added flask framework, tambah karyawan page, scan absensi,and tambah karyawan open cv

app.py

@@ -1,32 +1,19 @@
-import face_recognition
 import cv2
-import os
 
-image_load = 'image1.jpg'
-# image_data = 'faces/rika.png'
-image_data = 'faces/rika.png'
+# Open a video capture object
+cap = cv2.VideoCapture(0)
 
-# Load the images
-image_load_path = os.path.join(os.getcwd(), image_load)
-image_data_path = os.path.join(os.getcwd(), image_data)
-image_load = face_recognition.load_image_file(image_load_path)
-image_data = face_recognition.load_image_file(image_data_path)
+while(True):
+    # Capture frame-by-frame
+    ret, frame = cap.read()
 
-# Find the face locations and encodings in each image
-image_load_face_locations = face_recognition.face_locations(image_load)
-image_load_face_encodings = face_recognition.face_encodings(image_load, image_load_face_locations)
-image_data_face_locations = face_recognition.face_locations(image_data)
-image_data_face_encodings = face_recognition.face_encodings(image_data, image_data_face_locations)
+    # Display the resulting frame
+    cv2.imshow('frame',frame)
 
-# Compare the face encodings
-matches = face_recognition.compare_faces(image_data_face_encodings, image_load_face_encodings[0])
+    # Break the loop on 'q' key press
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        break
 
-# Draw boxes around the faces in the image_load image
-for (top, right, bottom, left), match in zip(image_load_face_locations, matches):
-    if match:
-        cv2.rectangle(image_load, (left, top), (right, bottom), (0, 0, 255), 2)
-
-# Display the image with the boxes around the matching faces
-cv2.imshow('Image', image_load)
-cv2.waitKey(0)
+# When everything done, release the capture and destroy the window
+cap.release()
 cv2.destroyAllWindows()