added face recognition + extraction

data/extracted/.gitignore

@@ -0,0 +1,4 @@
+# Ignore everything in this directory
+*
+# Except this .gitignore file
+!.gitignore

data/results/.gitignore

@@ -0,0 +1,4 @@
+# Ignore everything in this directory
+*
+# Except this .gitignore file
+!.gitignore

src/detector.py

@@ -9,7 +9,7 @@ class Detector():
         
         if self.detector is None:
             self.detector = cv2.FaceDetectorYN.create(
-                "../models/face_detection_yunet_2026may.onnx",
+                "./models/face_detection_yunet_2026may.onnx",
                 "",
                 (320,320),
                 0.85,

src/face_detection.py

@@ -2,18 +2,18 @@ import cv2
 
 from detector import *
 
-def detect_in_image(image_path:str, scale = 1):
+def detect_face_in_image(img, scale = 1):
     
-    img = cv2.imread(image_path)
-    
-    imgW = img1.shape[1] * scale
-    imgH = img1.shape[0] * scale
-
-    img = cv2.resize(img, (imgH, imgW))
-
     detector = Detector.get()
-    detector.setInputSize((imgH, imgW))
 
-    face = detector.detect(img)
+    imgW = img.shape[1] * scale
+    imgH = img.shape[0] * scale
 
-    return face
+    # Redimensionner l'image pour le modèle
+    img_resized = cv2.resize(img, (imgW, imgH,))
+
+    detector.setInputSize((img.shape[1], img.shape[0]))
+
+    faces_raw = detector.detect(img)
+    
+    return faces_raw

src/face_recognition.py

@@ -4,10 +4,13 @@ from recognizer import Recognizer
 
 def extract_faces(faces:list, img:list, filename:str): 
     
-    for i in faces:
+    recognizer = Recognizer.get()
+
+    for i in range(1, len(faces)):
         face = faces[i]
-        croped_img = recognizer.alignCrop(img, face[1][0])
+
-        cv2.imwrite(f"../data/extracted/{filename}_{i}.png")
+        croped_img = recognizer.alignCrop(img, face[0])
+        cv2.imwrite(f"./data/extracted/{filename}_{i}.png", croped_img)
 
 
 def is_same_face(

src/main.py

@@ -1,5 +1,29 @@
 import cv2
+import os
 
+from utils import *
 from face_detection import *
 from face_recognition import *
 
+# list all files in data/raw
+files = list_all_files("./data/raw", ["jpg", "webp"])
+
+# process each files
+for file_path in files:
+    
+    filename = file_path.split("/")[-1].split(".")[0]
+
+    # load image
+    img = cv2.imread(file_path)
+    if img is None:
+        print(f"ERROR: Could not read image at {file_path}")
+        continue
+    cv2.imshow("image1", img)
+
+    # detect faces file
+    faces = detect_face_in_image(img, scale=1)
+
+    # extract faces from file
+    extract_faces(faces, img, filename)
+
+cv2.destroyAllWindows()

src/recognizer.py

@@ -8,8 +8,8 @@ class Recognizer():
     def get(self):
         
         if self.recognizer is None:
-            recognizer = cv2.FaceRecognizerSF.create(
+            self.recognizer = cv2.FaceRecognizerSF.create(
-               "../models/face_recognition_sface_2021dec_int8.onnx",
+               "./models/face_recognition_sface_2021dec_int8.onnx",
                 ""
             )
         

src/utils.py

@@ -1,3 +1,27 @@
+import os
 
+def list_all_files(path='.', extension:list[str] = []):
+    
+    dirs = [path]
+    res = []
+    while len(dirs) > 0:
+        for entry in os.listdir(dirs[0]):
 
-def load_image
+            full_path = os.path.join(dirs[0], entry)
+
+            if os.path.isdir(full_path):
+                dirs.append(full_path)
+                continue
+            
+            if len(extension) == 0:
+                res.append(full_path)
+            elif  full_path.split(".")[-1] in extension:
+                res.append(full_path)
+
+        dirs.pop(0)
+
+    return res
+
+if __name__ == "__main__":
+    files = list_all_files("./data/raw/", ["jpg", "webp"])
+    print(files)