Update cropping logic

@@ -108,6 +108,7 @@ def verify():
     embedding = sess.run(embeddings_placeholder, feed_dict=feed_dict)
     # compare received embedding to database embedding
     verified_id = None
+    dist_min = 99
     sql = "SELECT student_id, embedding FROM student_embedding;"
     cursor.execute(sql)
     result = cursor.fetchall()
@@ -116,16 +117,16 @@ def verify():
         db_embedding = db_embedding.reshape((1,512))
         distance = get_distance(embedding, db_embedding)
         print(distance)
-        if (distance < threshold):
+        if (distance < dist_min):
             verified_id = row_data['student_id']
-            new_embedding = db_embedding * 0.8 + embedding * 0.2
-            new_embedding = new_embedding.tobytes()
-            sql = "UPDATE student_embedding SET embedding=_binary %s WHERE student_id = %s"
-            cursor.execute(sql, (new_embedding, verified_id))
-            attendance_db.commit()
-            break
-
-    if verified_id != None:
+            dist_min = distance
+            # new_embedding = db_embedding * 0.98 + embedding * 0.02
+            # new_embedding = new_embedding.tobytes()
+            # sql = "UPDATE student_embedding SET embedding=_binary %s WHERE student_id = %s"
+            # cursor.execute(sql, (new_embedding, verified_id))
+            # attendance_db.commit()
+
+    if verified_id != None and dist_min < threshold:
         sql = "SELECT student_name FROM student WHERE student_id = %s"
         cursor.execute(sql, (verified_id))
         row_data = cursor.fetchone()

 [verification_server]
 model=models/20200816-080621
-threshold=0.765
+threshold=0.69
 image_size=160

@@ -61,7 +61,7 @@ function detect_face()
 		let point1 = new cv.Point(face.x, face.y);
 		let point2 = new cv.Point(face.x + face.width, face.y + face.height);
 		cv.rectangle(dst, point1, point2, [255, 0, 0, 255], 8);
-		let rect = new cv.Rect(face.x, face.y, face.width, face.height);
+		let rect = new cv.Rect(Math.max(face.x-face.width/4, 0), Math.max(face.y-face.height/2, 0), Math.min(face.width+face.width/2, src.cols), Math.min(face.height+face.height/2, src.rows));
                 let cropped = src.roi(rect);
                 cv.imshow(tempCanvas,cropped);
 	}