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import os
from database.utils import similarity
import cv2
from vgg.vgg_face import MODEL_FACE
from yolo.yoloFace import YOLO_FACE
class Retriever:
"""Base Retriever class"""
def __init__(self, thres=0.7, folder_loc="database/images", *args, **kwargs):
self.thres = thres
self.folder_loc = folder_loc
def unlock_lock(self, *args, **kwargs): ...
def __call__(self, *args, **kwargs):
return self.unlock_lock(*args, **kwargs)
class Naive(Retriever):
def unlock_lock(self, emb):
"Kind of Dynamic but very slow"
for root, dirs, files in os.walk(self.folder_loc):
for file in files:
file_path = os.path.join(root, file)
image = cv2.imread(file_path)
for patch in YOLO_FACE(image):
embedding = MODEL_FACE(patch)
if similarity(emb, embedding) > self.thres:
return True
return False
class BruteForceStore(Retriever):
def __init__(self, *args, **kwargs):
"""
Watch dog integration required later
Only Use when the number of images are less
"""
super().__init__(*args, **kwargs)
self.embeddings = []
for root, dirs, files in os.walk(self.folder_loc):
for file in files:
file_path = os.path.join(root, file)
image = cv2.imread(file_path)
for patch in YOLO_FACE(image):
embedding = MODEL_FACE(patch)
self.embeddings.append(embedding)
def unlock_lock(self, emb):
"""Only Use when the number of images are less"""
for embedding in self.embeddings:
print(f"similarity : {similarity(emb, embedding)}")
if similarity(emb, embedding) > self.thres:
return True
return False |