From 5da407c1bd15f8a2e72926867d1fbb160a586298 Mon Sep 17 00:00:00 2001
From: Yash Patel <49101492+ryuk156@users.noreply.github.com>
Date: Sun, 16 Aug 2020 13:59:43 +0530
Subject: [PATCH 1/3] Create car_detection_image.py

---
 Image-Processing/car_detection_image.py | 35 +++++++++++++++++++++++++
 1 file changed, 35 insertions(+)
 create mode 100644 Image-Processing/car_detection_image.py

diff --git a/Image-Processing/car_detection_image.py b/Image-Processing/car_detection_image.py
new file mode 100644
index 00000000..14c10449
--- /dev/null
+++ b/Image-Processing/car_detection_image.py
@@ -0,0 +1,35 @@
+import cv2
+
+img_file="car2.jpg"
+
+#trained car data  Link:"https://gist.github.com/199995/37e1e0af2bf8965e8058a9dfa3285bc6"
+classifier_car='car_dect.xml'
+
+#create image reader
+img=cv2.imread(img_file)
+
+#convert image black and white i.e. grayscale 
+black_and_white=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
+
+#create classifier
+car_tracker=cv2.CascadeClassifier(classifier_car)
+
+#detect cars
+cars=car_tracker.detectMultiScale(black_and_white)
+
+
+## the above variable will return 4 cordinates i.e height,width,postionx,positiony
+
+
+for (x,y,w,h) in cars: 
+    cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),3) ##this loop will create grren rectangle when car is detected
+
+
+
+
+
+#display image
+cv2.imshow('car image',img)
+
+cv2.waitKey()
+

From 7f65b64a3ca3286ad60224b4fbf15762111e7fb6 Mon Sep 17 00:00:00 2001
From: Yash Patel <49101492+ryuk156@users.noreply.github.com>
Date: Sun, 16 Aug 2020 16:18:55 +0530
Subject: [PATCH 2/3] Update car_detection_image.py

---
 Image-Processing/car_detection_image.py | 37 +++++--------------------
 1 file changed, 7 insertions(+), 30 deletions(-)

diff --git a/Image-Processing/car_detection_image.py b/Image-Processing/car_detection_image.py
index 14c10449..109668c0 100644
--- a/Image-Processing/car_detection_image.py
+++ b/Image-Processing/car_detection_image.py
@@ -1,35 +1,12 @@
 import cv2
-
 img_file="car2.jpg"
-
-#trained car data  Link:"https://gist.github.com/199995/37e1e0af2bf8965e8058a9dfa3285bc6"
-classifier_car='car_dect.xml'
-
-#create image reader
-img=cv2.imread(img_file)
-
-#convert image black and white i.e. grayscale 
-black_and_white=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
-
-#create classifier
-car_tracker=cv2.CascadeClassifier(classifier_car)
-
-#detect cars
-cars=car_tracker.detectMultiScale(black_and_white)
-
-
-## the above variable will return 4 cordinates i.e height,width,postionx,positiony
-
-
-for (x,y,w,h) in cars: 
+classifier_car='car_dect.xml'  #trained car data  Link:"https://gist.github.com/199995/37e1e0af2bf8965e8058a9dfa3285bc6"
+img=cv2.imread(img_file) #create image reader
+black_and_white=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) #convert image black and white i.e. grayscale 
+car_tracker=cv2.CascadeClassifier(classifier_car) #create classifier
+cars=car_tracker.detectMultiScale(black_and_white) #detect cars
+for (x,y,w,h) in cars:  ## the above variable will return 4 cordinates i.e height,width,postionx,positiony
     cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),3) ##this loop will create grren rectangle when car is detected
-
-
-
-
-
-#display image
-cv2.imshow('car image',img)
-
+cv2.imshow('car image',img) #display image
 cv2.waitKey()
 

From 99a5fdbb49441d8d427f04fa7c770f3123a942bb Mon Sep 17 00:00:00 2001
From: Yash Patel <49101492+ryuk156@users.noreply.github.com>
Date: Mon, 17 Aug 2020 23:27:52 +0530
Subject: [PATCH 3/3] Update car_detection_image.py

---
 Image-Processing/car_detection_image.py | 12 +++++++-----
 1 file changed, 7 insertions(+), 5 deletions(-)

diff --git a/Image-Processing/car_detection_image.py b/Image-Processing/car_detection_image.py
index 109668c0..1ab991a1 100644
--- a/Image-Processing/car_detection_image.py
+++ b/Image-Processing/car_detection_image.py
@@ -1,12 +1,14 @@
 import cv2
-img_file="car2.jpg"
-classifier_car='car_dect.xml'  #trained car data  Link:"https://gist.github.com/199995/37e1e0af2bf8965e8058a9dfa3285bc6"
+img_file = "car2.jpg"
+classifier_car = 'car_dect.xml'  #trained car data  Link:"https://gist.github.com/199995/37e1e0af2bf8965e8058a9dfa3285bc6"
 img=cv2.imread(img_file) #create image reader
-black_and_white=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) #convert image black and white i.e. grayscale 
-car_tracker=cv2.CascadeClassifier(classifier_car) #create classifier
-cars=car_tracker.detectMultiScale(black_and_white) #detect cars
+black_and_white = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) #convert image black and white i.e. grayscale 
+car_tracker = cv2.CascadeClassifier(classifier_car) #create classifier
+cars = car_tracker.detectMultiScale(black_and_white) #detect cars
+
 for (x,y,w,h) in cars:  ## the above variable will return 4 cordinates i.e height,width,postionx,positiony
     cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),3) ##this loop will create grren rectangle when car is detected
+    
 cv2.imshow('car image',img) #display image
 cv2.waitKey()