01_face_capture_dataset.py

1 files changed, 30 insertions, 0 deletions

diff --git a/face-detection/01_face_capture_dataset.py b/face-detection/01_face_capture_dataset.py
new file mode 100644
index 0000000..327264c
--- /dev/null
+++ b/face-detection/01_face_capture_dataset.py
@@ -0,0 +1,30 @@
+import cv2
+import os
+cam = cv2.VideoCapture(0)
+cam.set(3, 640) # set video width
+cam.set(4, 480) # set video height
+face_detector = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
+# For each person, enter one numeric face id
+face_id = input('\n----Enter User-id and press <return>----')
+print("\n Initializing face capture. Look the camera and wait!")
+# Initialize individual sampling face count
+count = 0
+while(True):
+    ret, img = cam.read()
+    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+    faces = face_detector.detectMultiScale(gray, 1.3, 5)
+    for (x,y,w,h) in faces:
+        cv2.rectangle(img, (x,y), (x+w,y+h), (255,0,0), 2)     
+        count += 1 # increment
+        # Save the captured image into the datasets folder
+        cv2.imwrite("dataset/User." + str(face_id) + '.' + str(count) + ".jpg", gray[y:y+h,x:x+w]) #req os
+        cv2.imshow('image', img)
+    k = cv2.waitKey(100) & 0xff # Press 'ESC' for exiting video
+    if k == 27:
+        break
+    elif count >= 30: # Take 30 face sample and stop video capture
+         break
+# Do a bit of cleanup
+print("\n Exiting Program and cleaning up stuff")
+cam.release()
+cv2.destroyAllWindows()