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Couple of minor spelling corrections #2

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12 changes: 6 additions & 6 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@ configuration management, easy to use interfaces, deployment tools, backend
databases, and analysis tools that FaRO provides.

In our research we have found that there are many high quality and open source
face analysis and recognition algorithms avalible for research however
face analysis and recognition algorithms available for research however
end-to-end systems that can support larger systems or can be retrained for niche
applications are lacking. We hope FARO can fill some of those needs.

Expand All @@ -20,10 +20,10 @@ The primary goals of this project are:
2. Provide well defined benchmark algorithms.
3. Allow for algorithm improvements via open source software and models and support improvements using techniques like transfer learning.

FARO is designed as a client/server system to accomodate the need for high speed GPU
FARO is designed as a client/server system to accommodate the need for high speed GPU
hardware to support deep learning face processing. GRPC calls are used to communicate
with the server components which allows the clients to be written in many languages and
implemented on a varity of computationally limited platforms such as cellphones or biometric
implemented on a variety of computationally limited platforms such as cellphones or biometric
collection devices.

## Publications
Expand Down Expand Up @@ -77,7 +77,7 @@ $ ./build-proto.sh
In one terminal run the DLIB service. When you do this for the first time it
will create a "faro-storage" directory and will download and extract the machine
learning models. At the end it will print out messages for each started worker:
"Worker N Started." By default the services is started on port localhost:50030.
"Worker N Started." By default, the services are started on port localhost:50030.

```
$ source env_faro_server/bin/activate
Expand All @@ -86,7 +86,7 @@ $ ./run-dlib.sh
```

The VGG2Resnet model can also be run using similar commands, but only run one
service at a time unless you carefully configure the ports and check avalible
service at a time unless you carefully configure the ports and check available
memory, etc.

```
Expand All @@ -96,7 +96,7 @@ $ ./run-vgg2.sh
```

In a second terminal run client applications for this you can use either the
"env_faro" or "env_faro_server" environments. A simple test is avalible in the
"env_faro" or "env_faro_server" environments. A simple test is available in the
test directory that will download images and run a small test. This test will
populate directories named "faces" and "matches" with results.

Expand Down