demo_version update with xmem initialize sam--li

app.py

@@ -71,7 +71,10 @@ def get_frames_from_video(video_input, play_state):
         [[0:nearest_frame], [nearest_frame:], nearest_frame]
     """
     video_path = video_input
+    try:
         timestamp = play_state[1] - play_state[0]
+    except:
+        timestamp = 0.1
     frames = []
     try:
         cap = cv2.VideoCapture(video_path)
@@ -196,7 +199,7 @@ def interactive_correction(video_state, point_prompt, click_state, select_correc
 def correct_track(video_state, select_correction_frame, corrected_state, masks, logits, painted_images):
     model.xmem.clear_memory()
     # inference the following images
-    following_images = video_state[1][select_correction_frame+1:]
+    following_images = video_state[1][select_correction_frame:]
     corrected_masks, corrected_logits, corrected_painted_images = model.generator(images=following_images, mask=corrected_state[0])
     masks = masks[:select_correction_frame] + corrected_masks
     logits = logits[:select_correction_frame] + corrected_logits
@@ -216,7 +219,7 @@ xmem_checkpoint = download_checkpoint(xmem_checkpoint_url, folder, xmem_checkpoi
 
 # args, defined in track_anything.py
 args = parse_augment()
-args.port = 12212
+args.port = 12315
 args.device = "cuda:2"
 
 model = TrackingAnything(SAM_checkpoint, xmem_checkpoint, args)
@@ -328,11 +331,11 @@ with gr.Blocks() as iface:
     
     # clear input
     video_input.clear(
-        lambda: (None, [], [], [[], [], []], 
+        lambda: ([], [], [[], [], []], 
                  None, "", "", "", "", "", "", "", [[],[]],
                  None),
         [],
-        [video_input, state, play_state, video_state, 
+        [ state, play_state, video_state, 
          template_frame, video_output, image_output, origin_image, template_mask, painted_images, masks, logits, click_state,
          select_correction_frame],
         queue=False,

track_anything.py

@@ -12,7 +12,7 @@ class TrackingAnything():
     def __init__(self, sam_checkpoint, xmem_checkpoint, args):
         self.args = args
         self.samcontroler = SamControler(sam_checkpoint, args.sam_model_type, args.device)
-        self.xmem = BaseTracker(xmem_checkpoint, device=args.device, )
+        self.xmem = BaseTracker(xmem_checkpoint, device=args.device, sam_checkpoint=sam_checkpoint, model_type=args.sam_model_type)
     
    
     def inference_step(self, first_flag: bool, interact_flag: bool, image: np.ndarray,