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  ---
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  license: apache-2.0
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- tags:
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- - autonomous-driving
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- - planning
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- - pytorch
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  ---
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  # TFv6 NavSim
@@ -15,27 +11,6 @@ Autonomous driving planning model (TransFuser-based). Predicts waypoints and hea
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  ```bash
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  pip install torch timm numpy opencv-python jaxtyping beartype omegaconf huggingface_hub
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  ```
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-
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- ### Quick Start
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-
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- ```python
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- from inference import TFv6NavSimInference
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- import numpy as np
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-
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- # Auto-downloads from HuggingFace
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- model = TFv6NavSimInference()
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-
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- # Prepare input
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- rgb = np.random.randint(0, 255, (256, 1920, 3), dtype=np.uint8)
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- command = [0, 1, 0, 0] # [left, straight, right, unknown]
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- speed = 5.0 # m/s
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- acceleration = 0.0 # m/s²
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-
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- # Run inference
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- result = model.predict(rgb, command, speed, acceleration)
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- print(result['waypoints'].shape, result['headings'].shape)
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- ```
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-
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  ## Input/Output
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  **Input:**
 
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  ---
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  license: apache-2.0
 
 
 
 
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  ---
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  # TFv6 NavSim
 
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  ```bash
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  pip install torch timm numpy opencv-python jaxtyping beartype omegaconf huggingface_hub
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Input/Output
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  **Input:**