcvFilterCorrSepNxNs16 |
|sobel3x3u8 |fcvImageGradientSobelPlanars8_v2 |
|sobel3x3u9 |fcvImageGradientSobelPlanars16_v2 |
|sobel3x3u10 |fcvImageGradientSobelPlanars16_v3 |
|sobel3x3u11 |fcvImageGradientSobelPlanarf32_v2 |
|sobel3x3u12 |fcvImageGradientSobelPlanarf32_v3 |
|sobel3x3u8 |fcvImageGradientSobelPlanars16_v2 |
|sobel3x3u8 |fcvImageGradientSobelPlanars16_v3 |
|sobel3x3u8 |fcvImageGradientSobelPlanarf32_v2 |
|sobel3x3u8 |fcvImageGradientSobelPlanarf32_v3 |
|sobel |fcvFilterSobel3x3u8_v2 |
| |fcvFilterSobel3x3u8s16 |
| |fcvFilterSobel5x5u8s16 |
@@ -244,3 +245,4 @@ HAL and Extension list of APIs
|trackOpticalFlowLK |fcvTrackLKOpticalFlowu8_v3 |
| |fcvTrackLKOpticalFlowu8 |
|warpPerspective2Plane |fcv2PlaneWarpPerspectiveu8 |
|warpPerspective |fcvWarpPerspectiveu8_v5 |