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faceDetection.py
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faceDetection.py
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import cv2 as cv
from matplotlib.transforms import Bbox
import mediapipe as mp
class faceDetector():
def __init__(self, mode = False, maxFaces = 2, detectionCon = 0.5,
trackCon = 0.5):
self.maxFaces = maxFaces
self.detectionCon = detectionCon
self.trackCon = trackCon
self.mpFaceDetection = mp.solutions.face_detection
self.mpDraw = mp.solutions.drawing_utils
self.faceDetection = self.mpFaceDetection.FaceDetection(self.detectionCon)
def findFaces(self, img, draw = True):
imgRGB = cv.cvtColor(img,cv.COLOR_BGR2RGB)
self.results = self.faceDetection.process(imgRGB)
bboxs = []
if self.results.detections:
for id, detection in enumerate(self.results.detections):
#print(detection.score)
bboxC = detection.location_data.relative_bounding_box
ih, iw, ic = img.shape
bbox = int(bboxC.xmin * iw), int(bboxC.ymin *ih), int(bboxC.width *iw),int(bboxC.height * ih)
bboxs.append([id, bbox, detection.score])
#cv.rectangle(img, bbox, (255,0,255), 2)
if draw:
img = self.fancyDraw(img,bbox)
cv.putText(img, f'{int(detection.score[0]*100)}%', (bbox[0], bbox[1] - 20), cv.FONT_HERSHEY_PLAIN,
2, (255,0,255), 2)
return img, bboxs
def fancyDraw(self, img, bbox, l = 30, t = 5, rt = 1):
x, y, w , h = bbox
x1, y1, = x+w, y+h
cv.rectangle(img, bbox, (255,0,255), rt)
#top left corner
cv.line(img, (x,y),(x+l,y),(255,0,255),t)
cv.line(img, (x,y),(x,y+l),(255,0,255),t)
#top right corner
cv.line(img, (x1,y),(x1-l,y),(255,0,255),t)
cv.line(img, (x1,y),(x1,y+l),(255,0,255),t)
#bottom left corner
cv.line(img, (x,y1),(x+l,y1),(255,0,255),t)
cv.line(img, (x,y1),(x,y1-l),(255,0,255),t)
#bottom right corner
cv.line(img, (x1,y1),(x1-l,y1),(255,0,255),t)
cv.line(img, (x1,y1),(x1,y1-l),(255,0,255),t)
return img
def displayFaceDetection():
cap = cv.VideoCapture(0)
detector = faceDetector()
while True:
success, img = cap.read()
if success:
img , bboxs = detector.findFaces(img)
cv.imshow("Image", img)
k = cv.waitKey(1) & 0xFF
if k == 27:
break
else:
print("No VideoCapture Detected :C")
break;