Full Body Human Detection Using OpenCV

avinashkranjan · avinashkranjan · commit 81a319f57ea8 · 2020-09-30T12:49:25.000+05:30
diff --git a/Human Detection/README.md b/Human Detection/README.md
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+# Full Body Human Detection
+
+Uses OpenCV to Detect Human using pre trained data.
+
+## Image Processing
+
+Image Processing is most commonly termed as 'Digital Image Processing' and the domain in which it is frequently used is 'Computer Vision'.
+
+Both Image Processing algorithms and Computer Vision (CV) algorithms take an image as input; however, in image processing,the output is also an image, whereas in computer vision the output can be some features/information about the image.
+
+## OpenCV
+
+![](https://logodix.com/logo/1989939.png)
+
+## Installation
+
+### Windows
+
+`$ pip install opencv-python`
+
+### MacOS
+
+`$ brew install opencv3 --with-contrib --with-python3`
+
+### Linux
+
+`$ sudo apt-get install libopencv-dev python-opencv`
diff --git a/Human Detection/script.py b/Human Detection/script.py
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+import cv2
+img_file = "Human.jpg"
+# trained human data  Link:"https://raw.githubusercontent.com/opencv/opencv/master/data/haarcascades/haarcascade_fullbody.xml"
+classifier_Human = 'car_dect.xml'
+img = cv2.imread(img_file)  # create image reader
+# convert image black and white i.e. grayscale
+black_and_white = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+Human_detect = cv2.CascadeClassifier(classifier_Human)  # create classifier
+humans = Human_detect.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
+    # this loop will create grren rectangle when car is detected
+    cv2.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), 3)
+
+cv2.imshow('Human image', img)  # display image
+cv2.waitKey()
