Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

docs: fix typo #267

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open

docs: fix typo #267

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -30,7 +30,7 @@ This is an official implementation for [Deformable Convolutional Networks](https

* The original implementation is based on our internal Caffe version on Windows. There are slight differences in the final accuracy and running time due to the plenty details in platform switch.
* The code is tested on official [MXNet@(commit 62ecb60)](https://github.com/dmlc/mxnet/tree/62ecb60) with the extra operators for Deformable ConvNets.
* After [MXNet@(commit ce2bca6)](https://github.com/dmlc/mxnet/tree/ce2bca6) the offical MXNet support all operators for Deformable ConvNets.
* After [MXNet@(commit ce2bca6)](https://github.com/dmlc/mxnet/tree/ce2bca6) the official MXNet support all operators for Deformable ConvNets.
* We trained our model based on the ImageNet pre-trained [ResNet-v1-101](https://github.com/KaimingHe/deep-residual-networks) using a [model converter](https://github.com/dmlc/mxnet/tree/430ea7bfbbda67d993996d81c7fd44d3a20ef846/tools/caffe_converter). The converted model produces slightly lower accuracy (Top-1 Error on ImageNet val: 24.0% v.s. 23.6%).
* This repository used code from [MXNet rcnn example](https://github.com/dmlc/mxnet/tree/master/example/rcnn) and [mx-rfcn](https://github.com/giorking/mx-rfcn).

Expand Down Expand Up @@ -91,7 +91,7 @@ If you find Deformable ConvNets useful in your research, please consider citing:

## Requirements: Software

1. MXNet from [the offical repository](https://github.com/dmlc/mxnet). We tested our code on [MXNet@(commit 62ecb60)](https://github.com/dmlc/mxnet/tree/62ecb60). Due to the rapid development of MXNet, it is recommended to checkout this version if you encounter any issues. We may maintain this repository periodically if MXNet adds important feature in future release.
1. MXNet from [the official repository](https://github.com/dmlc/mxnet). We tested our code on [MXNet@(commit 62ecb60)](https://github.com/dmlc/mxnet/tree/62ecb60). Due to the rapid development of MXNet, it is recommended to checkout this version if you encounter any issues. We may maintain this repository periodically if MXNet adds important feature in future release.

2. Python 2.7. We recommend using Anaconda2 as it already includes many common packages. We do not support Python 3 yet, if you want to use Python 3 you need to modify the code to make it work.

Expand Down