Uploaded Snapchat Clown Nose Filter/issue1229

Snapchat_Filters/Clown_Nose_Filter/README.md

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+
+# README
+
+* Libraries used:
+    * OpenCV
+    * dlib
+    * NumPy
+
+* Created a Clown Nose filter using OpenCV, dlib and NumPy
+
+* Requirements:
+    * dlib==19.24.0
+    * numpy==1.21.5
+    * opencv_python==4.6.0.66
+
+
+    Output
+
+    <img src="https://github.com/nerdlab53/Face-X/blob/nerdlab53-patch-2/Snapchat_Filters/Clown_Nose_Filter/clowmn_nomse.png">
+
+
+
+
+
+
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+

Snapchat_Filters/Clown_Nose_Filter/filter1.py

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+import cv2
+import numpy as np
+import dlib
+from math import hypot
+
+# Loading Camera and Nose image and Creating mask
+cap = cv2.VideoCapture(0)
+clown_nose = cv2.imread("clowmn_nomse.png")
+_, frame = cap.read()
+rows, cols, _ = frame.shape
+nose_mask = np.zeros((rows, cols), np.uint8)
+
+# Loading Face detector
+detector = dlib.get_frontal_face_detector()
+predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")
+
+while True:
+    _, frame = cap.read()
+    nose_mask.fill(0)
+    gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+
+    faces = detector(frame)
+    for face in faces:
+        landmarks = predictor(gray_frame, face)
+        # Defining the nose coordinates
+        top_nose = (landmarks.part(28).x, landmarks.part(28).y)
+        center_nose = (landmarks.part(30).x, landmarks.part(30).y)
+        left_nose = (landmarks.part(31).x, landmarks.part(31).y)
+        right_nose = (landmarks.part(36).x, landmarks.part(36).y)
+
+        nose_width = int(hypot(left_nose[0] - right_nose[0], left_nose[1] - right_nose[1]) * 1.7)
+        nose_height = int(nose_width * 0.77)
+
+        # Defining the extremities of the area of imposition of the clown nose filter
+        top_left = (int(center_nose[0] - nose_width / 2), int(center_nose[1] - nose_height / 2))
+        bottom_right = (int(center_nose[0] + nose_width / 2), int(center_nose[1] + nose_height / 2))
+
+        # Adding the new nose
+        nose_clown = cv2.resize(clown_nose, (nose_width, nose_height))
+        nose_clown_gray = cv2.cvtColor(nose_clown, cv2.COLOR_BGR2GRAY)
+        _, nose_mask = cv2.threshold(nose_clown_gray, 25, 255, cv2.THRESH_BINARY_INV)
+
+        nose_area = frame[top_left[1]: top_left[1] + nose_height, top_left[0]: top_left[0] + nose_width]
+        nose_area_no_nose = cv2.bitwise_and(nose_area, nose_area, mask=nose_mask)
+        final_nose_clown = cv2.add(nose_area_no_nose, nose_clown)
+
+        frame[top_left[1]: top_left[1] + nose_height, top_left[0]: top_left[0] + nose_width] = final_nose_clown
+
+        cv2.imshow("Clown Nose", nose_area)
+        cv2.imshow("Clown Nose", nose_clown)
+
+    cv2.imshow("Frame", frame)
+
+    key = cv2.waitKey(1)
+    if key == 27:
+        break

Snapchat_Filters/Clown_Nose_Filter/requirements.txt

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+dlib==19.24.0
+numpy==1.21.5
+opencv_python==4.6.0.66