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fixed preparation #5

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -33,7 +33,7 @@ CenterNet is a framework for object detection with deep convolutional neural net

In terms of speed, we test the inference speed of both CornerNet and CenterNet on a NVIDIA Tesla P100 GPU. We obtain that the average inference time of CornerNet511-104 (means that the resolution of input images is 511X511 and the backbone is Hourglass-104) is 300ms per image and that of CenterNet511-104 is 340ms. Meanwhile, using the Hourglass-52 backbone can speed up the inference speed. Our CenterNet511-52 takes an average of 270ms to process per image, which is faster and more accurate than CornerNet511-104.

## Preparetion
## Preparation
Please first install [Anaconda](https://anaconda.org) and create an Anaconda environment using the provided package list.
```
conda create --name CenterNet --file conda_packagelist.txt
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