Download Source:
https://github.com/jizhu1023/DMAN_MOT
Download the trained model, the new folder model, the model file in the model folder:
The authors used a python2.7, I use 3.5, it will print an error report, plus all brackets can be.
Then run the calculate_similarity.py in pycharm
In the current directory to the matlab DMAN_MOT-master:
Run DMAN_demo.m file, this time error: opt.mot does not exist, this variable is mot specify the path where the data set, so finding the definition of opt in, opt = globals (), open globals.m, add the following line:
Then re-run DMAN_demo.m file, this time will be given:
Cause of the error using mtimesx_build (line 166) AC / C ++ compiler has not been selected, it should be no designated compiler
Baidu, to find a solution:
https://blog.csdn.net/discoverer100/article/details/61195040?utm_source=blogxgwz4
I.e. matlab enter on command line: mex -setup C ++, to give the following output, indication vs2013 compiled.
Then continue to run DMAN_demo.m file, error:
Undefined function or variable 'MDP_value', this file is inside the MDP project, copied, but can not be used, parameters do not match, the message has been github author, and not reply. Ended!
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Authors' reply has fixed the bug, I downloaded a new project, do a simple modification:
重新跑了一次，旧问题没了，新问题出现：
问题原因：是因为下面的判断
打印出flag，其内容是：b'client ok'，前面多了个b，被编码成了byte类型，所以程序无法走到else的部分，而else下面的部分就是产生similarity.mat的，所以这里做修改：'client ok'前面加个b
接下来还会报byte和str的错，出错点如下所示
因为traj_dir编码错误，前面还是会有个b，所以无法按照str类型来切分，做下面修改即可解决问题：
接下来还要修改mod这个地方，因为python2和3的区别导致gap计算出来是float型的小数，而range中需要的是整数，所以将
改为双斜杠即可：
同理因为编码问题还需修改最后的地方：
网络编程使用的都是byte类型，所以这里要给前面加上b。
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至此，所有错误都已经解决，可以愉快的输出结果了：
python端：
matlab端：
这里的从1到19的文件夹中保存的就是跟踪到的19个目标，每个文件夹中保存的是之前有跟踪到的帧中的该目标，示例如下：
