1. 17 Sep, 2018 2 commits
  2. 15 Sep, 2018 3 commits
  3. 14 Sep, 2018 8 commits
  4. 13 Sep, 2018 13 commits
  5. 12 Sep, 2018 13 commits
    • Alexander Alekhin's avatar
    • Mark Harfouche's avatar
      095b0d32
    • Alexander Alekhin's avatar
      b7b82c1c
    • George Mironov's avatar
      Rename tensorflow namespace · cb5da898
      George Mironov authored
      cb5da898
    • Alexander Alekhin's avatar
      796795ac
    • Alexander Alekhin's avatar
      3e8934de
    • Dmitry Kurtaev's avatar
    • Dmitry Kurtaev's avatar
      Replace Darknet's Reorg to permute layer · 09fa7587
      Dmitry Kurtaev authored
      09fa7587
    • Alexander Alekhin's avatar
      6fc85586
    • Vadim Pisarevsky's avatar
    • Vadim Pisarevsky's avatar
      acbfd857
    • Hamdi Sahloul's avatar
      03b3be0f
    • Marat K's avatar
      Merge pull request #12249 from kopytjuk:feature/region-layer-batch-mode · 38f8fc6c
      Marat K authored
      Feature/region layer batch mode (#12249)
      
      * Add batch mode for Darknet networks.
      
      Swap variables in test_darknet.
      
      Adapt reorg layer to batch mode.
      
      Adapt region layer.
      
      Add OpenCL implementation.
      
      Remove trailing whitespace.
      
      Bugifx reorg opencl implementation.
      
      Fix bug in OpenCL reorg.
      
      Fix modulo bug.
      
      Fix bug.
      
      Reorg openCL.
      
      Restore reorg layer opencl code.
      
      OpenCl fix.
      
      Work on openCL reorg.
      
      Remove whitespace.
      
      Fix openCL region layer implementation.
      
      Fix bug.
      
      Fix softmax region opencl bug.
      
      Fix opencl bug.
      
      Fix openCL bug.
      
      Update aff_trans.cpp
      
      When the fullAffine parameter is set to false, the estimateRigidTransform function maybe return empty, then the _localAffineEstimate function will be called, but the bug in it will result in incorrect results.
      
      core(libva): support YV12 too
      
      Added to CPU path only.
      OpenCL code path still expects NV12 only (according to Intel OpenCL extension)
      
      cmake: allow to specify own libva paths
      
      via CMake:
      - `-DVA_LIBRARIES=/opt/intel/mediasdk/lib64/libva.so.2\;/opt/intel/mediasdk/lib64/libva-drm.so.2`
      
      android: NDK17 support
      
      tested with NDK 17b (17.1.4828580)
      
      Enable more deep learning tests using Intel's Inference Engine backend
      
      ts: don't pass NULL for std::string() constructor
      
      openvino: use 2018R3 defines
      
      experimental version++
      
      OpenCV version++
      
      OpenCV 3.4.3
      
      OpenCV version '-openvino'
      
      openvino: use 2018R3 defines
      
      Fixed windows build with InferenceEngine
      
      dnn: fix variance setting bug for PriorBoxLayer
      
      - The size of second channel should be size[2] of output tensor,
      - The Scalar should be {variance[0], variance[0], variance[0], variance[0]}
        for _variance.size() == 1 case.
      Signed-off-by: 's avatarWu Zhiwen <zhiwen.wu@intel.com>
      
      Fix lifetime of networks which are loaded from Model Optimizer IRs
      
      Adds a small note describing BUILD_opencv_world (#12332)
      
      * Added a mall note describing BUILD_opencv_world cmake option to the Installation in Windows tutorial.
      
      * Made slight changes in BUILD_opencv_world documentation.
      
      * Update windows_install.markdown
      
      improved grammar
      
      Update opengl_interop.cpp
      
      resolves #12307
      
      java: fix LIST_GET macro
      
      fix typo
      
      Added option to fail on missing testdata
      
      Fixed that object_detection.py does not work in python3.
      
      cleanup: IPP Async (IPP_A)
      
      except header file with conversion routines (will be removed in OpenCV 4.0)
      
      imgcodecs: add null pointer check
      
      Include preprocessing nodes to object detection TensorFlow networks (#12211)
      
      * Include preprocessing nodes to object detection TensorFlow networks
      
      * Enable more fusion
      
      * faster_rcnn_resnet50_coco_2018_01_28 test
      
      countNonZero function reworked to use wide universal intrinsics instead of SSE2 intrinsics
      
      resolve #5788
      
      imgcodecs(webp): multiple fixes
      
      - don't reallocate passed 'img' (test fixed - must use IMREAD_UNCHANGED / IMREAD_ANYCOLOR)
      - avoid memory DDOS
      - avoid reading of whole file during header processing
      - avoid data access after allocated buffer during header processing (missing checks)
      - use WebPFree() to free allocated buffers (libwebp >= 0.5.0)
      - drop unused & undefined `.close()` method
      - added checks for channels >= 5 in encoder
      
      ml: fix adjusting K in KNearest (#12358)
      
      dnn(perf): fix and merge Convolution tests
      
      - OpenCL tests didn't run any OpenCL kernels
      - use real configuration from existed models (the first 100 cases)
      - batch size = 1
      
      dnn(test): use dnnBackendsAndTargets() param generator
      
      Bit-exact resize reworked to use wide intrinsics (#12038)
      
      * Bit-exact resize reworked to use wide intrinsics
      
      * Reworked bit-exact resize row data loading
      
      * Added bit-exact resize row data loaders for SIMD256 and SIMD512
      
      * Fixed type punned pointer dereferencing warning
      
      * Reworked loading of source data for SIMD256 and SIMD512 bit-exact resize
      
      Bit-exact GaussianBlur reworked to use wide intrinsics (#12073)
      
      * Bit-exact GaussianBlur reworked to use wide intrinsics
      
      * Added v_mul_hi universal intrinsic
      
      * Removed custom SSE2 branch from bit-exact GaussianBlur
      
      * Removed loop unrolling for gaussianBlur horizontal smoothing
      
      doc: fix English gramma in tutorial out-of-focus-deblur filter (#12214)
      
      * doc: fix English gramma in tutorial out-of-focus-deblur filter
      
      * Update out_of_focus_deblur_filter.markdown
      
      slightly modified one sentence
      
      doc: add new tutorial motion deblur filter (#12215)
      
      * doc: add new tutorial motion deblur filter
      
      * Update motion_deblur_filter.markdown
      
      a few minor changes
      
      Replace Slice layer to Crop in Faster-RCNN networks from Caffe
      
      js: use generated list of OpenCV headers
      
      - replaces hand-written list
      
      imgcodecs(webp): use safe cast to size_t on Win32
      
      * Put Version status back to -dev.
      
      follow the common codestyle
      
      Exclude some target engines.
      
      Refactor formulas.
      
      Refactor code.
      
      * Remove unused variable.
      
      * Remove inference engine check for yolov2.
      
      * Alter darknet batch tests to test with two different images.
      
      * Add yolov3 second image GT.
      
      * Fix bug.
      
      * Fix bug.
      
      * Add second test.
      
      * Remove comment.
      
      * Add NMS on network level.
      
      * Add helper files to dev.
      
      * syntax fix.
      
      * Fix OD sample.
      
      Fix sample dnn object detection.
      
      Fix NMS boxes bug.
      
      remove trailing whitespace.
      
      Remove debug function.
      
      Change thresholds for opencl tests.
      
      * Adapt score diff and iou diff.
      
      * Alter iouDiffs.
      
      * Add debug messages.
      
      * Adapt iouDiff.
      
      * Fix tests
      38f8fc6c
  6. 11 Sep, 2018 1 commit