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Hi thanks for your sharing, I running VGG19_BN caffemodel in py-faster-rcnn , the input size is 550, the wierd thing is GPU memory reaching up to 10G. VGG19_BN need more GPU memory than ResNet101?
Th…
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@yangxue0827
你好, 我用自己的训练数据时会出现nan, 我的学习率是0.001, res50网络, 单卡, 这个现象是跟学习率有关吗? 你有什么好的建议解决下吗?
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Sorry for bothering you again. When I train it with one 1080 GPU with batchsize of 1. I got the following mistakes. How can I solve it?
2018-05-10 13:42:49: step247692 image_name:000624.jpg |
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Hi everyone,
I am using GPU Titan xp, cuda 6.5, Matlab 2014a and follow the instruction on https://github.com/ShaoqingRen/faster_rcnn
I ran experiments/script_faster_rcnn_demo.m successfully.
I hav…
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I'm working on small object detection, while I could only reach 16 AP by using faster rcnn, I assumed that it's convolutional layers are quite deep, thus the small object was convoluted into a point o…
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Hi all !!
I have just succeeded to train py-faster-rcnn on my own dataset, but I don't know how to generate the log file...
Please someone teach me how to make. Thanks!
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I train faster-rcnn based on resnet50 and change the classes number to 5, when I run the demo.py, the error run out! How can I solve this problem? thank you very much!
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I just read your post about faster RCNN, this is amazing and very clearly , it's help me a lot in my work. I want to extract region from RPN model but i training model very long . Would you share me w…
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Hi, I am working on faster-RCNN to detect one type of object. I created my own training dataset, with half of the images containing the target object, and half of them not.
I am wondering if I cou…
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I am able to use py-faster-rcnn to do training with voc-2007 dataset.
However, I just need 4 classes, car, person, dog and cat instead of 20 classes in the default setting.
What changes do I need to d…