TEMP

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Image Matching MATLAB Function temp_matching
Function temp_matching(t1, t2, upl_1, lor_1, upl_2, lor_2, th, cal) Function Purpose This function performs image matching between two input images. The process utilizes upper and lower coordinates for both images to match corresponding features based on a threshold and calculation method. Input Parameters: t1, t2: Input image data. upl_1, lor_1: Upper and lower boundary coordinates of image 1. upl_2, lor_2: Upper and lower boundary coordinates of image 2. th: Threshold value for matching. cal: Calculation method for matching accuracy. Output Variables: mt1, mt2: Matched points in image 1 and image 2. upl_mt1, lor_mt1: Upper and lower boundary coordinates for matched points in image 1. upl_mt2, lor_mt2: Upper and lower boundary coordinates for matched points in image 2. match_weight: Matching confidence weight. err: Error term indicating matching accuracy. Key Concepts: Image matching is crucial in computer vision tasks for feature recognition, alignment, and more. This function helps achieve optimal alignment between two sets of data by considering boundary and threshold conditions.
Oracle的Temp和UNDO表空间处理
在Oracle中,Temp和Undo表空间增大到无限时,如何回收这部分空间是一个问题。
Oracle数据库优化temp表空间的最佳管理策略
为了优化Oracle数据库的性能,可以通过合理设置temp表空间的存储参数来提升效率。建议将initial和next参数设置为sort_area_size的整数倍,并根据workarea_size_policy=auto的情况设置为5%* pga_aggregate_target的整数倍。另外,将PCTINCREASE设置为0,若采用local管理方式,则PCTINCREASE的设置会根据排序需求的不同而变化。可以通过查询v$sort_usage视图来监控临时表空间的使用情况,通过v$tempfile和dba_temp_files视图管理temp文件的分布,可以将其分布到不同的磁盘上以优化性能。