attempt to fix resize bug

demo.py

@@ -6,6 +6,7 @@ import imageSegmentation
 
 from mediapipe.tasks.python import vision
 import Visualization_utilities as vis
+import time
 
 # Get a reference to webcam #0 (the default one)
 # video_capture = cv2.VideoCapture(0)
@@ -79,10 +80,16 @@ def process_frame(frame, process_this_frame, face_locations, faces, face_names,
     if process_this_frame:
         face_names = []
         # Resize frame of video to 1/4 size for faster face recognition processing
-        small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)
+        # if frame != None:
+        #     print(f'frame: {len(frame)}')
+            # try: 
+            #     small_frame = cv2.imread(image_dir)
+        # small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)
+        # else:
+        #     print('fram has nth')
 
         # Convert the image from BGR color (which OpenCV uses) to RGB color (which face_recognition uses)
-        rgb_small_frame = cv2.cvtColor(small_frame, cv2.COLOR_BGR2RGB)
+        rgb_small_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) # edited
         
         # Find all the faces and face encodings in the current frame of video
         face_locations = face_recognition.face_locations(rgb_small_frame)
@@ -135,10 +142,10 @@ def process_frame(frame, process_this_frame, face_locations, faces, face_names,
         
     for (top, right, bottom, left), name in zip(face_locations, face_names):
         # Scale back up face locations since the frame we detected in was scaled to 1/4 size
-        top *= 4
-        right *= 4
-        bottom *= 4
-        left *= 4
+        # top *= 4
+        # right *= 4
+        # bottom *= 4
+        # left *= 4
 
         # Draw a box around the face
         cv2.rectangle(frame, (left, top), (right, bottom), (65, 181, 41), 4)