Pretrained Model

[CuongNguyen218]

Hi @WongKinYiu ,
Did you provide pretrained model of darknet53-PRN?

[CuongNguyen218]

@WongKinYiu , and I have a question about your paper:

Can you explain this picture for me?
G1 Timestamp t = 1 start at Layer 5 right?
And i don't know why G2 at Layer 2 in t =2. I don't see any connection between L4 and L2.

[WongKinYiu]

shortcut/concatenate also will receive the gradient at the same time.
so G1 start at layers 1,3,5 (above connections are shortcuts).
then G2 will be transmitted to layers 2,4 (5➔4, 3➔2, 1➔).

[CuongNguyen218]

@WongKinYiu , Can you share darknet-53-prn and darknet53-fprn pretrained model on Imagenet for me ?

[WongKinYiu]

@CuongNguyen218 Hello,
the model files are too big to upload to github.
and i do not have enough cloud drive space.

[CuongNguyen218]

@WongKinYiu ,
I have a unlimited google drive account. Please give me email address and i will send you my account. I need your pretrained model on imagenet for my bachelor thesis. Thank!

[WongKinYiu]

https://github.com/WongKinYiu/PartialResidualNetworks/blob/master/pdf/iccvw-prn.pdf

the first one is my e-mail address.

[CuongNguyen218]

I just send an email to x102432003@yahoo.com.tw Please check your mailbox.

[WongKinYiu]

i just upload the pre-trained weights.

[CuongNguyen218]

I got your pretrain on ImageNet. How can I used it for Yolov3 (convert to darknet53-conv74 format) Sent from Mail<https://go.microsoft.com/fwlink/?LinkId=550986> for Windows 10 From: Kin-Yiu, Wong<mailto:notifications@github.com> Sent: Monday, December 9, 2019 4:44 PM To: WongKinYiu/PartialResidualNetworks<mailto:PartialResidualNetworks@noreply.github.com> Cc: Nguyen Ngoc Cuong 20150510<mailto:cuong.nn150510@sis.hust.edu.vn>; Mention<mailto:mention@noreply.github.com> Subject: Re: [WongKinYiu/PartialResidualNetworks] Pretrained Model (#9) i just upload the pre-trained weights. — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub<#9?email_source=notifications&email_token=AKKXRBSNAFJGUZWOX36BAPLQXYHRFA5CNFSM4JXZZLN2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEGIPULA#issuecomment-563149356>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/AKKXRBQ7HMVWWEHXB3TBHHTQXYHRFANCNFSM4JXZZLNQ>.

[WongKinYiu]

https://github.com/AlexeyAB/darknet#how-to-train-tiny-yolo-to-detect-your-custom-objects

using partial.

[CuongNguyen218]

@WongKinYiu ,
I'm training yolov3 with your darknet53-prn weights and get some -nan on log. is it normal ?

[WongKinYiu]

@CuongNguyen218

It seems there are no small objects in your own dataset.

[CuongNguyen218]

@WongKinYiu ,

Can you explain the image above for me? Somethings wrong with the number of channel in the middle feature map. For example, 96 = 128 - (1 - 1/2)/2 *128 is not (1- gamma) / 2 * c in the picture. and why 1/8 appear in the red line below ?

[WongKinYiu]

there r 1/2/8/8/4 layers in 1/2/3/4/5 stages.
and...

so in 3rd stage, c is 256 and γc is 128.
the channel number of 8 layers should be 240, 224, 208, 192, 176, 160, 144, 128.

[CuongNguyen218]

there r 1/2/8/8/4 layers in 1/2/3/4/5 stages.
and...

so in 3rd stage, c is 256 and γc is 128.
the channel number of 8 layers should be 240, 224, 208, 192, 176, 160, 144, 128.

I know it when read your paper but I think your figure of characteristic 2 lead to misleading.

[CuongNguyen218]

@WongKinYiu ,
I try replace darknet53 with darknet 53-prn but my inference time is increase about 20% from 45 FPS to 55 FPS. How did you do to reduce inference time from 22ms to 11ms

[WongKinYiu]

55 FPS is faster than 45 FPS. The inference time is decrease, not increase...

and did u check the blops of ur implementation is same as our reported bflops (25.1 BFLOPs)?

[buiduchanh]

@CuongNguyen218 Hello, Can you share this link of darknet53-PRN pretrained weights ?

[zht022]

@CuongNguyen218 Hi, can you share your pretrained weights of darknet53-PRN with your google drive link?
@WongKinYiu Or can you send the pretrained weights of darknet53-PRN to my email? My email address is zht1994@mail.ustc.edu.cn
Thanks!