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Initial upload: 100 controlled bimodal demos (50 LEFT + 50 RIGHT)

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  1. README.md +135 -0
  2. demo_pusht.py +258 -0
  3. pusht_controlled_mixed.zarr/.zgroup +3 -0
  4. pusht_controlled_mixed.zarr/data/.zgroup +3 -0
  5. pusht_controlled_mixed.zarr/data/action/.zarray +23 -0
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README.md ADDED
@@ -0,0 +1,135 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ task_categories:
4
+ - robotics
5
+ tags:
6
+ - behavior-cloning
7
+ - diffusion-policy
8
+ - pusht
9
+ - bimodal
10
+ - mode-editing
11
+ size_categories:
12
+ - n<1K
13
+ ---
14
+
15
+ # Push-T Controlled Bimodal Teleop Dataset
16
+
17
+ 100 human-teleoperated Push-T demonstrations (50 LEFT-wrap + 50 RIGHT-wrap), collected
18
+ under a **controlled fixed initial state** so the two modes have kinematically equivalent
19
+ costs. Intended for downstream bimodal behavior-cloning and mode-editing experiments.
20
+
21
+ All demos reach `coverage >= 0.95` shapely-IoU success threshold (env-defined). Demos
22
+ were collected at 10 Hz mouse-driven teleop on the 2D pygame Push-T env from the
23
+ Diffusion Policy paper (Chi et al., RSS 2023).
24
+
25
+ ## What "LEFT" vs "RIGHT" means
26
+
27
+ T starts at lower-left `(185, 327, π/4)` and must translate up-right to the green goal
28
+ silhouette at `(256, 256, π/4)`. The agent (blue circle) spawns upper-right of the T
29
+ at `(327, 185) ± 15 px`. Two equal-cost wrap paths exist:
30
+
31
+ - **LEFT** — agent wraps the **upper-left** side of the T (counter-clockwise about T's center)
32
+ - **RIGHT** — agent wraps the **lower-right** side of the T (clockwise about T's center)
33
+
34
+ Modes alternate by seed parity: even seed → LEFT, odd seed → RIGHT.
35
+
36
+ ![Trajectory overlay](pusht_controlled_mixed_paths.png)
37
+
38
+ ## Files
39
+
40
+ | File | Purpose |
41
+ |------|---------|
42
+ | `pusht_controlled_mixed.zarr/` | The dataset (zarr v2 directory store, 100 episodes / 8060 steps) |
43
+ | `pusht_controlled_mixed_paths.png` | All 100 agent paths, split by mode (visual sanity check) |
44
+ | `demo_pusht.py` | The patched collection script used to generate this dataset |
45
+
46
+ ## Zarr layout
47
+
48
+ ```
49
+ pusht_controlled_mixed.zarr/
50
+ ├── data/ # 8060 timesteps total, 10 Hz
51
+ │ ├── state (8060, 5) float32 # [agent_x, agent_y, T_x, T_y, T_angle]
52
+ │ ├── action (8060, 2) float32 # teleop mouse-target action
53
+ │ ├── img (8060, 96, 96, 3) uint8 # 96×96 RGB env render
54
+ │ ├── keypoint (8060, 9, 2) float32 # 9 T-block keypoints
55
+ │ └── n_contacts (8060, 1) float32
56
+ └── meta/ # 100 episodes
57
+ ├── episode_ends (100,) int64 # cumulative end-indices (DP standard)
58
+ ├── episode_modes (100,) int8 # 0 = LEFT, 1 = RIGHT ← extra
59
+ └── episode_coverages (100,) float32 # final IoU coverage ← extra
60
+ ```
61
+
62
+ The `data/*` arrays and `meta/episode_ends` follow the **same layout** as the canonical
63
+ `pusht_cchi_v7_replay.zarr` from the DP repo. The two extra `meta/*` arrays are
64
+ additions for mode-editing work; the original DP training code ignores them.
65
+
66
+ ## Loading
67
+
68
+ ```python
69
+ import zarr, numpy as np
70
+ from huggingface_hub import snapshot_download
71
+
72
+ local_dir = snapshot_download(
73
+ repo_id='haohw/pusht-controlled-mixed',
74
+ repo_type='dataset',
75
+ )
76
+ r = zarr.open(f'{local_dir}/pusht_controlled_mixed.zarr', mode='r')
77
+
78
+ ends = np.asarray(r['meta/episode_ends'])
79
+ modes = np.asarray(r['meta/episode_modes']) # 0=LEFT, 1=RIGHT
80
+ covs = np.asarray(r['meta/episode_coverages'])
81
+ state = np.asarray(r['data/state'])
82
+ action = np.asarray(r['data/action'])
83
+
84
+ # Per-episode iteration
85
+ starts = np.concatenate([[0], ends[:-1]])
86
+ for s, e, m in zip(starts, ends, modes):
87
+ ep_state = state[s:e]
88
+ ep_action = action[s:e]
89
+ mode_name = 'LEFT' if m == 0 else 'RIGHT'
90
+ ...
91
+ ```
92
+
93
+ For fast pulls on a cluster, set `HF_HUB_ENABLE_HF_TRANSFER=1` and install `hf_transfer`.
94
+
95
+ ## Splitting into per-mode zarrs
96
+
97
+ If downstream code expects two single-mode zarr files
98
+ (`pusht_controlled_left.zarr` + `pusht_controlled_right.zarr`), the split is just a
99
+ filter on `meta/episode_modes`. The original DP collection guide's two-file format
100
+ can be reconstructed from this single mixed file at training time.
101
+
102
+ ## Collection spec
103
+
104
+ **Env**: `PushTKeypointsEnv` from `diffusion_policy.env.pusht.pusht_keypoints_env`,
105
+ render_size=96, control_hz=10.
106
+
107
+ **Per-episode init** (overrides env's random init via `env.reset_to_state`):
108
+
109
+ | Object | Position | Angle |
110
+ |--------|----------|-------|
111
+ | T block | fixed `(185, 327)` | fixed `π/4` |
112
+ | Goal | fixed `(256, 256)` (env default) | fixed `π/4` |
113
+ | Agent | `(327, 185) + uniform(-15, +15)` (seeded by episode index) | — |
114
+
115
+ **Success**: shapely-IoU between current T polygon and goal T polygon `>= 0.95`.
116
+ DP paper reports continuous max-coverage per episode (clipped at 0.95), not binary
117
+ success rate — so 95% is the env's done flag, not the eval metric.
118
+
119
+ ## Episode-length stats
120
+
121
+ Mean 80.6 steps (≈8.1 s @ 10 Hz), median 78, min 60, max 141.
122
+
123
+ ## Reproducing
124
+
125
+ See `demo_pusht.py`. Key changes from the stock DP script:
126
+
127
+ 1. Controlled init via `env.reset_to_state` (T fixed, agent perturbed ±15 px)
128
+ 2. Mode auto-assigned by seed parity, displayed in-window (red/blue overlay + IoU bar)
129
+ 3. Extra `meta/episode_modes` and `meta/episode_coverages` saved per episode
130
+ 4. `S` key to save partial demos before 95%, `C` key to cancel and restart same seed
131
+
132
+ ## License
133
+
134
+ MIT. Re-uses geometry / env from
135
+ [real-stanford/diffusion_policy](https://github.com/real-stanford/diffusion_policy).
demo_pusht.py ADDED
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1
+ import numpy as np
2
+ import click
3
+ import zarr
4
+ from diffusion_policy.common.replay_buffer import ReplayBuffer
5
+ from diffusion_policy.env.pusht.pusht_keypoints_env import PushTKeypointsEnv
6
+ import pygame
7
+
8
+ # --- Mixed-mode controlled collection ---
9
+ # Seed parity determines mode: even = LEFT, odd = RIGHT.
10
+ # After each saved episode, the integer mode (0=LEFT, 1=RIGHT) and the final
11
+ # coverage are appended to meta/episode_modes and meta/episode_coverages in
12
+ # the zarr, alongside the standard meta/episode_ends.
13
+ MODE_NAMES = {0: 'LEFT', 1: 'RIGHT'}
14
+ MODE_COLORS = {0: (220, 30, 30), 1: (30, 80, 220)} # red for LEFT, blue for RIGHT
15
+ SUCCESS_THRESHOLD = 0.95 # matches PushTEnv.success_threshold
16
+
17
+ _FONT_CACHE = {}
18
+
19
+
20
+ def _font(size, bold=False):
21
+ key = (size, bold)
22
+ if key not in _FONT_CACHE:
23
+ if not pygame.font.get_init():
24
+ pygame.font.init()
25
+ _FONT_CACHE[key] = pygame.font.SysFont(None, size, bold=bold)
26
+ return _FONT_CACHE[key]
27
+
28
+
29
+ def draw_overlay(mode_int, seed, coverage):
30
+ """Blit mode label + live coverage bar over the env render and flip."""
31
+ screen = pygame.display.get_surface()
32
+ if screen is None:
33
+ return
34
+ w = screen.get_width()
35
+ color = MODE_COLORS[mode_int]
36
+ name = MODE_NAMES[mode_int]
37
+ pad = 6
38
+
39
+ # Mode label: large text top-left with translucent backdrop
40
+ mode_font = _font(56, bold=True)
41
+ mode_surf = mode_font.render(name, True, color)
42
+ mode_rect = mode_surf.get_rect(topleft=(10, 6))
43
+ bg = pygame.Surface((mode_rect.width + pad * 2, mode_rect.height + pad * 2),
44
+ pygame.SRCALPHA)
45
+ bg.fill((255, 255, 255, 200))
46
+ screen.blit(bg, (mode_rect.x - pad, mode_rect.y - pad))
47
+ screen.blit(mode_surf, mode_rect)
48
+
49
+ # Seed number under the mode label
50
+ seed_font = _font(20)
51
+ seed_surf = seed_font.render(f'seed {seed}', True, (40, 40, 40))
52
+ seed_rect = seed_surf.get_rect(topleft=(10, mode_rect.bottom + 4))
53
+ sbg = pygame.Surface((seed_rect.width + pad * 2, seed_rect.height + pad),
54
+ pygame.SRCALPHA)
55
+ sbg.fill((255, 255, 255, 180))
56
+ screen.blit(sbg, (seed_rect.x - pad, seed_rect.y - pad // 2))
57
+ screen.blit(seed_surf, seed_rect)
58
+
59
+ # Coverage bar across the top-right: shows current IoU coverage out of 95%
60
+ bar_w = 200
61
+ bar_h = 18
62
+ bar_x = w - bar_w - 10
63
+ bar_y = 12
64
+ pygame.draw.rect(screen, (255, 255, 255), (bar_x, bar_y, bar_w, bar_h))
65
+ pygame.draw.rect(screen, (60, 60, 60), (bar_x, bar_y, bar_w, bar_h), 1)
66
+ cov_frac = float(min(coverage, SUCCESS_THRESHOLD)) / SUCCESS_THRESHOLD
67
+ fill_w = int(bar_w * cov_frac)
68
+ if cov_frac < 0.6:
69
+ bar_color = (180, 40, 40)
70
+ elif cov_frac < 0.9:
71
+ bar_color = (200, 150, 30)
72
+ else:
73
+ bar_color = (40, 170, 60)
74
+ pygame.draw.rect(screen, bar_color, (bar_x, bar_y, fill_w, bar_h))
75
+
76
+ cov_pct = coverage * 100.0
77
+ cov_font = _font(18, bold=True)
78
+ cov_surf = cov_font.render(f'IoU {cov_pct:5.1f}% / 95%', True, (20, 20, 20))
79
+ cov_rect = cov_surf.get_rect(topright=(w - 10, bar_y + bar_h + 4))
80
+ cbg = pygame.Surface((cov_rect.width + pad * 2, cov_rect.height + pad),
81
+ pygame.SRCALPHA)
82
+ cbg.fill((255, 255, 255, 200))
83
+ screen.blit(cbg, (cov_rect.x - pad, cov_rect.y - pad // 2))
84
+ screen.blit(cov_surf, cov_rect)
85
+
86
+ # Keybinding hint at the bottom
87
+ hint_font = _font(16)
88
+ hint_surf = hint_font.render('S save C cancel R retry Q quit',
89
+ True, (30, 30, 30))
90
+ hint_rect = hint_surf.get_rect(midbottom=(w // 2, screen.get_height() - 4))
91
+ hbg = pygame.Surface((hint_rect.width + pad * 2, hint_rect.height + pad),
92
+ pygame.SRCALPHA)
93
+ hbg.fill((255, 255, 255, 200))
94
+ screen.blit(hbg, (hint_rect.x - pad, hint_rect.y - pad // 2))
95
+ screen.blit(hint_surf, hint_rect)
96
+
97
+ pygame.display.flip()
98
+
99
+
100
+ def append_episode_metadata(zarr_path, mode_int, coverage):
101
+ """Append (mode, coverage) to meta/episode_modes and meta/episode_coverages."""
102
+ root = zarr.open(zarr_path, mode='a')
103
+ meta = root.require_group('meta')
104
+ if 'episode_modes' in meta:
105
+ arr = meta['episode_modes']
106
+ arr.resize((arr.shape[0] + 1,))
107
+ arr[-1] = mode_int
108
+ else:
109
+ meta.create_dataset(
110
+ 'episode_modes',
111
+ data=np.array([mode_int], dtype='i1'),
112
+ chunks=(64,), dtype='i1',
113
+ )
114
+ if 'episode_coverages' in meta:
115
+ arr = meta['episode_coverages']
116
+ arr.resize((arr.shape[0] + 1,))
117
+ arr[-1] = float(coverage)
118
+ else:
119
+ meta.create_dataset(
120
+ 'episode_coverages',
121
+ data=np.array([coverage], dtype='f4'),
122
+ chunks=(64,), dtype='f4',
123
+ )
124
+
125
+
126
+ @click.command()
127
+ @click.option('-o', '--output', required=True)
128
+ @click.option('-rs', '--render_size', default=96, type=int)
129
+ @click.option('-hz', '--control_hz', default=10, type=int)
130
+ def main(output, render_size, control_hz):
131
+ """
132
+ Mixed-mode Push-T teleop with controlled init.
133
+
134
+ Mode auto-assigned by seed parity:
135
+ seed even = LEFT (wrap T from upper-left side, red label)
136
+ seed odd = RIGHT (wrap T from lower-right side, blue label)
137
+
138
+ Saved per episode in the zarr:
139
+ data/{state,action,img,keypoint,n_contacts}
140
+ meta/episode_ends (standard DP layout)
141
+ meta/episode_modes (int8: 0=LEFT, 1=RIGHT)
142
+ meta/episode_coverages (float32: final IoU coverage, 0..1)
143
+
144
+ Keys:
145
+ S = save current episode now (no need to reach 95% IoU)
146
+ C = cancel current episode and restart same seed
147
+ R = same as C (retry)
148
+ Q = quit (script exits; saved episodes persist)
149
+ Space = pause
150
+ """
151
+ replay_buffer = ReplayBuffer.create_from_path(output, mode='a')
152
+
153
+ kp_kwargs = PushTKeypointsEnv.genenerate_keypoint_manager_params()
154
+ env = PushTKeypointsEnv(render_size=render_size, render_action=False, **kp_kwargs)
155
+ agent = env.teleop_agent()
156
+ clock = pygame.time.Clock()
157
+
158
+ while True:
159
+ episode = list()
160
+ seed = replay_buffer.n_episodes
161
+ mode_int = seed % 2
162
+ mode_name = MODE_NAMES[mode_int]
163
+ print(f'starting seed {seed} mode={mode_name}', flush=True)
164
+
165
+ # --- Controlled init: T fixed on 45-deg symmetry axis through goal,
166
+ # agent perturbed +/- 15 px around (327, 185).
167
+ T_INIT_XY = np.array([185.0, 327.0])
168
+ T_INIT_ANG = np.pi / 4
169
+ AGENT_NOMINAL = np.array([327.0, 185.0])
170
+
171
+ np.random.seed(seed)
172
+ agent_xy = AGENT_NOMINAL + np.random.uniform(-15, 15, size=2)
173
+ init_state = np.array(
174
+ [agent_xy[0], agent_xy[1], T_INIT_XY[0], T_INIT_XY[1], T_INIT_ANG],
175
+ dtype=np.float64,
176
+ )
177
+ env.reset_to_state = init_state
178
+ env.seed(seed)
179
+ # --- end controlled init
180
+
181
+ obs = env.reset()
182
+ info = env._get_info()
183
+ img = env.render(mode='human')
184
+
185
+ retry = False
186
+ force_save = False
187
+ pause = False
188
+ done = False
189
+ coverage = 0.0
190
+ pygame.display.set_caption(
191
+ f'[{mode_name}] seed {seed} IoU {coverage*100:.1f}% / 95%')
192
+ draw_overlay(mode_int, seed, coverage)
193
+
194
+ while not (done or force_save or retry):
195
+ for event in pygame.event.get():
196
+ if event.type == pygame.KEYDOWN:
197
+ if event.key == pygame.K_SPACE:
198
+ pause = True
199
+ elif event.key in (pygame.K_r, pygame.K_c):
200
+ retry = True
201
+ elif event.key == pygame.K_s:
202
+ force_save = True
203
+ elif event.key == pygame.K_q:
204
+ exit(0)
205
+ if event.type == pygame.KEYUP:
206
+ if event.key == pygame.K_SPACE:
207
+ pause = False
208
+
209
+ if retry or force_save:
210
+ break
211
+ if pause:
212
+ continue
213
+
214
+ act = agent.act(obs)
215
+ if act is not None:
216
+ state = np.concatenate([info['pos_agent'], info['block_pose']])
217
+ keypoint = obs.reshape(2, -1)[0].reshape(-1, 2)[:9]
218
+ data = {
219
+ 'img': img,
220
+ 'state': np.float32(state),
221
+ 'keypoint': np.float32(keypoint),
222
+ 'action': np.float32(act),
223
+ 'n_contacts': np.float32([info['n_contacts']]),
224
+ }
225
+ episode.append(data)
226
+
227
+ obs, reward, done, info = env.step(act)
228
+ # reward = clip(coverage / 0.95, 0, 1) per PushTEnv.step
229
+ coverage = float(reward) * SUCCESS_THRESHOLD
230
+ img = env.render(mode='human')
231
+ pygame.display.set_caption(
232
+ f'[{mode_name}] seed {seed} IoU {coverage*100:.1f}% / 95%')
233
+ draw_overlay(mode_int, seed, coverage)
234
+
235
+ clock.tick(control_hz)
236
+
237
+ if retry:
238
+ print(f'cancel seed {seed} mode={mode_name}', flush=True)
239
+ continue
240
+
241
+ if not episode:
242
+ print(f'skip seed {seed} (no teleop data — mouse never engaged)',
243
+ flush=True)
244
+ continue
245
+
246
+ data_dict = dict()
247
+ for key in episode[0].keys():
248
+ data_dict[key] = np.stack([x[key] for x in episode])
249
+ replay_buffer.add_episode(data_dict, compressors='disk')
250
+ append_episode_metadata(output, mode_int, coverage)
251
+ suffix = ' [PARTIAL]' if force_save and not done else ''
252
+ print(f'saved seed {seed} mode={mode_name} '
253
+ f'IoU={coverage*100:.1f}%{suffix} '
254
+ f'(total {replay_buffer.n_episodes} episodes)', flush=True)
255
+
256
+
257
+ if __name__ == "__main__":
258
+ main()
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