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29 Open 71 Closed
29 Open 71 Closed
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Issues list

Run PyPCN on debian11
#101 opened Feb 14, 2024 by azadehashouri
1
Has anyone implemented training PCN from scratch?
#100 opened Dec 13, 2023 by EngrNadeemShah
BUG: Static variables in "PCN. CPP" cause an bug
#99 opened Sep 8, 2020 by bbbbbrenn
论文“Samples whose RIP angles are not in the range above will not contribute to the training of calibration.”
#98 opened Jul 6, 2020 by Rcity
: cannot connect to X server while running PyPCN.py
#97 opened Dec 27, 2019 by akhil451
大家用PCN有没有遇到内存泄漏的问题
#94 opened Sep 25, 2019 by wuyajun0627
3
你好，是否有开源PCN训练代码的计划呢？
#93 opened Sep 25, 2019 by sunzhe09
1
can we run this on raspberry pi
#92 opened Aug 26, 2019 by tomriddle54
How to convert the square results to rectangles?
#91 opened Aug 24, 2019 by youthM
如何用自己的数据训练
#89 opened Aug 7, 2019 by Dreamgang
2
face tracker with unique id
#88 opened Jul 8, 2019 by bmabir17
请问有没有将PCN与基于landmark的角度估计进行对比？
#87 opened Jun 27, 2019 by xiaozhuka
what the method of tracking?
#84 opened May 24, 2019 by keetsky
Stage 1: Calculate rx, ry
#83 opened May 23, 2019 by SS2011
1
Caffe version by python is ok. enhancement New feature or request
#80 opened Apr 7, 2019 by daixiangzi
2
Have you clean up the WIDER train set?
#79 opened Mar 17, 2019 by YangBowenn
How can I train my own data
#78 opened Mar 16, 2019 by johnnyshen333
2
tracking information
#77 opened Mar 6, 2019 by yaira24
2
picture.cpp:5:9: error: no matching constructor for initialization of 'PCN'
#76 opened Mar 5, 2019 by MyraBaba
Can PCN-1 be used as axis aligned face detector on it's own?
#74 opened Mar 2, 2019 by mrgloom
How FPS was measured?
#73 opened Feb 24, 2019 by mrgloom
About rotation images
#72 opened Feb 24, 2019 by mrgloom
Pytorch version is (almost) completed enhancement New feature or request help wanted Extra attention is needed
#71 opened Feb 22, 2019 by siriusdemon
3
How to get real-time performance?
#69 opened Feb 14, 2019 by Androsimus
PCN for iOS help wanted Extra attention is needed
#66 opened Jan 27, 2019 by elhoangvu
5
ProTip! Exclude everything labeled bug with -label:bug.