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Commitad1570f

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Update memory requirements
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‎README.md‎

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@@ -64,7 +64,8 @@ If you find Faster R-CNN useful in your research, please consider citing:
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###Requirements: hardware
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1. For training smaller networks (ZF, VGG_CNN_M_1024) a good GPU (e.g., Titan, K20, K40, ...) with at least 3G of memory suffices
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2. For training with VGG16, you'll need a K40 (~11G of memory)
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2. For training Fast R-CNN with VGG16, you'll need a K40 (~11G of memory)
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3. For training the end-to-end version of Faster R-CNN with VGG16, 3G of GPU memory is sufficient (using CUDNN)
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###Installation (sufficient for the demo)
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