Update INSTALL.md

nerminsamet · Jul 7, 2020 · f774ff8 · f774ff8
1 parent 256512b
commit f774ff8
Showing 1 changed file with 6 additions and 6 deletions.
diff --git a/readme/INSTALL.md b/readme/INSTALL.md
@@ -3,7 +3,7 @@
 
 The code was tested on Ubuntu 18.04 with Cuda 10.0, [Anaconda](https://www.anaconda.com/download) Python 3.7 and [PyTorch]((http://pytorch.org/)) v1.4.0.
 NVIDIA GPUs are needed for both training and testing.
-After install Anaconda:
+After installing Anaconda:
 
 0. [Optional but recommended] create a new conda environment.
 
@@ -16,26 +16,26 @@ After install Anaconda:
     conda activate HoughNet
     ~~~
 
-1. Clone this repo:
+1. Clone the repo:
 
     ~~~
     HoughNet_ROOT=/path/to/clone/HoughNet
     git clone https://github.com/nerminsamet/HoughNet $HoughNet_ROOT
     ~~~ 
 
-2. Install pytorch 1.4.0:
+2. Install PyTorch 1.4.0:
 
     ~~~
     conda install pytorch torchvision cudatoolkit=10.0 -c pytorch
     ~~~
 
-3. Install the requirements
+3. Install the requirements:
 
     ~~~
     pip install -r requirements.txt
     ~~~
 
-4. Compile deformable convolutional.
+4. Compile DCNv2 (Deformable Convolutional Networks):
 
     ~~~
     cd $HoughNet_ROOT/src/lib/models/networks/DCNv2
@@ -50,5 +50,5 @@ Compile NMS if you want to use multi-scale testing.
     make
     ~~~
 
-6. Download [pretrained models](https://drive.google.com/drive/folders/1dEshWidNf54MRFgNanrrhkdpH_eywkFP?usp=sharing) and place them to `$HoughNet_ROOT/models/`. 
+6. Download [pretrained models](https://drive.google.com/drive/folders/1dEshWidNf54MRFgNanrrhkdpH_eywkFP?usp=sharing) and place them under `$HoughNet_ROOT/models/`. 
 You could find more information about models in [model zoo](MODEL_ZOO.md).