Comments (7)
Hi, then you need to follow the 4-step training in paper to train a region proposal network and a R-FCN network, and to share features between them.
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@daijifeng001
Thank you for the reply. Can I confirm that the demo code do not provide end-to-end detection at test time? Becuase in faster-rcnn demo, we can just input an image and both proposal and final detection can be output.
(note: I am referring to detection and not training. I want to test my own images but I do not have their proposal mat files)
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The demo does not provide proposal generation, but it is very fast in inference and would not be a trouble for computation.
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Can you try the dropbox link?
From: hengck23 [mailto:[email protected]]
Sent: Thursday, July 21, 2016 3:33 PM
To: daijifeng001/R-FCN [email protected]
Cc: Jifeng Dai [email protected]; Mention [email protected]
Subject: Re: [daijifeng001/R-FCN] how to generate proposal? (#10)
@daijifeng001 https://github.com/daijifeng001
Thank you for the reply. Can I confirm that the demo code do not provide end-to-end detection at test time? Becuase in faster-rcnn demo, we can just input an image and both proposal and final detection can be output.
(note: I am referring to detection and not training. I want to test my own images but I do not have their proposal mat files)
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@daijifeng001
I can download the model at "Demo R-FCN model: DropBox, BaiduYun"
If these models already share features for RPN and frcnn, then I can write the code for end-to-end detection and share it here. Currently I am convert your script_rfcn_demo.m to C++ and run the demo in windows C++ caffe only. I convert the proposal mat files to text file so that it can be read by c++.
This is now OK.
Let try to write some code using demo model to make proposals and get back to you later.
Do I use the same anchor boxes as faster RCNN? (i.e. 9 aspect ratio at each location)
Thanks!
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Yes.
From: hengck23 [mailto:[email protected]]
Sent: Thursday, July 21, 2016 4:24 PM
To: daijifeng001/R-FCN [email protected]
Cc: Jifeng Dai [email protected]; Mention [email protected]
Subject: Re: [daijifeng001/R-FCN] how to generate proposal? (#10)
@daijifeng001 https://github.com/daijifeng001
I can download the model at "Demo R-FCN model: DropBox, BaiduYun"
If these models already share features for RPN and frcnn, then I can write the code for end-to-end detection and share it here. Currently I am convert your script_rfcn_demo.m to C++ and run the demo in windows C++ caffe only. I convert the proposal mat files to text file so that it can be read by c++.
This is now OK.
Let try to write some code using demo model to make proposals and get back to you later.
Do I use the same anchor boxes as faster RCNN? (i.e. 9 aspect ratio at each location)
Thanks!
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You are receiving this because you were mentioned.
Reply to this email directly, view it on GitHub #10 (comment) , or mute the thread https://github.com/notifications/unsubscribe-auth/AH9IlZU_oNCrLSMcEYuhAOSpv4PvOJtQks5qXyyqgaJpZM4JRhFM . https://github.com/notifications/beacon/AH9IlXZvFlZ7zUHcGdza4XywITCGDq02ks5qXyyqgaJpZM4JRhFM.gif
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Should I using the same way like in faster-rcnn to get proposals in a different function using a different caffe prototxt define network and model? Or, just using the current model, but how?
@hengck23 @daijifeng001
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Related Issues (20)
- Fine Tuning
- Training on MSCOCO dataset
- run demo error
- path error HOT 6
- question about r-fcn caffe
- train on my own dataset HOT 2
- Error using roidb_from_voc:roidb_from_ilsvrc:: cannot find ./data/self_proposal_data/voc_2007_trainval_resnet101.mat HOT 2
- Is the background image necessary?
- I replace input pictures with arrays (value is -1000 ~ 1000) HOT 1
- Is visual studio 2013 needed in building
- how to merge OHEM into Faster RCNN for the official MATLAB version
- why the pretrain models of resnet are different from kaiming He's? HOT 1
- About the translation-invariance in classification stage and the translation-variance in the object detection stage?
- Are there RPN code and prototxt? HOT 1
- Have cpu version arrived?
- Position-senstive ROI pooling
- about Position-sensitive score maps
- what is effective stride? HOT 1
- question regarding the provided pretrain models
- what is Θ ? HOT 1
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