This project is based on Python Opencv. Here we give two images as input. We will be marking an object in the 1st image using the mouse. After this there will be a search for the same object in the next image and the object is automatically marked in this image too, if present.
SHOW FULL COLUMNS FROM `jrk_downrecords` [ RunTime:0.002588s ]
SELECT `a`.`aid`,`a`.`title`,`a`.`create_time`,`m`.`username` FROM `jrk_downrecords` `a` INNER JOIN `jrk_member` `m` ON `a`.`uid`=`m`.`id` WHERE `a`.`status` = 1 GROUP BY `a`.`aid` ORDER BY `a`.`create_time` DESC LIMIT 10 [ RunTime:0.095978s ]
SHOW FULL COLUMNS FROM `jrk_tagrecords` [ RunTime:0.002207s ]
SELECT * FROM `jrk_tagrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 20 [ RunTime:0.002892s ]
SHOW FULL COLUMNS FROM `jrk_member` [ RunTime:0.002854s ]
SELECT `id`,`username`,`userhead`,`usertime` FROM `jrk_member` WHERE `status` = 1 ORDER BY `usertime` DESC LIMIT 10 [ RunTime:0.005607s ]
SHOW FULL COLUMNS FROM `jrk_searchrecords` [ RunTime:0.002991s ]
SELECT * FROM `jrk_searchrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 5 [ RunTime:0.005371s ]
SELECT aid,title,count(aid) as c FROM `jrk_downrecords` GROUP BY `aid` ORDER BY `c` DESC LIMIT 10 [ RunTime:0.016540s ]
SHOW FULL COLUMNS FROM `jrk_articles` [ RunTime:0.002758s ]
UPDATE `jrk_articles` SET `hits` = 1 WHERE `id` = 87091 [ RunTime:0.001160s ]
