ZitongYu / CDCN

Central Difference Convolutional Networks (CVPR'20)
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about conv2d_cd code in tensorflow #22

Closed xuhangxuhang closed 2 years ago

xuhangxuhang commented 4 years ago

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?

punitha-valli commented 4 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?

xiaoroulian commented 4 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?

I also want to know,Did you solve this problem?

punitha-valli commented 4 years ago

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 .

boom9807 commented 3 years ago

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!

punitha-valli commented 3 years ago

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 .

punitha-valli commented 3 years ago

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 .

boom9807 commented 3 years ago

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

punitha-valli commented 3 years ago

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 .

boom9807 commented 3 years ago

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

punitha-valli commented 3 years ago

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 .

boom9807 commented 3 years ago

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.

punitha-valli commented 3 years ago

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.

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boom9807 commented 3 years ago

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

610821216 commented 3 years ago

I am more curious about the content in the .dat file Is it coordinates ? features? or path file?

punitha-valli commented 3 years ago

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?

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610821216 commented 3 years ago

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

punitha-valli commented 3 years ago

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

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610821216 commented 3 years ago

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

XinyingZheng commented 3 years ago

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

liuyuchen6666 commented 3 years ago

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.

malik-anhar commented 3 years ago

Does anyone know how to implement this method in tensorflow version?

punitha-valli commented 3 years ago

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?

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malik-anhar commented 3 years ago

hmm.. I mean the Central Difference Convolution, how does it work on tensorflow?

punitha-valli commented 3 years ago

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?

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