def l1_norm(member):
'''
Perform face recognition using L1 distance from 128-d vectors
'''
if member.num > 0:
face_reco_video(0.8, "l1")
else:
messagebox.showerror("Error", "No registered members")
def rand_forest(member):
'''
Perform face recognition using random forest from 128-d vectors
'''
if member.num > 0:
face_reco_video(0.8, "rf")
else:
messagebox.showerror("Error", "No registered members")
def pearson(member):
'''
Perform face recognition using Pearson correlation from 128-d vectors
'''
if member.num > 0:
face_reco_video(0.8, "pearson")
else:
messagebox.showerror("Error", "No registered members")
def knn(member):
'''
Perform face recognition using k-NN from 128-d vectors
'''
if member.num > 0:
face_reco_video(0.8, "knn")
else:
messagebox.showerror("Error", "No registered members")
def cosine_sim(member):
'''
Perform face recognition using cosine similarity from 128-d vectors
'''
if member.num > 0:
face_reco_video(0.8, "cosine")
else:
messagebox.showerror("Error", "No registered members")