Fix some typos

INSTALL.md

@@ -33,12 +33,12 @@ bash 3rdparty/Open3D.sh
 ```
 
 That should give you the power of `Open3D` with the Generalized ICP algorithm
-implementation. If you can't install `Open3D` please reffer to the [original
+implementation. If you can't install `Open3D` please refer to the [original
 documentation](http://www.open3d.org/docs/release/compilation.html)
 
 ### Embree
 
-Just run the installation script provied by the author of `trimesh`:
+Just run the installation script provided by the author of `trimesh`:
 
 ```sh
 bash 3rdparty/embree.sh
@@ -48,7 +48,7 @@ That should give you the pyembree library
 
 ### puma
 
-There are different ways of intalling this package, probably the most easy is to
+There are different ways of installing this package, probably the easiest is to
 clone this source and just run
 
 ```shell
@@ -58,13 +58,13 @@ pip install --user .
 
 ## Testing Installation
 
-Just `cd` out of the source dir and run a interactive python shell:
+Just `cd` out of the source dir and run an interactive python shell:
 
 ```python
 import puma
 ```
 
-If that doesn't fail then you can assume you've installed puma succesfully.
+If that doesn't fail then you can assume you've installed puma successfully.
 
 <!-- References -->
 

README.md

@@ -35,7 +35,7 @@ The main application of our research is intended for autonomous driving vehicles
 
 ## Running the code
 
-**NOTE:** All the commands assume you are working on this shared worksspace,
+**NOTE:** All the commands assume you are working on this shared workspace,
 therefore, first `cd apps/` before running anything.
 
 ### 0) Requirements
@@ -48,7 +48,7 @@ to visit the [Installation Instructions](./INSTALL.md)
 
 ### 1) Datasets
 
-First you need to indicate where are all your datasets, for doing so just:
+First, you need to indicate where are all your datasets, for doing so just:
 
 ```sh
 export DATASETS=<full-path-to-datasets-location>
@@ -58,8 +58,8 @@ This env variable is shared between the docker container and your host
 system(in a read-only fashion).
 
 So far we've only tested our approach on the [KITTI Odometry
-benchmark][kitti] dataset and on the [Mai city dataset][mai-city]. Both
-datasets are using a 64-beam velodyne like LiDAR.
+benchmark][kitti] dataset and the [Mai city dataset][mai-city]. Both
+datasets are using a 64-beam Velodyne like LiDAR.
 
 ### 2) Converting from `.bin` to `.ply`
 
@@ -76,12 +76,13 @@ docker-compose run --rm apps bash -c '\
     --sequence 07
     '
 ```
+
 Please change the `--dataset` option to point to where you have the KITTI
 dataset.
 
 ### 3) Runing the `puma` pipeline
 
-Go grab a coffe/mate, this will take some time...
+Go grab a coffee/mate, this will take some time...
 
 ```sh
 docker-compose run --rm apps bash -c '\
@@ -109,7 +110,7 @@ You can open the `.ply` with [Open3D][open3d], [Meshlab][meshlab],
 ## Where to go next
 
 If you already installed [puma](./INSTALL.md) then it's time to look for the
-[standalone apps](./apps/). Theese apps are basically executable command line
+[standalone apps](./apps/). These apps are executable command line
 interfaces (CLI) to interact with the core puma code:
 
 ```sh

docker/README.md

@@ -1,12 +1,12 @@
 # Docker containers
 
-The easiest way to try out our code without pulling all the depdendencies is
-by running our docker container. For that you need to install `docker` and
+The easiest way to try out our code without pulling all the dependencies is
+by running our docker container. For that, you need to install `docker` and
 `docker-compose`.
 
 ## `builder` container
 
-To actually build this container, in case you need to modify the base image or
+To build this container, in case you need to modify the base image or
 because you don't have access to the registry provided, just run this command
 from the `puma` root directory:
 
@@ -15,7 +15,7 @@ docker-compose up --build builder
 ```
 
 That will build the base image and tag it with the same tag that the `apps`
-container is using it. Ideally you should never do this unless you need to
+container is using it. Ideally, you should never do this unless you need to
 change something from the dependencies.
 
 If you plan to update the registry, you can do so by just running:
@@ -26,17 +26,17 @@ docker-compose push builder
 
 ## `apps` container
 
-This container needs to be built locally since it will use information of your
+This container needs to be built locally since it will use the information of your
 current user. This looks tricky and complicated but it's the easiest way to
 share data between the container and the host-machine without needing to run
 unnecessary long commands.
 
-Additionally an env variable called `$DATASETS` is also shared with the docker
+Additionally, an env variable called `$DATASETS` is also shared with the docker
 container in case you have your data already somewhere else and you don't want
 to duplicate it on the [data](../apps/data) directory.
 
-Your user information is encoded in the [.env](../.env) file. If your user id
-and group id are not `1000` (defaults in debian-based sytem) then you need to
+Your user information is encoded in the [.env](../.env) file. If your user-id
+and group id are not `1000` (defaults in debian-based system) then you need to
 change this file.
 
 Using this container is trivial, plus it also comes packaged with nice tools