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Pytorch 1.0 PyCocoTools update #466

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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -14,7 +14,7 @@ This project is a *faster* pytorch implementation of faster R-CNN, aimed to acce

* [ruotianluo/pytorch-faster-rcnn](https://github.com/ruotianluo/pytorch-faster-rcnn), developed based on Pytorch + TensorFlow + Numpy

During our implementing, we referred the above implementations, especailly [longcw/faster_rcnn_pytorch](https://github.com/longcw/faster_rcnn_pytorch). However, our implementation has several unique and new features compared with the above implementations:
During our implementing, we referred the above implementations, especially [longcw/faster_rcnn_pytorch](https://github.com/longcw/faster_rcnn_pytorch). However, our implementation has several unique and new features compared with the above implementations:

* **It is pure Pytorch code**. We convert all the numpy implementations to pytorch!

Expand Down Expand Up @@ -48,7 +48,7 @@ During our implementing, we referred the above implementations, especailly [long

## Benchmarking

We benchmark our code thoroughly on three datasets: pascal voc, coco and imagenet-200, using two different network architecture: vgg16 and resnet101. Below are the results:
We benchmark our code thoroughly on three datasets: pascal voc, coco and imagenet-200, using two different network architectures: vgg16 and resnet101. Below are the results:

1). PASCAL VOC 2007 (Train/Test: 07trainval/07test, scale=600, ROI Align)

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1 change: 0 additions & 1 deletion lib/pycocotools/UPSTREAM_REV

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