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mirror of https://github.com/opencv/opencv.git synced 2026-07-31 00:03:03 +04:00

2330 Commits

Author SHA1 Message Date
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.
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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

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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
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
Alexander Smorkalov bd67770dcb Merge branch 4.x 2025-07-22 09:47:19 +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 4355309c3b Merge pull request #27386 from dkurt:remove_quirc
Remove QUIRC library dependency
2025-06-11 09:39:24 +03:00
Alexander Smorkalov 350b211b57 Merge branch 4.x 2025-06-10 10:16:50 +03:00
Dmitry Kurtaev 74dae85a65 Remove QUIRC library dependency 2025-05-30 17:57:13 +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