1
0
mirror of https://github.com/opencv/opencv.git synced 2026-07-21 19:33:03 +04:00

2339 Commits

Author SHA1 Message Date
Alexander Smorkalov 112959651a Merge pull request #29478 from vrabaud:persistence2
Fix case for intrin.h
2026-07-09 16:24:36 +03:00
Alexander Smorkalov abb0115648 Merge branch 4.x 2026-07-09 12:17:24 +03:00
Vincent Rabaud 71d900dc36 Fix case for intrin.h
This is similar to: https://github.com/opencv/opencv/pull/28754
2026-07-09 01:17:15 +02:00
Anshu 2a47e2c1a5 Merge pull request #29396 from 0AnshuAditya0:fix-macos-framework-rpath-29028
cmake: fix #29028 macOS dynamic framework RPATH for relocatable install #29396

### Problem
When building OpenCV as a dynamic framework on macOS (`-DAPPLE_FRAMEWORK=ON -DBUILD_SHARED_LIBS=ON`), installed binaries contain an absolute `LC_RPATH` pointing to the build tree, making the install non-relocatable. Moving the install directory or deploying to another Mac causes binaries to crash on launch.

### Root cause
`cmake/OpenCVInstallLayout.cmake` unconditionally sets `CMAKE_INSTALL_RPATH` to `${CMAKE_INSTALL_PREFIX}/${OPENCV_LIB_INSTALL_PATH}` for all platforms. Additionally, `cmake/platforms/OpenCV-Darwin.cmake` was empty and missing the `@executable_path`/`@loader_path` linker flags that the iOS toolchain already sets for the same `APPLE_FRAMEWORK AND BUILD_SHARED_LIBS` case.

### Fix
- Guard `CMAKE_INSTALL_RPATH` in `OpenCVInstallLayout.cmake` to use relocatable `@executable_path` tokens for Apple framework builds
- Add equivalent linker flags to `OpenCV-Darwin.cmake`, mirroring `platforms/ios/cmake/Modules/Platform/iOS.cmake`

Fixes #29028

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [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 related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2026-06-29 14:27:21 +03:00
WalkingDevFlag 13eba3d842 cmake: relax CUDA version check to major.minor in OpenCVConfig (#26965)
The first-class-language OpenCV CMake config (OpenCVConfig-CUDALanguage.cmake.in)
pinned the consumer's CUDA Toolkit to the exact patch version OpenCV was built
with (e.g. 12.3.107), via find_package(CUDAToolkit ... EXACT) and a full
VERSION_EQUAL check. Patch versions change frequently while the CUDA runtime API
is stable within a minor release, so this forced needless rebuilds and could
FATAL_ERROR even for a matching toolkit.

Per the core team's direction on #26966, the change lives in the installed
config template rather than the build scripts, and is controlled by a
consumer-set variable:

- Default: match major.minor only (fixes the reported patch-pinning bug).
- OPENCV_STRONG_CUDA_VERSION_CHECK: restore the exact full-version match.

The build-time detection (OpenCVDetectCUDALanguage.cmake) is left untouched, so
OpenCV_CUDA_VERSION still records the full version for diagnostics.

Fixes #26965
2026-06-24 14:24:28 +05:30
Gold856 6fd1b687a1 Clean up CMake version checks 2026-06-22 20:38:16 -04:00
Vadim Pisarevsky a3a4d4adac Merge pull request #29300 from vpisarev:add_harfbuzz
Added harfbuzz; use it instead of STB to render text #29300

Merge with https://github.com/opencv/opencv_extra/pull/1378.

This is the next big step to improve font rendering in OpenCV 5.x. See #18760, #26301. See also OpenCV 5.0 release notes, where it was pointed out that complex scripts are not rendered correctly, and HarfBuzz integration is needed to fix it. So, here it is — HarfBuzz integration:

* Removed tweaked STB engine. STB truetype rendering engine was included into OpenCV 5.0-pre/5.0 and it was extended to instantiate and render variable fonts, but the support was incomplete and immature.
* Instead, we now use [HarfBuzz](https://github.com/harfbuzz/harfbuzz) — famous font shaping library and now also font rendering library, used by many big companies and organizations.
* As a result, we now correctly render complex scripts, such as arabic or devanagari, correctly handle font ligatures (ff, fi, ft etc.)

<img width="1300" height="600" alt="text_test" src="https://github.com/user-attachments/assets/a7d2c754-0fcf-40f8-8104-578f3a14850b" />

* Potentially, we could also support color emoji, but that would be a next step.
* As with STB-based engine, glyphs are cached (the same glyph from the same font is not rendered twice), so the performance should be on par with the previous engine.
* When OpenCV is built with `-DWITH_HARFBUZZ=ON`, which is set by default, it tries to detect HarfBuzz in the system and use it. If it's not detected, OpenCV builds our own small subset of HarfBuzz.

The following table compares size of libopencv_imgproc.dylib.5.0.0 (Release mode) in different configurations:

| Configuration                          | libopencv_imgproc (stripped) | delta vs 5.0 |
|----------------------------------------|------------------------------|----------|
| imgproc without text rendering (`-DWITH_HARFBUZZ=OFF`)  | 4.27 MB  |  −2.35 MB |
| imgproc with stb-based engine (5.0)      | 6.62 MB      |  0.0 Mb |
| imgproc with HarfBuzz-based engine (this PR)     | 7.07 MB      |  +0.45 MB |

The biggest source of the size increase when OpenCV is built with text rendering support (STB- or Harfbuzz-based) is that imgproc in this case includes .ttf fonts (Rubik and 'Wen Quan Yi Micro Hei'), which are gzip-compressed, but still have noticeable size, especially 'Wen Quan Yi' (~2Mb). HarfBuzz itself, compared to STB engine, adds just 0.45Mb, or ~7% to imgproc size. On other platforms (Linux x64, Windows), where IPP or other acceleration libraries are linked into libopencv_imgproc, the harfbuzz footprint is even less noticeable.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [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 related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2026-06-16 10:05:32 +03:00
Weizhao Ouyang c4caa07d62 cmake: fix KLEIDICV_SOURCE_PATH handling
On 5.x branch, commit c3ca3f4f was accidentally reverted, so the
external KleidiCV will be silently disabled. Revert these changes to
support external KleidiCV builds.

Signed-off-by: Weizhao Ouyang <o451686892@gmail.com>
2026-06-08 13:00:24 +08:00
Kumataro a99141acd7 build: show libjpeg-turbo version for bundled and system-wide libraries 2026-06-03 08:31:27 +09:00
Alexander Smorkalov 59218f9edd Merge pull request #29175 from asmorkalov:as/geometry2
Geometry module #29175

OpenCV Contrib: https://github.com/opencv/opencv_contrib/pull/4129
CI changes: https://github.com/opencv/ci-gha-workflow/pull/313

Continues
- https://github.com/opencv/opencv/pull/28804
- https://github.com/opencv/opencv/pull/29101
- https://github.com/opencv/opencv/pull/29108
- https://github.com/opencv/opencv/pull/28810

Todo for followup PRs:
- [x] Rename doxygen groups
- [x] Fix JS modules layout and whitelists
- [ ] Sort tutorials code/snippets

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [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
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2026-05-31 14:23:15 +03:00
Alexander Smorkalov c9070f9f35 Merge branch 4.x 2026-05-20 17:57:51 +03:00
SamareshSingh 4b031345f0 Merge pull request #28954 from ssam18:fix-cuda13-empty-arch-detection-28952
Fix CMake crash when CUDA arch autodetection comes up empty #28954

With CUDA 13 and a system gcc that the toolkit does not support, every NVCC probe inside ocv_filter_available_architecture fails and the result list ends up empty. The next line then calls list(GET ... -1) on that empty list, so CMake dies with the unhelpful message about list GET given empty list and the user has no obvious next step. This change replaces that path with a fatal error that points at the three real fixes, namely setting CUDA_ARCH_BIN, setting CUDA_HOST_COMPILER, or enabling OPENCV_CMAKE_CUDA_DEBUG to see what NVCC actually printed. It also forwards CMAKE_CUDA_HOST_COMPILER into CUDA_HOST_COMPILER since the issue reporter passed the standard CMake variable and it was being silently ignored.
Fixes #28952
2026-05-14 15:43:59 +03:00
Pratham Kumar eadaab5fbb Merge pull request #28664 from pratham-mcw:armpl_dft_opt
Add ARMPL support for DFT Function #28664

- This PR introduces hal/armpl/ with implementation of 1D, 2D DFT and DCT routines using ARM Performance Libraries as a custom HAL replacement for OpenCV's DFT & DCT Function.
- ArmPL MSI package is automatically downloaded and extracted via CMake when building on Windows ARM64, with a WITH_ARMPL option that defaults to ON for that platform.
- Forward and inverse real DFT calls in dxt.cpp are routed through ArmPL when available, with scaling applied only when needed.
- Test error thresholds in test_dxt.cpp are relaxed (from 1e-5 to 2e-4 for float ) to account for numerical differences between ArmPL and OpenCV's reference DFT results.

**Performance Benchmarks :**
<img width="993" height="835" alt="image" src="https://github.com/user-attachments/assets/76def647-6d20-4bce-8bc9-7363e723669f" />

- [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
2026-05-14 10:56:21 +03:00
donotsleepy e640a9bfb8 Merge pull request #28995 from donotsleepy:fix/png-found-status-guard
cmake: fix PNG status display when BUILD_PNG=ON #28995

### Description

Fixes #28657.

On macOS (and other Apple platforms), `BUILD_PNG=ON` is the default. The build system correctly clears `PNG_FOUND` in `OpenCVFindLibsGrfmt.cmake` and builds libpng from the bundled source. However, during the subsequent module processing phase, a downstream `find_package(PNG)` call — triggered transitively via `include()` in the **same scope** — overwrites not only `PNG_FOUND`, but also `PNG_INCLUDE_DIR`, `PNG_LIBRARIES`, and `PNG_VERSION_STRING`.

#### Root Cause: FindPNG.cmake Has Asymmetric Guards

Reading CMake 4.3's `FindPNG.cmake` (`/opt/homebrew/share/cmake/Modules/FindPNG.cmake`) reveals:

| Variable | Guard? | Fate |
|---|---|---|
| `PNG_LIBRARY` | `if(NOT PNG_LIBRARY)` at line 138 — **guarded** | Preserved |
| `PNG_PNG_INCLUDE_DIR` | `find_path(...)` at line 115 — **no guard** | **Overwritten** |
| `PNG_INCLUDE_DIR` | Derived from `PNG_PNG_INCLUDE_DIR` | **Chain-overwritten** |
| `PNG_LIBRARIES` | Derived from `PNG_LIBRARY` + `ZLIB_LIBRARY` | **Partly overwritten** |
| `PNG_VERSION_STRING` | Parsed from `PNG_PNG_INCLUDE_DIR/png.h` | **Overwritten** |

`PNG_LIBRARY` survives because FindPNG itself checks `if(NOT PNG_LIBRARY)`. But `find_path(PNG_PNG_INCLUDE_DIR)` runs unconditionally — re-searching and overwriting the bundled path with the system one.

#### Fix: Three Coordinated Changes

**Part A — Status guard** (`CMakeLists.txt`): When `BUILD_PNG=ON`, pass `FALSE` as the condition to always show `"build"` regardless of `PNG_FOUND`.

**Part B — Variable lock** (`cmake/OpenCVFindLibsGrfmt.cmake`): After building from bundled source, lock `PNG_PNG_INCLUDE_DIR` as `CACHE INTERNAL`. CMake's `find_path()` checks the cache first — if the variable exists with a valid path, it skips re-searching. The system path is never found.

**Part C — Cache cleanup** (`cmake/OpenCVFindLibsGrfmt.cmake`): Add `PNG_PNG_INCLUDE_DIR` to the `ocv_clear_internal_cache_vars()` call in the `else` branch. When a user switches `BUILD_PNG=OFF`, the cached variable is cleared, allowing `find_path` to search for the system libpng normally. Prevents stale cache leakage across configuration changes.

#### Verification (macOS 26, CMake 4.3, Homebrew libpng 1.6.58)

```
BEFORE downstream find_package(PNG):
  PNG_LIBRARY   = libpng
  PNG_INCLUDE_DIR = .../3rdparty/libpng
  PNG_VERSION_STRING = 1.6.37

AFTER downstream find_package(PNG) [with fix]:
  PNG_LIBRARY   = libpng          ← preserved (FindPNG guard)
  PNG_INCLUDE_DIR starts with .../3rdparty/libpng  ← locked (Part B)
  PNG_VERSION_STRING = 1.6.53     ← from bundled png.h
  Status display: build (ver 1.6.53)  ← correct (Part A)
```

The full reproduction and analysis are in the attached `bugReview/` directory.

### Checklist

- [x] There is a reference to the original bug report and related work
- [x] The test case is in `bugReview/` directory
- [x] Tested on macOS 26 (arm64) with CMake 4.3 + Homebrew libpng 1.6.58
- [x] Cache hygiene verified for BUILD_PNG ON→OFF→ON transitions
2026-05-12 12:40:57 +03:00
Alexander Smorkalov d089304bb9 Merge branch 4.x 2026-04-29 16:36:02 +03:00
Chevi koren 1f8257adad Merge pull request #28423 from Chevi-Koren:fix-clp-vcpkg-final
Fix Clp library detection for vcpkg on Windows #28423

## Problem

Building OpenCV with `WITH_CLP=ON` on Windows (vcpkg) fails:

LINK : fatal error LNK1181: cannot open input file 'libClp.lib'

vcpkg generates `Clp.lib` and `CoinUtils.lib`, but OpenCV expected `libClp.lib`/`libCoinUtils.lib`.

## Solution

Modernize CLP detection with a robust, platform-aware approach:

1. **CMake `find_package(Clp CONFIG)`**: detects vcpkg and uses imported targets (`Coin::Clp`, `Coin::CoinUtils`)
2. **Fallback**: pkg-config on Unix/Linux  
3. **Skip** Android/iOS

## Benefits

 Fixes Windows build with vcpkg  
 Uses modern CMake targets  
 Backward compatible with Unix/Linux  
 Safe for CI and mobile builds  
 Graceful fallback if CLP unavailable  

## Testing

- **Windows 11 + vcpkg**: build succeeds
- **No CLP installed**: configure/build succeeds  
- **Linux/Unix**: existing workflows unaffected
- **Android/iOS**: properly skipped

## Changes

- Update `cmake/OpenCVFindLibsPerf.cmake`
- Replace hardcoded library names with CMake targets
- Add mobile platform guards
- Preserve backward compatibility

Fixes #26592

---

### 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 (`4.x`)
- [x] There is a reference to the original bug report and related work (#26592)
- [x] The feature is well documented and sample code can be built with the project CMake
- [x] No additional tests required - this is a build system fix that maintains existing functionality
2026-04-29 11:40:23 +03:00
Alexander Smorkalov 7bde3f9ae9 Merge branch 4.x 2026-04-24 11:11:26 +03:00
Alexander Smorkalov 7fcfafff8b Use fast math for dnn module. 2026-04-22 13:05:39 +03:00
Alexander Smorkalov 9dc7dc89d7 Merge pull request #28780 from ssam18:fix-lapack-cblas-link
cmake: link libcblas explicitly for LAPACK/Generic backend
2026-04-17 15:18:43 +03:00
Jesus Armando Anaya 166c235603 Merge pull request #28745 from JesusAnaya:fix-bundled-protobuf-include-priority
build: fix bundled protobuf headers being overridden by system-installed protobuf #28745

On macOS with Apple Clang 17, the compiler implicitly injects `/usr/local/include` as a high-priority user include (`-I`). The `SYSTEM` keyword in `target_include_directories` emits `-isystem` for the bundled protobuf path, which is searched after user `-I` paths, allowing a system-installed protobuf v4+ (which requires C++17 and abseil-cpp) to override the bundled headers.

Removing `SYSTEM` causes CMake to emit `-I` instead of `-isystem`, placing the bundled path before the implicit system include, restoring the intended header resolution order regardless of what protobuf version is installed on the host.

### Background

Apple Clang 17 (shipped with macOS 26 Tahoe Command Line Tools) changed the compiler driver behavior: it now unconditionally adds `-I/usr/local/include` to the search path, which is where Homebrew installs headers. Previous Apple Clang versions either omitted this path or added it as a lower-priority system include.

When Homebrew's `protobuf` is installed (v4+, e.g. `33.4_1`), its headers at `/usr/local/include/google/protobuf/` are resolved before the bundled `3rdparty/protobuf/src/` because `SYSTEM PUBLIC` in `target_include_directories` causes the bundled path to be emitted as `-isystem`, which ranks below `-I` in compiler search order. This was confirmed by inspecting the generated `flags.make`:

```
# before fix
-isystem /path/to/opencv/3rdparty/protobuf/src

# after fix
-I /path/to/opencv/3rdparty/protobuf/src   (first in the include list)
```

The system protobuf v4+ headers require C++17 and abseil-cpp. Since OpenCV 4.x compiles with `-std=c++11`, every translation unit in `3rdparty/protobuf/` fails:

```
/usr/local/include/google/protobuf/port_def.inc: error: Protobuf only supports C++17 and newer.
/usr/local/include/absl/base/policy_checks.h: error: C++ versions less than C++17 are not supported.
```

Note that `include_directories(BEFORE ...)` on the line above was intended to prevent exactly this, but it was overridden by `target_include_directories(SYSTEM PUBLIC ...)` deduplicating the path into a single `-isystem` entry. This is essentially the same class of problem tracked in #13328.

### Impact

The change is a one-line diff. Removing `SYSTEM` has no effect on Linux or Windows since those toolchains do not inject `/usr/local/include` implicitly. Warning suppression for protobuf headers in dependent modules is unaffected because OpenCV already applies explicit `-Wno-*` flags for all protobuf-related warnings in `3rdparty/protobuf/CMakeLists.txt`.

### Tested on

- macOS 26.3 (Tahoe), Apple Clang 17.0.0 (`clang-1700.6.4.2`), Homebrew `protobuf 33.4_1`, full build passes with `BUILD_PROTOBUF=ON`.

Fixes #28743, related to #27886.

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [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 related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
  Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2026-04-17 10:53:45 +03:00
Alexander Smorkalov 1a6f669763 Merge branch 4.x 2026-04-09 18:44:48 +03:00
Samaresh Kumar Singh 1bef8b81f4 cmake: find and link libcblas separately for LAPACK/Generic
On systems like OpenBSD, CBLAS functions are provided by a standalone
libcblas that is not returned by find_package(LAPACK). This caused link
failures when building libopencv_core because cblas_sgemm and friends
from hal_internal.cpp could not be resolved.

Fixes #28768
2026-04-09 11:01:58 +03:00
Alexander Smorkalov 7e8e0853a8 Merge pull request #28611 from Arths17:4.x
Fix Windows build issues with IPPICV unpack and IPPIW CMakeLists.txt …
2026-03-31 15:24:38 +03:00
Alexander Smorkalov f82522ccfb Merge pull request #28589 from nmizonov:fix_ippiw_binary_usage
Fixed search of IPP IW binaries in cmake
2026-03-31 10:27:41 +03:00
Alexander Smorkalov b5a7e0c662 Merge branch 4.x 2026-03-19 11:29:57 +03:00
CSBVision faf36aa95b Change file globbing to recursive for CUDA DLLs
With recent releases, the CUDA installation layout changes introduces a `bin\x64` subdirectory. Recursive glob inside `bin` works in either case.
2026-03-16 11:28:56 +01:00
Arths17 2ea7e3ad06 Fix Windows build issues with IPPICV unpack and IPPIW CMakeLists.txt copy (#28608)
- Replace execute_process(tar) with file(ARCHIVE_EXTRACT) for native .zip support
  and better Windows path handling when CMAKE_VERSION >= 3.18
- Replace execute_process copy with file(COPY) and existence check for reliable
  CMakeLists.txt copying to avoid timing/path issues on Windows
- Maintains backward compatibility with older CMake versions and Linux behavior

Fixes issue #28608
2026-03-05 23:05:10 -06:00
nmizonov b7266c92fd Fix IPPIW binaries search 2026-03-02 05:03:50 -08:00
Abhishek Gola 95c66292b5 Merge pull request #28444 from abhishek-gola:added_ORT_wrapper
Added ONNX Runtime as an optional wrapper #28444

This PR adds ONNXRuntime (ORT) as an _optional_ wrapper, which can be enabled by adding **WITH_ONNXRUNTIME** flag in CMake command.

Using ORT wrapper the inference time for _resnet50.onnx model_ has come to _**~7ms**_ from _**~14ms**_.
Also, we are able to run models like `ssd_mobilenet_v1.onnx`.
### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [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 related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2026-02-27 15:47:12 +03:00
Alexander Smorkalov 82ff8e45e9 Merge branch 4.x 2026-02-14 15:37:33 +03:00
Alexander Smorkalov c03734475f Merge pull request #28159 from asmorkalov:as/java_cleaners
Introduce option to generate Java code with finalize() or Cleaners interface #28159
 
Closes https://github.com/opencv/opencv/issues/22260
Replaces https://github.com/opencv/opencv/pull/23467

The PR introduce configuration option to generate Java code with Cleaner interface for Java 9+ and old-fashion finalize() method for old Java and Android. Mat class and derivatives are manually written. The PR introduce 2 base classes for it depending on the generator configuration.

Pros:
1. No need to implement complex and error prone cleaner on library side.
2. No new CMake templates, easier to modify code in IDE.

Cons:
1. More generator branches and different code for modern desktop and Android.

TODO: 
- [x] Add Java version check to cmake
- [x] Use Cleaners for ANDROID API 33+

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [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
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-12-16 14:21:34 +03:00
Kai Pastor 6fc0f38e1c Fix CMake foreach loops 2025-12-06 11:03:53 +01:00
nishith-fujitsu 8efc0fd47b Merge pull request #28055 from nishith-fujitsu:sve_fastGEMM1t
dnn: add SVE optimized fastGEMM1T function and SVE dispatch #28055

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [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

**Description**
This PR enables fastGemm1t vectorized with SVE for AARCH64 architecture that called by recurrent layers and fully connected layers with SVE dispatching mechanism.

**ARM Compatibility:**
Modified the build scripts, and configuration files to ensure compatibility with ARM processors.

**Checklist**

Code changes have been tested on ARM devices (Graviton3).

**Modifications**

- Implemented FastGemm1T kernel in SVE with Vector length agnostic approach.

- Added Flags and checks to call our ported Kernel in Recurrent Layer and FullyConnected layer.

- Changes made to cmakelist.txt to dispatch our ported kernel for SVE.

- Flag OpenCV Dispatch with SVE optimization is added to support SVE implemented kernel for OpenCV. According to OpenCV build optimization https://github.com/opencv/opencv/wiki/CPU-optimizations-build-options 
cmake \
    -DCPU_BASELINE=NEON\
    -D CPU_DISPATCH=SVE\

**Performance Improvement**
- The suggested optimizations Improves the performance of LSTM layer and fully connected layer.
<html xmlns:o="urn:schemas-microsoft-com:office:office"
xmlns:x="urn:schemas-microsoft-com:office:excel"
xmlns="http://www.w3.org/TR/REC-html40">

<head>

<meta name=ProgId content=Excel.Sheet>
<meta name=Generator content="Microsoft Excel 15">
<link id=Main-File rel=Main-File
href="file:///C:/Users/jaiswaln/AppData/Local/Temp/msohtmlclip1/01/clip.htm">
<link rel=File-List
href="file:///C:/Users/jaiswaln/AppData/Local/Temp/msohtmlclip1/01/clip_filelist.xml">
<style>
<!--table
	{mso-displayed-decimal-separator:"\.";
	mso-displayed-thousand-separator:"\,";}
@page
	{margin:.75in .7in .75in .7in;
	mso-header-margin:.3in;
	mso-footer-margin:.3in;}
tr
	{mso-height-source:auto;}
col
	{mso-width-source:auto;}
br
	{mso-data-placement:same-cell;}
td
	{padding-top:1px;
	padding-right:1px;
	padding-left:1px;
	mso-ignore:padding;
	color:black;
	font-size:11.0pt;
	font-weight:400;
	font-style:normal;
	text-decoration:none;
	font-family:"Aptos Narrow", sans-serif;
	mso-font-charset:0;
	mso-number-format:General;
	text-align:general;
	vertical-align:bottom;
	border:none;
	mso-background-source:auto;
	mso-pattern:auto;
	mso-protection:locked visible;
	white-space:nowrap;
	mso-rotate:0;}
.xl63
	{border:.5pt solid windowtext;}
.xl64
	{text-align:center;}
.xl65
	{text-align:center;
	border:.5pt solid windowtext;}
-->
</style>
</head>

<body link="#467886" vlink="#96607D">


Name of Test | dnn_neon | dnn_sve | dnn_sve   vs dnn_neon(x-factor)
-- | -- | -- | --
lstm::Layer_LSTM::BATCH=1,   IN=64, HIDDEN=192, TS=100 | 2.878 | 2.326 | 1.24
lstm::Layer_LSTM::BATCH=1,   IN=192, HIDDEN=192, TS=100 | 4.162 | 3.08 | 1.35
lstm::Layer_LSTM::BATCH=1,   IN=192, HIDDEN=512, TS=100 | 18.627 | 16.152 | 1.15
lstm::Layer_LSTM::BATCH=1,   IN=1024, HIDDEN=192, TS=100 | 10.98 | 7.976 | 1.38
lstm::Layer_LSTM::BATCH=64,   IN=64, HIDDEN=192, TS=2 | 4.41 | 3.459 | 1.27
lstm::Layer_LSTM::BATCH=64,   IN=192, HIDDEN=192, TS=2 | 6.567 | 4.807 | 1.37
lstm::Layer_LSTM::BATCH=64,   IN=192, HIDDEN=512, TS=2 | 28.471 | 22.909 | 1.24
lstm::Layer_LSTM::BATCH=64,   IN=1024, HIDDEN=192, TS=2 | 15.491 | 12.537 | 1.24
lstm::Layer_LSTM::BATCH=128,   IN=64, HIDDEN=192, TS=2 | 8.848 | 6.821 | 1.3
lstm::Layer_LSTM::BATCH=128,   IN=192, HIDDEN=192, TS=2 | 12.969 | 9.522 | 1.36
lstm::Layer_LSTM::BATCH=128,   IN=192, HIDDEN=512, TS=2 | 55.52 | 45.746 | 1.21
lstm::Layer_LSTM::BATCH=128,   IN=1024, HIDDEN=192, TS=2 | 31.226 | 26.132 | 1.19

</body>

</html>

<html xmlns:v="urn:schemas-microsoft-com:vml"
xmlns:o="urn:schemas-microsoft-com:office:office"
xmlns:x="urn:schemas-microsoft-com:office:excel"
xmlns="http://www.w3.org/TR/REC-html40">

<head>

<meta name=ProgId content=Excel.Sheet>
<meta name=Generator content="Microsoft Excel 15">
<link id=Main-File rel=Main-File
href="file:///C:/Users/jaiswaln/AppData/Local/Temp/msohtmlclip1/01/clip.htm">
<link rel=File-List
href="file:///C:/Users/jaiswaln/AppData/Local/Temp/msohtmlclip1/01/clip_filelist.xml">
<style>
<!--table
	{mso-displayed-decimal-separator:"\.";
	mso-displayed-thousand-separator:"\,";}
@page
	{margin:.75in .7in .75in .7in;
	mso-header-margin:.3in;
	mso-footer-margin:.3in;}
tr
	{mso-height-source:auto;}
col
	{mso-width-source:auto;}
br
	{mso-data-placement:same-cell;}
td
	{padding-top:1px;
	padding-right:1px;
	padding-left:1px;
	mso-ignore:padding;
	color:black;
	font-size:11.0pt;
	font-weight:400;
	font-style:normal;
	text-decoration:none;
	font-family:"Aptos Narrow", sans-serif;
	mso-font-charset:0;
	mso-number-format:General;
	text-align:general;
	vertical-align:bottom;
	border:none;
	mso-background-source:auto;
	mso-pattern:auto;
	mso-protection:locked visible;
	white-space:nowrap;
	mso-rotate:0;}
.xl65
	{border:.5pt solid windowtext;}
.xl66
	{text-align:center;}
.xl67
	{text-align:center;
	border:.5pt solid windowtext;}
-->
</style>
</head>

<body link="#467886" vlink="#96607D">


Name of Test | dnn_neon | dnn_sve | dnn_sve   vs dnn_neon(x-factor)
-- | -- | -- | --
fc::Layer_FullyConnected::([5,   16, 512, 128], 256, false, OCV/CPU) | 5.086 | 4.483 | 1.13
fc::Layer_FullyConnected::([5,   16, 512, 128], 256, true, OCV/CPU) | 8.512 | 8.347 | 1.02
fc::Layer_FullyConnected::([5,   16, 512, 128], 512, false, OCV/CPU) | 9.467 | 8.965 | 1.06
fc::Layer_FullyConnected::([5,   16, 512, 128], 512, true, OCV/CPU) | 14.855 | 13.527 | 1.1
fc::Layer_FullyConnected::([5,   16, 512, 128], 1024, false, OCV/CPU) | 18.821 | 18.023 | 1.04
fc::Layer_FullyConnected::([5,   16, 512, 128], 1024, true, OCV/CPU) | 27.558 | 24.966 | 1.1
fc::Layer_FullyConnected::([5,   512, 384, 0], 256, false, OCV/CPU) | 0.924 | 0.804 | 1.15
fc::Layer_FullyConnected::([5,   512, 384, 0], 256, true, OCV/CPU) | 1.259 | 1.126 | 1.12
fc::Layer_FullyConnected::([5,   512, 384, 0], 512, false, OCV/CPU) | 1.957 | 1.655 | 1.18
fc::Layer_FullyConnected::([5,   512, 384, 0], 512, true, OCV/CPU) | 2.831 | 2.775 | 1.02
fc::Layer_FullyConnected::([5,   512, 384, 0], 1024, false, OCV/CPU) | 5.92 | 6.379 | 0.93
fc::Layer_FullyConnected::([5,   512, 384, 0], 1024, true, OCV/CPU) | 8.924 | 8.993 | 0.99

</body>

</html>
2025-12-03 10:42:28 +03:00
Alexander Smorkalov e466110245 Merge branch 4.x 2025-12-02 15:38:19 +03:00
Dmitry Kurtaev 895be753ac Update FlatBuffers source code to 25.9.23 2025-11-27 18:31:10 +03:00
JayPol999 35f82d4599 Fix OpenBLAS detection on Fedora/RHEL (Issue #28049) 2025-11-20 23:24:55 +05:30
Alexander Smorkalov 1b6fb61b89 Merge branch 4.x 2025-11-18 08:51:08 +03:00
Benjamin Buch 91a720144b add MSVC 19.50 / VS 2026 / VC 18 to config: fix #28013 2025-11-14 15:44:58 +01:00
Alexander Smorkalov 98bf72b319 Merge branch 4.x 2025-10-23 08:11:04 +03:00
Kumataro 346308124a imgcodecs: GDAL: show GDAL version at OpenCV configuration 2025-10-20 18:37:04 +09:00
Alexander Smorkalov 0a25225b76 Merge pull request #27897 from asmorkalov:as/alernative_win_arm_neon_check
Enabled fp16 conversions, but disabled NEON FP16 arithmetics on Windows for ARM for now #27897

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [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
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2025-10-13 19:40:11 +03:00
Alexander Smorkalov 1a74264ee9 Merge branch 4.x 2025-09-26 12:10:49 +03:00
Alexander Smorkalov ceb197b7de Use /safeseh for x86 32-bit only. 2025-09-23 15:24:27 +03:00
Maksim Shabunin 6d4be10c44 build: fix OpenBLAS cmake search 2025-09-12 10:48:14 +03:00
Alexander Smorkalov cc1ddb5602 Merge branch 4.x 2025-09-10 10:46:54 +03:00
Alexander Smorkalov d1a5723864 Merge branch 4.x 2025-09-09 10:27:19 +03:00
cudawarped a56877a016 Silence unreferenced function with internal linkage has been removed warnings on windows
e.g.

contrib\modules\cudev\include\opencv2\cudev/ptr2d/warping.hpp(86): warning C4505: 'cv::cudev::affineMap': unreferenced function with internal linkage has been removed
contrib\modules\cudev\include\opencv2\cudev/ptr2d/warping.hpp(134): warning C4505: 'cv::cudev::perspectiveMap': unreferenced function with internal linkage has been removed
2025-09-01 16:43:04 +03:00
Dmitry Kurtaev ba19416730 Merge pull request #27581 from dkurt:d.kuryaev/dlpack
### Pull Request Readiness Checklist

resolves #16295

```
docker run --gpus 0 -v ~/opencv:/opencv -v ~/opencv_contrib:/opencv_contrib -it nvidia/cuda:12.8.1-cudnn-devel-ubuntu22.04
apt-get update && apt-get install -y cmake python3-dev python3-pip python3-venv &&
python3 -m venv .venv &&
source .venv/bin/activate &&
pip install -U pip &&
pip install -U numpy &&
pip install torch --index-url https://download.pytorch.org/whl/cu128 &&
cmake \
    -DWITH_OPENCL=OFF \
    -DCMAKE_BUILD_TYPE=Release \
    -DBUILD_DOCS=OFF \
    -DWITH_CUDA=ON \
    -DOPENCV_DNN_CUDA=ON \
    -DOPENCV_EXTRA_MODULES_PATH=/opencv_contrib/modules \
    -DBUILD_LIST=ts,cudev,python3 \
    -S /opencv -B /opencv_build &&
cmake --build /opencv_build -j16
export PYTHONPATH=/opencv_build/lib/python3/:$PYTHONPATH
```

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [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 related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-08-20 11:43:41 +03:00
Johnny 1e37d84e3a Merge pull request #27537 from johnnynunez:patch-2
Refactor Blackwell #27537

In CUDA 13:
- 10.0 is b100/b200 same for aarch64 (gb200)
- 10.3 is GB300
- 11.0 is Thor with new OpenRm driver (moves to SBSA)
- 12.0 is RTX/RTX PRO
- 12.1 is Spark GB10

Thor was moved from 10.1 to 11.0 and Spark is 12.1.
Related patch: https://github.com/pytorch/pytorch/pull/156176
2025-08-20 11:29:31 +03:00
Alexander Smorkalov 3b2d7b3f1b Merge branch 4.x 2025-07-28 10:04:17 +03:00