I have typed the code as mentioned in the video but it is not displaying the text and bounding box around the face although the file is getting loaded :
the code is as follows :
import numpy as np
import cv2
import os
KNN CODE
def distance(v1,v2):
return np.sqrt(((v1-v2)**2).sum())
def knn(train,test,k=5):
dist = []
for i in range(train.shape[0]):
# Get the vector and label
ix = train[i,:-1]
iy = train[i,-1]
d = distance(test, ix)
dist.append([d,iy])
dk = sorted(dist, key=lambda x:x[0])[:k]
labels = np.array(dk)[:, -1]
output = np.unique(labels, return_count=True)
index = np.argmax(output[1])
return output[0][index]
cap = cv2.VideoCapture(0)
face_cascade = cv2.CascadeClassifier(‘C:\Users\Charu Anant Rajput\Desktop\Python\opencv\data\haarcascades\haarcascade_frontalface_alt.xml’)
skip = 0
dataset_path = ‘./data/’
face_data = []
labels = []
class_id = 0
names = {} #Mapping between the id-name
for fx in os.listdir(dataset_path):
if(fx.endswith(’.npy’)):
names[class_id] = fx[:-4] #slicing the last 4 characters to create mapping between class_id and name
print("Loaded " + fx)
data_item = np.load(dataset_path+fx)
face_data.append(data_item)
target = class_id*np.ones((data_item.shape[0],))
class_id+=1
labels.append(target)
face_dataset = np.concatenate(face_data,axis=0)
face_labels = np.concatenate(labels,axis=0).reshape((-1,1))
print(face_dataset.shape)
print(face_labels.shape)
trainset = np.concatenate((face_dataset,face_labels),axis=1)
print(trainset.shape)
while True:
ret,frame = cap.read()
if ret == False:
continue
faces = face_cascade.detectMultiScale(frame,1.3,5)
#iterate over the faces
for face in faces:
x,y,w,h = face
offset = 10
face_section = frame[y-offset:y+h+offset,x-offset:x+w+offset]
face_section = cv2.resize(face_section,(100,100))
#call the knn method to give the output
out = knn(trainset,face_section.flatten())
pred_name = name[int(out)]
cv2.putText(frame,pred_name,(x,y-10),cv2,FONT_HERSHEY_SIMPLEX,1,(255,0,0),2,cv2.LINE_AA)
cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,255),2)
cv2.imshow("Faces",frame)
key = cv2.waitKey(1) & 0xFF
if key == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
