Commit Graph

2253 Commits

Author SHA1 Message Date
Parth Saini
e24dc1ff4c core: add CV_CPU_GET_FN_PTR_<OPT>() to resolve dispatched function pointers
The generated cv_cpu_helper.h sets CV_TRY_<OPT> to 1 both when <OPT> is a
dispatch target and when it is part of the baseline, but an opt_<OPT> namespace
is only emitted for the dispatch case: __ocv_add_dispatched_file() guards it
with CPU_DISPATCH_FINAL, and a baseline optimization is deliberately kept out of
that list. Code that hand-rolls "#if CV_TRY_<OPT> ... opt_<OPT>::fn" therefore
fails to compile as soon as the optimization lands in the baseline, e.g. with
-DCPU_BASELINE=AVX512_ICL or -march=native on an ICL capable CPU:

  lut.dispatch.cpp:22:16: error: 'opt_AVX512_ICL' has not been declared

CV_CPU_CALL_<OPT>() already handles the namespace selection for a call. Add the
same thing for code that needs the function pointer instead:

  CV_CPU_GET_FN_PTR_<OPT>(fn)       per optimization
  CV_CPU_GET_FN_PTR_BASELINE(fn)    chain terminator
  CV_CPU_DISPATCH_FN(fn, modes)     full chain, mirrors CV_CPU_DISPATCH()

In the baseline case it resolves to cpu_baseline::fn, which is the <OPT> build
of the kernel, so no implementation is lost and no second copy is emitted. In
the dispatch case it keeps the cv::checkHardwareSupport() test and returns
opt_<OPT>::fn, and it compiles out when the optimization is unavailable.

Use it in the two places that hit this, which also removes the hand-written
preprocessor blocks. Generated code for the dispatch configuration is unchanged
(byte-identical .text with -DCPU_BASELINE=SSE3 -DCPU_DISPATCH=AVX512_ICL).

Fixes #29694
2026-08-12 18:10:38 +05:30
Abhishek Gola
3ea443b670 Merge pull request #29667 from intel-staging/ipp/iw_build_fix
Build fix: IPP integration wrapers
2026-08-06 13:37:50 +05:30
Victor Getmanskiy
64a04b540a Build fix: IPP integration wrapers 2026-08-05 12:41:12 +02:00
kaingwade
caaabca123 Update T-Head RVV check 2026-08-03 10:54:36 +08:00
Matt Van Horn
a859f3feff cmake: warn when external grfmt library requested but not found
When a user disables a bundled image-codec dependency (e.g.
BUILD_ZLIB=OFF) to supply an external build but find_package()
cannot locate it, OpenCVFindLibsGrfmt.cmake silently falls back to
compiling the bundled 3rdparty version. As reported in the issue,
this is misleading: the editable ZLIB_LIBRARY_DEBUG/RELEASE cache
entries have no effect after the fallback and nothing points the
user at the real knob (ZLIB_ROOT / ZLIB_DIR).

Emit a message(WARNING) in each fallback branch, guarded by
NOT BUILD_<lib>, so the built-in fallback is no longer silent when
the user explicitly opted out of the bundled build. The warning
names the correct search variables for that library and points to
the CMake find_package / Find<lib> documentation. Applied
consistently to the zlib, libjpeg, libtiff, libpng and libwebp
fallback branches.

The existing fallback behavior is intentionally left unchanged, so
configurations that rely on the built-in fallback continue to build.

Fixes #26746
2026-07-18 10:02:13 -07:00
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
Kumataro
a99141acd7 build: show libjpeg-turbo version for bundled and system-wide libraries 2026-06-03 08:31:27 +09:00
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
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
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
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
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
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.
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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
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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

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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
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
Benjamin Buch
91a720144b add MSVC 19.50 / VS 2026 / VC 18 to config: fix #28013 2025-11-14 15:44:58 +01:00
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
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
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
Pierre Chatelier
e2d87defd1 Merge pull request #27522 from chacha21:fix_cuda129_msvc
Fix compilation problems with MSVC+Cuda 12.9 #27522

fix for #27521

Actually, when ENABLE_CUDA_FIRST_CLASS_LANGUAGE is enabled, the fix it not necessary. However, even when ENABLE_CUDA_FIRST_CLASS_LANGUAGE is enabled, I have checked that the fix is harmless So I propose to keep it simple for now and enable the fix whatever the state of ENABLE_CUDA_FIRST_CLASS_LANGUAGE

### 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
2025-07-18 11:24:00 +03:00
Kumataro
468de9b367 Merge pull request #27536 from Kumataro:fix27530
eigen: fix to get version from eigen after v3.4.0 #27536

Close https://github.com/opencv/opencv/issues/27530

### 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
2025-07-14 19:09:24 +03:00
Kumataro
1f674dcdb4 Merge pull request #27416 from Kumataro:fix27413
Close https://github.com/opencv/opencv/issues/27413

### 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
2025-06-12 15:32:28 +03:00
Alexander Smorkalov
0806124ac7 Try to add FastCV to OpenCV4AndroidSDK 2025-05-24 18:49:11 +03:00
Alexander Smorkalov
4530206445 Merge pull request #27340 from asmorkalov:apreetam_5thPost
Update hash for the fastcv libs for both Linux and Android #27340

Replaces https://github.com/opencv/opencv/pull/27290
Updated libs PR: https://github.com/opencv/opencv_3rdparty/pull/95

### 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
2025-05-21 10:24:13 +03:00
Vadim Levin
b3e17ea9d4 feat: add conditional inclusion support to header parser 2025-05-19 10:11:52 +03:00
Alfred Wingate
8fae4a65fe cmake: set SPNG_LIBRARY for pkgconfig as well
Pkgconfig will set SPNG_LIBRARIES but not SPNG_LIBRARY, this is an issue
as modules/imgcodecs/CmakeLists.txt uses SPNG_LIBRARY.

Bug: https://bugs.gentoo.org/955661
Fixes: c92815238e
Signed-off-by: Alfred Wingate <parona@protonmail.com>
2025-05-14 23:36:56 +03:00
Alexander Smorkalov
2364056aa3 License update in CPack generated packages. 2025-05-12 11:46:51 +03:00
Alexander Smorkalov
19c4d97638 Merge pull request #27252 from asmorkalov:as/extract_hal
Extract all HALs from 3rdparty to dedicated folder. #27252

### 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
2025-04-25 14:56:42 +03:00
Alexander Smorkalov
767dd838d3 Merge pull request #27192 from ddennedy:cmake4
Fix configuring with CMake version 4
2025-04-16 19:05:18 +03:00
Alexander Smorkalov
250ea3d7c6 Fixed Android build with FastCV. 2025-04-16 16:26:05 +03:00
Dan Dennedy
cb8030809e Fix configuring with CMake version 4
fixes #27122
2025-04-02 13:45:08 -07:00
Maksim Shabunin
009fdbbea2 build: fix OpenBLAS detection on Linux 2025-03-31 18:54:39 +03:00
Kumataro
09c71aed14 Merge pull request #27107 from Kumataro:fix27105
build: Check supported C++ standard features and user setting #27107

Close #27105 

### 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.
- [x] The feature is well documented and sample code can be built with the project CMake
2025-03-31 11:31:14 +03:00
Alexander Smorkalov
68a595d88b Set C++ standard for all CUDA configurations. 2025-03-25 16:47:12 +03:00
cudawarped
1d9dda3f09 Merge pull request #27112 from cudawarped:add_cuda_c++17
cuda: Force C++17 Standard for CUDA targets when CUDA Toolkit >=12.8 #27112

Fix https://github.com/opencv/opencv/issues/27095.

### 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
2025-03-21 14:41:49 +03:00
Connor Baker
5200419ba5 cmake/OpenCVDetectCUDAUtils.cmake: use IN_LIST to avoid regex matching valid capabilities 2025-02-13 23:47:00 +00:00