OpenCV 2.4.2 is out

OpenCV 2.4.2 版本带来了新的服务型 Android 分发模型,增加了 FREAK 关键点描述符,声称比 ORB 和 SURF 更优且速度接近 ORB。还改进了面部识别功能并提供了使用教程。同时发布了 iOS 的 opencv2.framework,修复了自 2.4.1 以来的 50 多个 bug。此外,OpenCV 推出了全新的用户网站和类似 Stack Overflow 的问答平台。

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还能再快一点吗?看changelog还是加了不少东西

新的opencv站点 http://opencv.org/

http://code.opencv.org/projects/opencv/wiki/ChangeLog

July, 2012

  • New keypoint descriptor FREAK has been contributed by EPFL group: Kirell Benzi, Raphael Ortiz, Alexandre Alahi and Pierre Vandergheynst. It's claimed to be superior to ORB and SURF descriptors, yet it's very fast (comparable to OR
D:\python\Lib\site-packages\PPOCRLabel>PPOCRLabel --lang ch [2025/03/25 09:11:32] ppocr WARNING: When args.layout is false, args.ocr is automatically set to false Traceback (most recent call last): File "d:\python\lib\runpy.py", line 197, in _run_module_as_main return _run_code(code, main_globals, None, File "d:\python\lib\runpy.py", line 87, in _run_code exec(code, run_globals) File "D:\python\Scripts\PPOCRLabel.exe\__main__.py", line 7, in <module> File "d:\python\lib\site-packages\PPOCRLabel\PPOCRLabel.py", line 2828, in main app, _win = get_main_app(sys.argv) File "d:\python\lib\site-packages\PPOCRLabel\PPOCRLabel.py", line 2818, in get_main_app win = MainWindow(lang=args.lang, File "d:\python\lib\site-packages\PPOCRLabel\PPOCRLabel.py", line 104, in __init__ self.table_ocr = PPStructure(use_pdserving=False, File "d:\python\lib\site-packages\paddleocr\paddleocr.py", line 900, in __init__ super().__init__(params) File "d:\python\lib\site-packages\PaddleOCR\ppstructure\predict_system.py", line 82, in __init__ self.table_system = TableSystem(args) File "d:\python\lib\site-packages\PaddleOCR\ppstructure\table\predict_table.py", line 79, in __init__ self.table_structurer = predict_strture.TableStructurer(args) File "d:\python\lib\site-packages\PaddleOCR\ppstructure\table\predict_structure.py", line 97, in __init__ ) = utility.create_predictor(args, "table", logger) File "d:\python\lib\site-packages\paddleocr\tools\infer\utility.py", line 364, in create_predictor predictor = inference.create_predictor(config) RuntimeError: (PreconditionNotMet) Tensor's dimension is out of bound.Tensor's dimension must be equal or less than the size of its memory.But received Tensor's dimension is 8, memory's size is 0. [Hint: Expected numel() * SizeOf(dtype()) <= memory_size(), but received numel() * SizeOf(dtype()):8 > memory_size():0.] (at ..\paddle\phi\core\dense_tensor_impl.cc:55) [operator < scale > err 如何解决
最新发布
03-26
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