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This repository has been archived by the owner on Jun 13, 2024. It is now read-only.
@martinwoodward@hongzhili@dmahugh@zer0n
Hi,I'm use microsoft caffe cpu to test faster rcnn demo.py with zf models, everything is ok,but it no results to display,and I found all pictures to be tested are showed with 300 object proposals, I think this is not normal.I think it is nothing wrong about python,because it can run very well in fast rcnn.I can understand the problem is that it didn't deal with the demo pictures,even though it runs no warnings and wrongs,but I can't understand why? and how I can solve this problem.Thank you for help me!
I0305 12:00:55.676915 13204 net.cpp:771] Ignoring source layer pool5_spm6
I0305 12:00:55.677916 13204 net.cpp:771] Ignoring source layer pool5_spm6_flatten
I0305 12:00:55.682919 13204 net.cpp:774] Copying source layer fc6
I0305 12:00:55.733954 13204 net.cpp:774] Copying source layer relu6
I0305 12:00:55.734513 13204 net.cpp:774] Copying source layer drop6
I0305 12:00:55.734513 13204 net.cpp:774] Copying source layer fc7
I0305 12:00:55.758543 13204 net.cpp:774] Copying source layer relu7
I0305 12:00:55.759537 13204 net.cpp:774] Copying source layer drop7
I0305 12:00:55.759537 13204 net.cpp:771] Ignoring source layer fc8
I0305 12:00:55.760531 13204 net.cpp:771] Ignoring source layer prob
Loaded network C:\Users\shihaohou\Desktop\py-faster-rcnn- master\data\faster_rcnn_models\ZF_faster_rcnn_final.caffemodel
<caffe._caffe.Net object at 0x000000000EC21F48>
<caffe._caffe.Net object at 0x000000000EC21F48>
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/000456.jpg
Detection took 3.657s for 300 object proposals
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/000542.jpg
Detection took 3.526s for 300 object proposals
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/001150.jpg
Detection took 3.591s for 300 object proposals
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/001763.jpg
Detection took 3.506s for 300 object proposals
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Demo for data/demo/004545.jpg
Detection took 3.529s for 300 object proposals
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@martinwoodward @hongzhili @dmahugh @zer0n
Hi,I'm use microsoft caffe cpu to test faster rcnn demo.py with zf models, everything is ok,but it no results to display,and I found all pictures to be tested are showed with 300 object proposals, I think this is not normal.I think it is nothing wrong about python,because it can run very well in fast rcnn.I can understand the problem is that it didn't deal with the demo pictures,even though it runs no warnings and wrongs,but I can't understand why? and how I can solve this problem.Thank you for help me!
The text was updated successfully, but these errors were encountered: