Fix Quick Start: correct import paths, class names, and install command per actual codebase

README.md

@@ -78,13 +78,21 @@ All checkpoints are released under the **Apache License 2.0**.
 
 ```python
 import torch
-from tapnet.torch import tapnextpp
+from tapnet.tapnextpp.votsp2026.model import TAPNextPP
 
-# Load model
-model = tapnextpp.TAPNextPlusPlus()
-checkpoint = torch.load("tapnextpp_ckpt.pt", map_location="cpu")
-model.load_state_dict(checkpoint)
-model.eval()
+# Load model (handles checkpoint parsing internally)
+model = TAPNextPP.from_checkpoint(
+    "tapnextpp_ckpt.pt",       # or "tapnextpp_512.ckpt" for 512×512
+    device="cuda",
+    input_resolution=256,      # use 512 for the 512×512 checkpoint
+)
+
+# Online tracking: first frame with query points
+positions, visible, state = model.track_frame(frame_bgr, query_points_xy=query_xy)
+
+# Subsequent frames
+for frame in subsequent_frames:
+    positions, visible, state = model.track_frame(frame, state=state)
 ```
 
 See the [TAPNext++ Colab](https://colab.research.google.com/github/deepmind/tapnet/blob/main/colabs/torch_tapnextpp_demo.ipynb) for a complete demo.
@@ -96,9 +104,9 @@ import torch
 from tapnet.torch import tapir_model
 
 # Load model
-model = tapir_model.ParameterizedTAPIR()
-checkpoint = torch.load("bootstapir_checkpoint_v2.pt", map_location="cpu")
-model.load_state_dict(checkpoint)
+model = tapir_model.TAPIR(pyramid_level=1)
+model.load_state_dict(torch.load("bootstapir_checkpoint_v2.pt"))
+model = model.to(device)
 model.eval()
 ```
 
@@ -107,9 +115,7 @@ See the [PyTorch TAPIR Colab](https://colab.research.google.com/github/deepmind/
 ## Installation
 
 ```bash
-pip install tapnet
-# or with PyTorch support
-pip install "tapnet[torch]"
+pip install "tapnet[torch] @ git+https://github.com/google-deepmind/tapnet.git"
 ```
 
 ## Citation