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@XiaozhiChen Hi, Xiaozhi. I used your program to create the resnet50's train.prototxt and test.protxt, then trained with faster-rcnn. And I got a very low result on voc2007, about 0.47, even lower tha…
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Thanks for great work, i have a question, how can i set config file to detect oriention target in faster rcnn or other network?
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I'm trying to run faster rcnn resnet inception v2 on a cloud TPU instance, I know that there is no config in the object detection API that is compatible with TPUs, but I am getting always the followin…
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This code is taking more time to train than the [tf-faster-rcnn](https://github.com/endernewton/tf-faster-rcnn). When I am running at 1800 scale this code is taking 2.9 sec /iter as compared to 1.7sec…
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Dear Sir
Hi
Do yo have trained model using faster rcnn?
I dont have GPU for train this. if you have it please share with me
thanks so much
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https://imlogm.github.io/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/rcnn/
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Update Faster R-CNN constituent networks and example to support mixed precision.
Each model output that feeds a loss needs to output an fp32 float. This can be accomplished by adding a linear activ…
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Are you able to run py faster rcnn with cudNN v2 (which is officially supported on TK1)?
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i run `bash script/vgg_voc07.sh 1,2,3`, use three GPU cards, Tesla M40
but "root:Means AP=0.6860", not like 70.23
![image](https://user-images.githubusercontent.com/29242090/26858708-76f4c558-4b65…
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Thanks OAID teams grateful works
my platfoms is rk3399 and os is ubuntu 16.04
l run the "./examples/build/faster_rcnn/FASTER_RCNN" , using your provide "VGG16_faster_rcnn.prototxt" and "VGG16_fa…