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Latest Version
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macOS 10.12 Sierra or later
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Filename
opencv-4.4.0-ios-framework.zip
Sometimes latest versions of the software can cause issues when installed on older devices or devices running an older version of the operating system.
Software makers usually fix these issues but it can take them some time. What you can do in the meantime is to download and install an older version of OpenCV 4.4.0.
For those interested in downloading the most recent release of OpenCV for Mac or reading our review, simply click here.
All old versions distributed on our website are completely virus-free and available for download at no cost.
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What's new in this version:
- SIFT (Scale-Invariant Feature Transform) algorithm has been moved to the main repository (patent on SIFT is expired)
DNN module:
Improved layers / activations / supported more models:
- State-of-art Yolo v4 Detector: #17148. Disabled per-layer NMS for [yolo] layers (Yolo v3 and Yolo v4) as incorrect - use cv::dnn::NMSBoxes over all the detections
- ONNX: Add support for Resnet_backbone (Torchvision)
EfficientDet models support:
New samples / demos:
- add text recognition sample: C++ / Python
FlowNet2 optical flow:
Intel® Inference Engine backend ( OpenVINO™ ):
- added support for OpenVINO 2020.3 LTS / 2020.4 releases
- support of NN Builder API is planned for removal in the next release
- Many fixes and optimizations in CUDA backend: PRs
G-API module:
- Introduced a new API for stateful kernels in OpenCV backend: GAPI_OCV_KERNEL_ST. Stateful kernels preserve their state among the individual graph executions (in the standard more) or among the video frames of the stream (in the streaming mode)
- Introduced more video-oriented operations in G-API: goodFeaturesToTrack, buildOpticalFlowPyramid, calcOpicalFlowPyrLK
- Added few more image processing kernels: Laplacian and bilateral filters
- Fixed a potential crash in G-API's OpenCL backend
And many other great contributions from OpenCV community:
- Obj-C / Swift bindings
- (opencv_contrib) Julia bindings as part of ongoing GSoC project
- (opencv_contrib) BIMEF: A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement
- Enable Otsu thresholding for CV_16UC1 images
- Add Stroke Width Transform algorithm for Text Detection
- Planned migration on Apache 2 license for next releases OE-32
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