yxma commited on
Commit
3bb8031
·
verified ·
1 Parent(s): fc9b06b

ReactWindowDataset: default min_motion_fraction 0.5 -> 0.25 (a window passes if >=25 % of frames per active sensor are above the speed threshold).

Browse files
examples/README.md CHANGED
@@ -51,7 +51,7 @@ ds = ReactWindowDataset(
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  # (4) — motion content (recommended for dynamics learning)
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  require_motion = True,
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  min_motion_mps = 0.01, # 10 mm/s
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- min_motion_fraction = 0.5,
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  which_sensors_must_move = "all_active",
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  )
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  loader = DataLoader(ds, batch_size=8, shuffle=True, num_workers=2)
@@ -97,7 +97,7 @@ moving_R = np.concatenate([[speed_R[0]], speed_R]) >= 0.01
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  def good(t, L):
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  if mask[t:t + L].any():
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  return False
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- return moving_L[t:t + L].mean() >= 0.5 and moving_R[t:t + L].mean() >= 0.5
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  ```
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103
  ## Coordinates note
 
51
  # (4) — motion content (recommended for dynamics learning)
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  require_motion = True,
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  min_motion_mps = 0.01, # 10 mm/s
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+ min_motion_fraction = 0.25,
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  which_sensors_must_move = "all_active",
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  )
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  loader = DataLoader(ds, batch_size=8, shuffle=True, num_workers=2)
 
97
  def good(t, L):
98
  if mask[t:t + L].any():
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  return False
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+ return moving_L[t:t + L].mean() >= 0.25 and moving_R[t:t + L].mean() >= 0.25
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  ```
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  ## Coordinates note
examples/demo_react_window.py CHANGED
@@ -139,7 +139,7 @@ def main():
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  respect_active_sensors = True,
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  require_motion = not args.no_motion_filter,
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  min_motion_mps = 0.01,
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- min_motion_fraction = 0.5,
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  which_sensors_must_move = "all_active",
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  )
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  respect_active_sensors = True,
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  require_motion = not args.no_motion_filter,
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  min_motion_mps = 0.01,
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+ min_motion_fraction = 0.25,
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  which_sensors_must_move = "all_active",
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  )
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examples/react_window_dataset.py CHANGED
@@ -67,7 +67,7 @@ ds = ReactWindowDataset(
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  # motion filter (recommended on for dynamics learning)
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  require_motion = True,
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  min_motion_mps = 0.01, # 10 mm/s — below typical slow manipulation
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- min_motion_fraction = 0.5,
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  which_sensors_must_move = "all_active",
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  )
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  loader = DataLoader(ds, batch_size=8, shuffle=True, num_workers=2)
@@ -151,7 +151,7 @@ class ReactWindowDataset(Dataset):
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  min_motion_mps : float, default 0.03
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  Per-frame translation speed (in m/s) above which a frame counts as
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  "moving" for a given sensor.
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- min_motion_fraction : float in [0, 1], default 0.5
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  An active sensor passes the motion filter if ≥ this fraction of
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  the window's frames have speed ≥ `min_motion_mps`.
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  which_sensors_must_move : {"any", "all_active"}, default "all_active"
@@ -185,7 +185,7 @@ class ReactWindowDataset(Dataset):
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  respect_active_sensors: bool = True,
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  require_motion: bool = False,
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  min_motion_mps: float = 0.01,
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- min_motion_fraction: float = 0.5,
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  which_sensors_must_move: str = "all_active",
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  fps: float = 30.0,
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  ):
@@ -385,7 +385,7 @@ if __name__ == "__main__":
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  ap.add_argument("--which_sensors", default="any", choices=["any", "both", "left", "right"])
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  ap.add_argument("--require_motion", action="store_true")
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  ap.add_argument("--min_motion_mps", type=float, default=0.01)
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- ap.add_argument("--min_motion_fraction", type=float, default=0.5)
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  ap.add_argument("--which_sensors_must_move", default="all_active",
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  choices=["any", "all_active"])
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  args = ap.parse_args()
 
67
  # motion filter (recommended on for dynamics learning)
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  require_motion = True,
69
  min_motion_mps = 0.01, # 10 mm/s — below typical slow manipulation
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+ min_motion_fraction = 0.25,
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  which_sensors_must_move = "all_active",
72
  )
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  loader = DataLoader(ds, batch_size=8, shuffle=True, num_workers=2)
 
151
  min_motion_mps : float, default 0.03
152
  Per-frame translation speed (in m/s) above which a frame counts as
153
  "moving" for a given sensor.
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+ min_motion_fraction : float in [0, 1], default 0.25
155
  An active sensor passes the motion filter if ≥ this fraction of
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  the window's frames have speed ≥ `min_motion_mps`.
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  which_sensors_must_move : {"any", "all_active"}, default "all_active"
 
185
  respect_active_sensors: bool = True,
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  require_motion: bool = False,
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  min_motion_mps: float = 0.01,
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+ min_motion_fraction: float = 0.25,
189
  which_sensors_must_move: str = "all_active",
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  fps: float = 30.0,
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  ):
 
385
  ap.add_argument("--which_sensors", default="any", choices=["any", "both", "left", "right"])
386
  ap.add_argument("--require_motion", action="store_true")
387
  ap.add_argument("--min_motion_mps", type=float, default=0.01)
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+ ap.add_argument("--min_motion_fraction", type=float, default=0.25)
389
  ap.add_argument("--which_sensors_must_move", default="all_active",
390
  choices=["any", "all_active"])
391
  args = ap.parse_args()