Closed xuhangxuhang closed 2 years ago
@xuhangxuhang
Can you please tell me about the data pre-processing. The OULU dataset have videos, but the source code required the images, Even that there is #13 map_dir, can you please explain to me about it?
@xuhangxuhang
Can you please tell me about the data pre-processing. The OULU dataset have videos, but the source code required the images, Even that there is #13 map_dir, can you please explain to me about it?
I also want to know,Did you solve this problem?
Use PRNet to get the depth map,
And mcnnn for boundary box
On Mon 31 Aug, 2020, 10:40 AM xiaoroulian, notifications@github.com wrote:
@xuhangxuhang https://github.com/xuhangxuhang
Can you please tell me about the data pre-processing. The OULU dataset have videos, but the source code required the images, Even that there is #13 https://github.com/ZitongYu/CDCN/issues/13 map_dir, can you please explain to me about it?
I also want to know,Did you solve this problem?
— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/ZitongYu/CDCN/issues/22#issuecomment-683520309, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B2ZRVN73TUWXVFEMUCTSDMER7ANCNFSM4ODV3DNQ .
Use PRNet to get the depth map, And mcnnn for boundary box … On Mon 31 Aug, 2020, 10:40 AM xiaoroulian, @.**> wrote: @xuhangxuhang https://github.com/xuhangxuhang Can you please tell me about the data pre-processing. The OULU dataset have videos, but the source code required the images, Even that there is #13 <#13> map_dir*, can you please explain to me about it? I also want to know,Did you solve this problem? — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#22 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B2ZRVN73TUWXVFEMUCTSDMER7ANCNFSM4ODV3DNQ .
Hello,thank you for your guidance,but i'm still confused. I know the MTCNN but don't know how to generate '.dat' files. Could you tell me how to generate the '.dat' files or share me a related GitHub website? Thank you very much!
Hi,
Instead of .txt you can use .obj
Thank you
On Sun 29 Nov, 2020, 1:21 AM boom9807, notifications@github.com wrote:
Use PRNet to get the depth map, And mcnnn for boundary box … <#m-7482038873794626729> On Mon 31 Aug, 2020, 10:40 AM xiaoroulian, @.**> wrote: @xuhangxuhang https://github.com/xuhangxuhang https://github.com/xuhangxuhang Can you please tell me about the data pre-processing. The OULU dataset have videos, but the source code required the images, Even that there is #13 https://github.com/ZitongYu/CDCN/issues/13 <#13 https://github.com/ZitongYu/CDCN/issues/13> map_dir*, can you please explain to me about it? I also want to know,Did you solve this problem? — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#22 (comment) https://github.com/ZitongYu/CDCN/issues/22#issuecomment-683520309>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B2ZRVN73TUWXVFEMUCTSDMER7ANCNFSM4ODV3DNQ .
Hello,thank you for your guidance,but i'm still confused. I know the MTCNN but don't know how to generate '.dat' files. Could you tell me how to generate the '.dat' files or share me a related GitHub website? Thank you very much!
— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/ZitongYu/CDCN/issues/22#issuecomment-735258798, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B2276HSB3HD45FTYH2DSSEWRJANCNFSM4ODV3DNQ .
You can also use .dat
On Sun 29 Nov, 2020, 1:25 AM Punitha Valli, punithavalli.krv@gmail.com wrote:
Hi,
Instead of .txt you can use .obj
Thank you
On Sun 29 Nov, 2020, 1:21 AM boom9807, notifications@github.com wrote:
Use PRNet to get the depth map, And mcnnn for boundary box … <#m_-8412065392521917396m-7482038873794626729_> On Mon 31 Aug, 2020, 10:40 AM xiaoroulian, @.**> wrote: @xuhangxuhang https://github.com/xuhangxuhang https://github.com/xuhangxuhang Can you please tell me about the data pre-processing. The OULU dataset have videos, but the source code required the images, Even that there is #13 https://github.com/ZitongYu/CDCN/issues/13 <#13 https://github.com/ZitongYu/CDCN/issues/13> map_dir*, can you please explain to me about it? I also want to know,Did you solve this problem? — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#22 (comment) https://github.com/ZitongYu/CDCN/issues/22#issuecomment-683520309>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B2ZRVN73TUWXVFEMUCTSDMER7ANCNFSM4ODV3DNQ .
Hello,thank you for your guidance,but i'm still confused. I know the MTCNN but don't know how to generate '.dat' files. Could you tell me how to generate the '.dat' files or share me a related GitHub website? Thank you very much!
— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/ZitongYu/CDCN/issues/22#issuecomment-735258798, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B2276HSB3HD45FTYH2DSSEWRJANCNFSM4ODV3DNQ .
You can also use .dat On Sun 29 Nov, 2020, 1:25 AM Punitha Valli, punithavalli.krv@gmail.com wrote: … Hi, Instead of .txt you can use .obj Thank you On Sun 29 Nov, 2020, 1:21 AM boom9807, @.> wrote: > Use PRNet to get the depth map, And mcnnn for boundary box > … <#m_-8412065392521917396m-7482038873794626729_> > On Mon 31 Aug, 2020, 10:40 AM xiaoroulian, @.> wrote: @xuhangxuhang > https://github.com/xuhangxuhang https://github.com/xuhangxuhang Can > you please tell me about the data pre-processing. The OULU dataset have > videos, but the source code required the images, Even that there is #13 > <#13> <#13 > <#13>> map_dir, can you please > explain to me about it? I also want to know,Did you solve this problem? — > You are receiving this because you commented. Reply to this email directly, > view it on GitHub <#22 (comment) > <#22 (comment)>>, or > unsubscribe > https://github.com/notifications/unsubscribe-auth/AMM7B2ZRVN73TUWXVFEMUCTSDMER7ANCNFSM4ODV3DNQ > . > > Hello,thank you for your guidance,but i'm still confused. > I know the MTCNN but don't know how to generate '.dat' files. > Could you tell me how to generate the '.dat' files or share me a related > GitHub website? > Thank you very much! > > — > You are receiving this because you commented. > Reply to this email directly, view it on GitHub > <#22 (comment)>, or > unsubscribe > https://github.com/notifications/unsubscribe-auth/AMM7B2276HSB3HD45FTYH2DSSEWRJANCNFSM4ODV3DNQ > . >
Hi, I want to know how to generate the'. dat' files required by the code instead of which format of the files i can use. I'm still confused about how to use MTCNN to generate '.dat' or '.obj' files. Can I contack you via wechat or email? Thank you very much
Hi,
.dat is one of the file format which may be a plain text or binary .
You can google it, it's very easy topic and easy to use ,.. instead of .txt you can use .dat in that place . So you will get a .dat file with the boundary box details .
Thank you
On Mon 30 Nov, 2020, 2:46 PM boom9807, notifications@github.com wrote:
You can also use .dat On Sun 29 Nov, 2020, 1:25 AM Punitha Valli, punithavalli.krv@gmail.com wrote: … <#m3448670533241493752> Hi, Instead of .txt you can use .obj Thank you On Sun 29 Nov, 2020, 1:21 AM boom9807, @.> wrote: > Use PRNet to get the depth map, And mcnnn for boundary box > … <#m_-8412065392521917396m-7482038873794626729_> > On Mon 31 Aug, 2020, 10:40 AM xiaoroulian, @.> wrote: @xuhangxuhang https://github.com/xuhangxuhang > https://github.com/xuhangxuhang https://github.com/xuhangxuhang Can > you please tell me about the data pre-processing. The OULU dataset have > videos, but the source code required the images, Even that there is #13 https://github.com/ZitongYu/CDCN/issues/13 > <#13 https://github.com/ZitongYu/CDCN/issues/13> <#13 https://github.com/ZitongYu/CDCN/issues/13 > <#13 https://github.com/ZitongYu/CDCN/issues/13>> map_dir, can you please
explain to me about it? I also want to know,Did you solve this problem? — You are receiving this because you commented. Reply to this email directly, > view it on GitHub <#22 https://github.com/ZitongYu/CDCN/issues/22 (comment) > <#22 (comment) https://github.com/ZitongYu/CDCN/issues/22#issuecomment-683520309>>, or unsubscribe > https://github.com/notifications/unsubscribe-auth/AMM7B2ZRVN73TUWXVFEMUCTSDMER7ANCNFSM4ODV3DNQ . > > Hello,thank you for your guidance,but i'm still confused. > I know the MTCNN but don't know how to generate '.dat' files. > Could you tell me how to generate the '.dat' files or share me a related > GitHub website? > Thank you very much! > > — > You are receiving this because you commented. Reply to this email directly, view it on GitHub > <#22 (comment) https://github.com/ZitongYu/CDCN/issues/22#issuecomment-735258798>, or unsubscribe > https://github.com/notifications/unsubscribe-auth/AMM7B2276HSB3HD45FTYH2DSSEWRJANCNFSM4ODV3DNQ . >
Hi, I want to know how to generate the'. dat' files required by the code instead of which format of the files i can use. I'm still confused about how to use MTCNN to generate '.dat' or '.obj' files. Can I contack you via wechat or email? Thank you very much
— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/ZitongYu/CDCN/issues/22#issuecomment-735586853, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B26U7J32RDLH7FHRZBDSSM5TBANCNFSM4ODV3DNQ .
Hi, .dat is one of the file format which may be a plain text or binary . You can google it, it's very easy topic and easy to use ,.. instead of .txt you can use .dat in that place . So you will get a .dat file with the boundary box details . Thank you … On Mon 30 Nov, 2020, 2:46 PM boom9807, @.> wrote: You can also use .dat On Sun 29 Nov, 2020, 1:25 AM Punitha Valli, @. wrote: … <#m3448670533241493752> Hi, Instead of .txt you can use .obj Thank you On Sun 29 Nov, 2020, 1:21 AM boom9807, @.> wrote: > Use PRNet to get the depth map, And mcnnn for boundary box > … <#m_-8412065392521917396m-7482038873794626729_> > On Mon 31 Aug, 2020, 10:40 AM xiaoroulian, @.> wrote: @xuhangxuhang https://github.com/xuhangxuhang > https://github.com/xuhangxuhang https://github.com/xuhangxuhang Can > you please tell me about the data pre-processing. The OULU dataset have > videos, but the source code required the images, Even that there is #13 <#13> > <#13 <#13>> <#13 <#13> > <#13 <#13>>> map_dir, can you please > explain to me about it? I also want to know,Did you solve this problem? — > You are receiving this because you commented. Reply to this email directly, > view it on GitHub <#22 <#22> (comment) > <#22 (comment) <#22 (comment)>>>, or > unsubscribe > https://github.com/notifications/unsubscribe-auth/AMM7B2ZRVN73TUWXVFEMUCTSDMER7ANCNFSM4ODV3DNQ > . > > Hello,thank you for your guidance,but i'm still confused. > I know the MTCNN but don't know how to generate '.dat' files. > Could you tell me how to generate the '.dat' files or share me a related > GitHub website? > Thank you very much! > > — > You are receiving this because you commented. > Reply to this email directly, view it on GitHub > <#22 (comment) <#22 (comment)>>, or > unsubscribe > https://github.com/notifications/unsubscribe-auth/AMM7B2276HSB3HD45FTYH2DSSEWRJANCNFSM4ODV3DNQ > . > Hi, I want to know how to generate the'. dat' files required by the code instead of which format of the files i can use. I'm still confused about how to use MTCNN to generate '.dat' or '.obj' files. Can I contack you via wechat or email? Thank you very much — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#22 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B26U7J32RDLH7FHRZBDSSM5TBANCNFSM4ODV3DNQ .
Hi, You said use mtcnn to get bbox,could you tell me about more deteils? Thank you
I think you can read the paper , it's very simple to undergo the further process
On Mon 30 Nov, 2020, 3:43 PM boom9807, notifications@github.com wrote:
Hi, .dat is one of the file format which may be a plain text or binary . You can google it, it's very easy topic and easy to use ,.. instead of .txt you can use .dat in that place . So you will get a .dat file with the boundary box details . Thank you … <#m1427279175925379468> On Mon 30 Nov, 2020, 2:46 PM boom9807, @.> wrote: You can also use .dat On Sun 29 Nov, 2020, 1:25 AM Punitha Valli, @. wrote: … <#m3448670533241493752> Hi, Instead of .txt you can use .obj Thank you On Sun 29 Nov, 2020, 1:21 AM boom9807, @.> wrote: > Use PRNet to get the depth map, And mcnnn for boundary box > … <#m_-8412065392521917396m-7482038873794626729_> > On Mon 31 Aug, 2020, 10:40 AM xiaoroulian, @.> wrote: @xuhangxuhang https://github.com/xuhangxuhang https://github.com/xuhangxuhang > https://github.com/xuhangxuhang https://github.com/xuhangxuhang Can > you please tell me about the data pre-processing. The OULU dataset have > videos, but the source code required the images, Even that there is #13 https://github.com/ZitongYu/CDCN/issues/13 <#13 https://github.com/ZitongYu/CDCN/issues/13> > <#13 https://github.com/ZitongYu/CDCN/issues/13 <#13 https://github.com/ZitongYu/CDCN/issues/13>> <#13 https://github.com/ZitongYu/CDCN/issues/13 <#13 https://github.com/ZitongYu/CDCN/issues/13> > <#13 https://github.com/ZitongYu/CDCN/issues/13 <#13 https://github.com/ZitongYu/CDCN/issues/13>>> map_dir, can you please
explain to me about it? I also want to know,Did you solve this problem? — You are receiving this because you commented. Reply to this email directly, > view it on GitHub <#22 https://github.com/ZitongYu/CDCN/issues/22 <#22 https://github.com/ZitongYu/CDCN/issues/22> (comment) > <#22 https://github.com/ZitongYu/CDCN/issues/22 (comment) <#22 (comment) https://github.com/ZitongYu/CDCN/issues/22#issuecomment-683520309>>>, or > unsubscribe > https://github.com/notifications/unsubscribe-auth/AMM7B2ZRVN73TUWXVFEMUCTSDMER7ANCNFSM4ODV3DNQ . > > Hello,thank you for your guidance,but i'm still confused. > I know the MTCNN but don't know how to generate '.dat' files. > Could you tell me how to generate the '.dat' files or share me a related > GitHub website? > Thank you very much! > > — > You are receiving this because you commented. Reply to this email directly, view it on GitHub > <#22 https://github.com/ZitongYu/CDCN/issues/22 (comment) <#22 (comment) https://github.com/ZitongYu/CDCN/issues/22#issuecomment-735258798>>, or unsubscribe > https://github.com/notifications/unsubscribe-auth/AMM7B2276HSB3HD45FTYH2DSSEWRJANCNFSM4ODV3DNQ . > Hi, I want to know how to generate the'. dat' files required by the code instead of which format of the files i can use. I'm still confused about how to use MTCNN to generate '.dat' or '.obj' files. Can I contack you via wechat or email? Thank you very much — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#22 (comment) https://github.com/ZitongYu/CDCN/issues/22#issuecomment-735586853>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B26U7J32RDLH7FHRZBDSSM5TBANCNFSM4ODV3DNQ .
Hi, You said use mtcnn to get bbox,could you tell me about more deteils? Thank you
— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/ZitongYu/CDCN/issues/22#issuecomment-735612817, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B23SV6QLSYQ3M2WQFGTSSNELVANCNFSM4ODV3DNQ .
I think you can read the paper , it's very simple to undergo the further process … On Mon 30 Nov, 2020, 3:43 PM boom9807, @.**> wrote: Hi, .dat is one of the file format which may be a plain text or binary . You can google it, it's very easy topic and easy to use ,.. instead of .txt you can use .dat in that place . So you will get a .dat file with the boundary box details . Thank you … <#m1427279175925379468> On Mon 30 Nov, 2020, 2:46 PM boom9807, @.> wrote: You can also use .dat On Sun 29 Nov, 2020, 1:25 AM Punitha Valli, @. wrote: … <#m3448670533241493752> Hi, Instead of .txt you can use .obj Thank you On Sun 29 Nov, 2020, 1:21 AM boom9807, @.> wrote: > Use PRNet to get the depth map, And mcnnn for boundary box > … <#m_-8412065392521917396m-7482038873794626729_> > On Mon 31 Aug, 2020, 10:40 AM xiaoroulian, @.> wrote: @xuhangxuhang https://github.com/xuhangxuhang https://github.com/xuhangxuhang > https://github.com/xuhangxuhang https://github.com/xuhangxuhang Can > you please tell me about the data pre-processing. The OULU dataset have > videos, but the source code required the images, Even that there is #13 <#13> <#13 <#13>> > <#13 <#13> <#13 <#13>>> <#13 <#13> <#13 <#13>> > <#13 <#13> <#13 <#13>>>> map_dir*, can you please > explain to me about it? I also want to know,Did you solve this problem? — > You are receiving this because you commented. Reply to this email directly, > view it on GitHub <#22 <#22> <#22 <#22>> (comment) > <#22 <#22> (comment) <#22 (comment) <#22 (comment)>>>>, or > unsubscribe > https://github.com/notifications/unsubscribe-auth/AMM7B2ZRVN73TUWXVFEMUCTSDMER7ANCNFSM4ODV3DNQ > . > > Hello,thank you for your guidance,but i'm still confused. > I know the MTCNN but don't know how to generate '.dat' files. > Could you tell me how to generate the '.dat' files or share me a related > GitHub website? > Thank you very much! > > — > You are receiving this because you commented. > Reply to this email directly, view it on GitHub > <#22 <#22> (comment) <#22 (comment) <#22 (comment)>>>, or > unsubscribe > https://github.com/notifications/unsubscribe-auth/AMM7B2276HSB3HD45FTYH2DSSEWRJANCNFSM4ODV3DNQ > . > Hi, I want to know how to generate the'. dat' files required by the code instead of which format of the files i can use. I'm still confused about how to use MTCNN to generate '.dat' or '.obj' files. Can I contack you via wechat or email? Thank you very much — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#22 (comment) <#22 (comment)>>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B26U7J32RDLH7FHRZBDSSM5TBANCNFSM4ODV3DNQ . Hi, You said use mtcnn to get bbox,could you tell me about more deteils? Thank you — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#22 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B23SV6QLSYQ3M2WQFGTSSNELVANCNFSM4ODV3DNQ .
Hi, Sorry to disturb you. I didn't find anything about MTCNN in the paper. Can you tell me in detail how to get the file like ' 6_3_20_5_121_scene.dat ' from the video 'Train_files/1_1_01_1.avi '? or share me a related MTCNN GitHub website?
Thank you so much.
can you share your mail id,
or else your email ID
On Mon, 30 Nov 2020 at 16:56, boom9807 notifications@github.com wrote:
I think you can read the paper , it's very simple to undergo the further process … <#m-6656214226946969690> On Mon 30 Nov, 2020, 3:43 PM boom9807, @.> wrote: Hi, .dat is one of the file format which may be a plain text or binary . You can google it, it's very easy topic and easy to use ,.. instead of .txt you can use .dat in that place . So you will get a .dat file with the boundary box details . Thank you … <#m1427279175925379468> On Mon 30 Nov, 2020, 2:46 PM boom9807, @.> wrote: You can also use .dat On Sun 29 Nov, 2020, 1:25 AM Punitha Valli, @. wrote: … <#m3448670533241493752> Hi, Instead of .txt you can use .obj Thank you On Sun 29 Nov, 2020, 1:21 AM boom9807, @.> wrote: > Use PRNet to get the depth map, And mcnnn for boundary box > … <#m_-8412065392521917396m-7482038873794626729_> > On Mon 31 Aug, 2020, 10:40 AM xiaoroulian, @.> wrote: @xuhangxuhang https://github.com/xuhangxuhang https://github.com/xuhangxuhang https://github.com/xuhangxuhang > https://github.com/xuhangxuhang https://github.com/xuhangxuhang Can > you please tell me about the data pre-processing. The OULU dataset have > videos, but the source code required the images, Even that there is #13 https://github.com/ZitongYu/CDCN/issues/13 <#13 https://github.com/ZitongYu/CDCN/issues/13> <#13 https://github.com/ZitongYu/CDCN/issues/13 <#13 https://github.com/ZitongYu/CDCN/issues/13>> > <#13 https://github.com/ZitongYu/CDCN/issues/13 <#13 https://github.com/ZitongYu/CDCN/issues/13> <#13 https://github.com/ZitongYu/CDCN/issues/13 <#13 https://github.com/ZitongYu/CDCN/issues/13>>> <#13 https://github.com/ZitongYu/CDCN/issues/13 <#13 https://github.com/ZitongYu/CDCN/issues/13> <#13 https://github.com/ZitongYu/CDCN/issues/13 <#13 https://github.com/ZitongYu/CDCN/issues/13>> > <#13 https://github.com/ZitongYu/CDCN/issues/13 <#13 https://github.com/ZitongYu/CDCN/issues/13> <#13 https://github.com/ZitongYu/CDCN/issues/13 <#13 https://github.com/ZitongYu/CDCN/issues/13>>>> map_dir*, can you please > explain to me about it? I also want to know,Did you solve this problem? — > You are receiving this because you commented. Reply to this email directly, > view it on GitHub <#22 https://github.com/ZitongYu/CDCN/issues/22 <#22 https://github.com/ZitongYu/CDCN/issues/22> <#22 https://github.com/ZitongYu/CDCN/issues/22 <#22 https://github.com/ZitongYu/CDCN/issues/22>> (comment) > <#22 https://github.com/ZitongYu/CDCN/issues/22 <#22 https://github.com/ZitongYu/CDCN/issues/22> (comment) <#22 https://github.com/ZitongYu/CDCN/issues/22 (comment) <#22 (comment) https://github.com/ZitongYu/CDCN/issues/22#issuecomment-683520309>>>>, or > unsubscribe > https://github.com/notifications/unsubscribe-auth/AMM7B2ZRVN73TUWXVFEMUCTSDMER7ANCNFSM4ODV3DNQ
. > > Hello,thank you for your guidance,but i'm still confused. > I know the MTCNN but don't know how to generate '.dat' files. > Could you tell me how to generate the '.dat' files or share me a related > GitHub website? > Thank you very much! > > — > You are receiving this because you commented. Reply to this email directly, view it on GitHub > <#22 https://github.com/ZitongYu/CDCN/issues/22 <#22 https://github.com/ZitongYu/CDCN/issues/22> (comment) <#22 https://github.com/ZitongYu/CDCN/issues/22 (comment) <#22 (comment) https://github.com/ZitongYu/CDCN/issues/22#issuecomment-735258798>>>, or > unsubscribe > https://github.com/notifications/unsubscribe-auth/AMM7B2276HSB3HD45FTYH2DSSEWRJANCNFSM4ODV3DNQ . > Hi, I want to know how to generate the'. dat' files required by the code instead of which format of the files i can use. I'm still confused about how to use MTCNN to generate '.dat' or '.obj' files. Can I contack you via wechat or email? Thank you very much — You are receiving this because you commented. Reply to this email directly, view it on GitHub <
22 https://github.com/ZitongYu/CDCN/issues/22 (comment) <#22 (comment)
https://github.com/ZitongYu/CDCN/issues/22#issuecomment-735586853>>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B26U7J32RDLH7FHRZBDSSM5TBANCNFSM4ODV3DNQ . Hi, You said use mtcnn to get bbox,could you tell me about more deteils? Thank you — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#22 (comment) https://github.com/ZitongYu/CDCN/issues/22#issuecomment-735612817>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B23SV6QLSYQ3M2WQFGTSSNELVANCNFSM4ODV3DNQ .
Hi, Sorry to disturb you. I didn't find anything about MTCNN in the paper. Can you tell me in detail how to get the file like ' 6_3_20_5_121_scene.dat ' from the video 'Train_files/1_1_01_1.avi '? or share me a related MTCNN GitHub website?
Thank you so much.
— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/ZitongYu/CDCN/issues/22#issuecomment-735649226, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B2ZB6V5NFO7PUHBMWVDSSNM2VANCNFSM4ODV3DNQ .
can you share your mail id, or else your email ID … On Mon, 30 Nov 2020 at 16:56, boom9807 @.**> wrote: I think you can read the paper , it's very simple to undergo the further process … <#m-6656214226946969690> On Mon 30 Nov, 2020, 3:43 PM boom9807, @.> wrote: Hi, .dat is one of the file format which may be a plain text or binary . You can google it, it's very easy topic and easy to use ,.. instead of .txt you can use .dat in that place . So you will get a .dat file with the boundary box details . Thank you … <#m1427279175925379468> On Mon 30 Nov, 2020, 2:46 PM boom9807, @.> wrote: You can also use .dat On Sun 29 Nov, 2020, 1:25 AM Punitha Valli, @. wrote: … <#m3448670533241493752> Hi, Instead of .txt you can use .obj Thank you On Sun 29 Nov, 2020, 1:21 AM boom9807, @.> wrote: > Use PRNet to get the depth map, And mcnnn for boundary box > … <#m_-8412065392521917396m-7482038873794626729_> > On Mon 31 Aug, 2020, 10:40 AM xiaoroulian, @.> wrote: @xuhangxuhang https://github.com/xuhangxuhang https://github.com/xuhangxuhang https://github.com/xuhangxuhang > https://github.com/xuhangxuhang https://github.com/xuhangxuhang Can > you please tell me about the data pre-processing. The OULU dataset have > videos, but the source code required the images, Even that there is #13 <#13> <#13 <#13>> <#13 <#13> <#13 <#13>>> > <#13 <#13> <#13 <#13>> <#13 <#13> <#13 <#13>>>> <#13 <#13> <#13 <#13>> <#13 <#13> <#13 <#13>>> > <#13 <#13> <#13 <#13>> <#13 <#13> <#13 <#13>>>>> map_dir, can you please > explain to me about it? I also want to know,Did you solve this problem? — > You are receiving this because you commented. Reply to this email directly, > view it on GitHub <#22 <#22> <#22 <#22>> <#22 <#22> <#22 <#22>>> (comment) > <#22 <#22> <#22 <#22>> (comment) <#22 <#22> (comment) <#22 (comment) <#22 (comment)>>>>>, or > unsubscribe > https://github.com/notifications/unsubscribe-auth/AMM7B2ZRVN73TUWXVFEMUCTSDMER7ANCNFSM4ODV3DNQ > . > > Hello,thank you for your guidance,but i'm still confused. > I know the MTCNN but don't know how to generate '.dat' files. > Could you tell me how to generate the '.dat' files or share me a related > GitHub website? > Thank you very much! > > — > You are receiving this because you commented. > Reply to this email directly, view it on GitHub > <#22 <#22> <#22 <#22>> (comment) <#22 <#22> (comment) <#22 (comment) <#22 (comment)>>>>, or > unsubscribe > https://github.com/notifications/unsubscribe-auth/AMM7B2276HSB3HD45FTYH2DSSEWRJANCNFSM4ODV3DNQ > . > Hi, I want to know how to generate the'. dat' files required by the code instead of which format of the files i can use. I'm still confused about how to use MTCNN to generate '.dat' or '.obj' files. Can I contack you via wechat or email? Thank you very much — You are receiving this because you commented. Reply to this email directly, view it on GitHub < #22 <#22> (comment) <#22 (comment) <#22 (comment)>>>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B26U7J32RDLH7FHRZBDSSM5TBANCNFSM4ODV3DNQ . Hi, You said use mtcnn to get bbox,could you tell me about more deteils? Thank you — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#22 (comment) <#22 (comment)>>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B23SV6QLSYQ3M2WQFGTSSNELVANCNFSM4ODV3DNQ . Hi, Sorry to disturb you. I didn't find anything about MTCNN in the paper. Can you tell me in detail how to get the file like ' 6_3_20_5_121_scene.dat ' from the video 'Train_files/1_1_01_1.avi '? or share me a related MTCNN GitHub website? Thank you so much. — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#22 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B2ZB6V5NFO7PUHBMWVDSSNM2VANCNFSM4ODV3DNQ .
My email ID is tzq20@mails.tsinghua.edu.cn Thank you for your help
I am more curious about the content in the .dat file Is it coordinates ? features? or path file?
It's the boundary box information about the face
On Tue 1 Dec, 2020, 12:55 AM 610821216, notifications@github.com wrote:
I am more curious about the content in the .dat file Is it coordinates ? features? or path file?
— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/ZitongYu/CDCN/issues/22#issuecomment-735909282, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B2YRTWIKY6ACTC52C63SSPE7NANCNFSM4ODV3DNQ .
It's the boundary box information about the face … On Tue 1 Dec, 2020, 12:55 AM 610821216, @.***> wrote: I am more curious about the content in the .dat file Is it coordinates ? features? or path file? — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#22 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B2YRTWIKY6ACTC52C63SSPE7NANCNFSM4ODV3DNQ .
Sorry, this is my first time using MTCNN boundary box information about the face is (x, y, width, height)? Any other information? Is the file naming method the image ID? ex: image223 --> image223.dat? Can I use txt instead of dat?
Both depth map and original image are used MTCNN generate boundary box information ? train_image and Depth_image
Sure, you can use .txt formet also
You can read a paper for mtcnn "Joint Face Detection and Alignment using Multi- task Cascaded Convolutional Network" and get more information about MTCNN
THANK YOU
On Tue 1 Dec, 2020, 7:38 PM 610821216, notifications@github.com wrote:
It's the boundary box information about the face … <#m_-8479692241029335515m-1357640567243200738_> On Tue 1 Dec, 2020, 12:55 AM 610821216, @.***> wrote: I am more curious about the content in the .dat file Is it coordinates ? features? or path file? — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#22 (comment) https://github.com/ZitongYu/CDCN/issues/22#issuecomment-735909282>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B2YRTWIKY6ACTC52C63SSPE7NANCNFSM4ODV3DNQ .
Sorry, this is my first time using MTCNN boundary box information about the face is (x, y, width, height)? Any other information? Is the file naming method the image ID? ex: image223 --> image223.dat? Can I use txt instead of dat?
Both depth map and original image are used MTCNN generate boundary box information ? train_image and Depth_image
— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/ZitongYu/CDCN/issues/22#issuecomment-736477566, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B23V3PWTHTO5CXGU3XLSSTISVANCNFSM4ODV3DNQ .
Sure, you can use .txt formet also You can read a paper for mtcnn "Joint Face Detection and Alignment using Multi- task Cascaded Convolutional Network" and get more information about MTCNN THANK YOU … On Tue 1 Dec, 2020, 7:38 PM 610821216, @.> wrote: It's the boundary box information about the face … <#m_-8479692241029335515m-1357640567243200738_> On Tue 1 Dec, 2020, 12:55 AM 610821216, @.> wrote: I am more curious about the content in the .dat file Is it coordinates ? features? or path file? — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#22 (comment) <#22 (comment)>>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B2YRTWIKY6ACTC52C63SSPE7NANCNFSM4ODV3DNQ . Sorry, this is my first time using MTCNN boundary box information about the face is (x, y, width, height)? Any other information? Is the file naming method the image ID? ex: image223 --> image223.dat? Can I use txt instead of dat? Both depth map and original image are used MTCNN generate boundary box information ? train_image and Depth_image — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#22 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B23V3PWTHTO5CXGU3XLSSTISVANCNFSM4ODV3DNQ .
Thank you for your helping
Hi, @ZitongYu thanks for your codes, I really appreciate it. I checked the Tensorflow version of CDC Conv op just now, I found that the definition of CDC Conv in TensorFlow implementation is not the same as the formula you proposed in your paper. You used _kernel_diff = tf.tile(kernel_diff, [kernel_size, kernelsize, 1, 1]) in the kernel_diff line, you copied the sum of kernel weights to a 3x3 weights filter, so the final result based on the TensorFlow version is not a 1x1 convolution on the current center of the receptive field. Can you explain why this happened?
(batch_size) x T x C X H X W,想问一下,这里的T是什么啊
Sure, you can use .txt formet also You can read a paper for mtcnn "Joint Face Detection and Alignment using Multi- task Cascaded Convolutional Network" and get more information about MTCNN THANK YOU … On Tue 1 Dec, 2020, 7:38 PM 610821216, @.> wrote: It's the boundary box information about the face … <#m_-8479692241029335515m-1357640567243200738_> On Tue 1 Dec, 2020, 12:55 AM 610821216, @.> wrote: I am more curious about the content in the .dat file Is it coordinates ? features? or path file? — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#22 (comment) <#22 (comment)>>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B2YRTWIKY6ACTC52C63SSPE7NANCNFSM4ODV3DNQ . Sorry, this is my first time using MTCNN boundary box information about the face is (x, y, width, height)? Any other information? Is the file naming method the image ID? ex: image223 --> image223.dat? Can I use txt instead of dat? Both depth map and original image are used MTCNN generate boundary box information ? train_image and Depth_image — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#22 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B23V3PWTHTO5CXGU3XLSSTISVANCNFSM4ODV3DNQ . Hi, Sorry to disturb you. I didn't find anything about MTCNN in the paper. Could you share me a related MTCNN GitHub website? I'm also a student. Thanks very much.
Does anyone know how to implement this method in tensorflow version?
Yup,
You have both tensor flow and torch version for MTCNN,...
You can try
Thank you With best regards
On Thu, Apr 15, 2021, 4:14 PM malik-anhar @.***> wrote:
Does anyone know how to implement this method in tensorflow version?
— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/ZitongYu/CDCN/issues/22#issuecomment-820220132, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B25KXKCWEZAEIC7RGETTI2N5ZANCNFSM4ODV3DNQ .
hmm.. I mean the Central Difference Convolution, how does it work on tensorflow?
You can try this
https://github.com/voqtuyen/CDCN-Face-Anti-Spoofing.pytorch
On Thu, Apr 15, 2021, 5:29 PM malik-anhar @.***> wrote:
hmm.. I mean the Central Difference Convolution, how does it work on tensorflow?
— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/ZitongYu/CDCN/issues/22#issuecomment-820277889, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMM7B27BO4JLXAP2VIRFIMLTI2WX3ANCNFSM4ODV3DNQ .
Hi, @ZitongYu thanks for your codes, I really appreciate it. I checked the Tensorflow version of CDC Conv op just now, I found that the definition of CDC Conv in TensorFlow implementation is not the same as the formula you proposed in your paper. You used _kernel_diff = tf.tile(kernel_diff, [kernel_size, kernelsize, 1, 1]) in the kernel_diff line, you copied the sum of kernel weights to a 3x3 weights filter, so the final result based on the TensorFlow version is not a 1x1 convolution on the current center of the receptive field. Can you explain why this happened?