Update README.md

README.md

@@ -10,7 +10,7 @@
  - Measuring the distance of an object using depth information
  - Inference on Multiple Camera feed at a time
 
-For object detection, YOLO-V3 has been used, which is able to detect 80 different objects. Some of those are-
+For object detection, YOLO-V3 has been used, which can detect 80 different objects. Some of those are-
 - person
 - car
 - bus
@@ -30,12 +30,12 @@ For object detection, YOLO-V3 has been used, which is able to detect 80 differen
     cd YOLOv4
   ```
 
-You can also use Yolact++ as a object detector using [this](https://github.com/paul-pias/Social-Distance-Monitoring) repo.
+You can also use Yolact++ as an object detector using [this] repo (https://github.com/paul-pias/Social-Distance-Monitoring).
 
 
-To execute object_dection.py, you require Python version > 3.5 (depends if you are using gpu or not) and have to install the following libraries.
+To execute object_dection.py, you require Python version > 3.5 (depending on whether you are using GPU or not) and have to install the following libraries.
 
-### Instalation
+### Installation
 ``` python
     $ pip install -r requirements.txt
          or
@@ -54,7 +54,7 @@ To execute object_dection.py, you require Python version > 3.5 (depends if you a
 ```
 or please follow the instructions from [Pytorch](https://pytorch.org/)
 #### For installing the "win32com.client" which is Text-to-Speech module for windows you have follow this
-First open the cmd as an administrator, then run
+First, open the cmd as an administrator, then run
 ``` python
    $ python -m pip install pywin32
    #After installing, open your Python shell and run
@@ -63,15 +63,15 @@ First open the cmd as an administrator, then run
       speaker.Speak("Good Morning")
 ```
 
-You need to clone the repository using git bash (if git bash is already installed), or you can download the zip file.
+You need to clone the repository using git bash (if git bash has already been installed), or you can download the zip file.
 ``` python
     $ git clone https://github.com/paul-pias/Object-Detection-and-Distance-Measurement.git
 ```
 
 After unzipping the project, there are two ways to run this. If you want to see your output in your browser, execute the "app.py" script or run "object_detection.py" to execute it locally.
 
 
-If you want to run object detection and distance measurement on a video file, just write the name of the video file to variable <b>id</b> in either "app.py" or "object_detection.py" or if you want to run it on your webcam just put 0 in <b>id</b>.
+If you want to run object detection and distance measurement on a video file, write the name of the video file to variable <b>id</b> in either "app.py" or "object_detection.py" or if you want to run it on your webcam just put 0 in <b>id</b>.
 
 However, if you want to run the inference on a feed of <b>IP Camera </b>, use the following convention while assigning it to the variable <b>"id"</b>
 ``` python
@@ -80,7 +80,7 @@ However, if you want to run the inference on a feed of <b>IP Camera </b>, use th
 
 You can check the performance on different weights of YOLO, which are available in [YOLO](https://pjreddie.com/darknet/yolo/?style=centerme)
 
-For multiple camera support, you need to add a few codes as follows in app.py-
+For multiple camera support, you need to add a few lines of codes as follows in app.py-
 
 ``` python
    def simulate(camera):
@@ -115,13 +115,13 @@ You have to use git-lfs to download the yolov3.weight file. However you can also
 <hr>
 
 #### Theory
-In a traditional image classification approach for object detection, there are two well-known strategies.
+There are two well-known strategies in a traditional image classification approach for object detection.
 
-For a single object in an image, there are two scenarios.
+There are two scenarios for a single object in an image.
 - Classification
 - Localization
 
-For multiple objects in an image, there are two scenarios.
+There are two scenarios for multiple objects in an image.
 - Object detection and localization
 - Object segmentation
 <p align="center"> 
@@ -139,7 +139,7 @@ For multiple objects in an image, there are two scenarios.
 <img src="http://muizzer07.pythonanywhere.com/media/files/Ultrasonic-Sensor.jpg">
 </p>
 <hr>
-Traditionally we measure the distance of any object using Ultrasonic sensors such as HC-sr04 or any other high-frequency devices which generate sound waves to calculate the distance it traverses.
+Traditionally, we measure the distance of any object using Ultrasonic sensors such as HC-sr04 or any other high-frequency devices that generate sound waves to calculate the distance it traverses.
 However, when you are working with an embedded device to make a compact design that has functionalities such as 
 
 - Object detection (with camera) and