Spaces:
Sleeping
Sleeping
Emil Ernerfeldt
commited on
Commit
·
2959351
1
Parent(s):
b8bd752
Log more parts of the dataframe
Browse files
main.py
CHANGED
@@ -6,16 +6,28 @@ import rerun as rr
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from datasets import load_dataset
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# download/load dataset in pyarrow format
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dataset = load_dataset("lerobot/pusht", split="train")
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# select the frames belonging to episode number 5
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ds_subset = dataset.filter(lambda frame: frame["episode_id"] == 5)
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frames = ds_subset["observation.image"]
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rr.init("rerun_example_lerobot", spawn=True)
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from datasets import load_dataset
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# download/load dataset in pyarrow format
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print("Loading dataset…")
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dataset = load_dataset("lerobot/pusht", split="train")
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# select the frames belonging to episode number 5
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print("Select specific episode…")
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ds_subset = dataset.filter(lambda frame: frame["episode_id"] == 5)
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print("Starting Rerun…")
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rr.init("rerun_example_lerobot", spawn=True)
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print("Logging to Rerun…")
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for frame_id, timestamp, image, state, action, next_reward in zip(
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ds_subset["frame_id"],
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ds_subset["timestamp"],
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ds_subset["observation.image"],
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ds_subset["observation.state"],
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ds_subset["action"],
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ds_subset["next.reward"],
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):
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rr.set_time_sequence("frame_id", frame_id)
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rr.set_time_seconds("timestamp", timestamp)
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rr.log("observation/image", rr.Image(image))
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rr.log("observation/state", rr.BarChart(state))
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rr.log("observation/action", rr.BarChart(action))
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rr.log("next/reward", rr.Scalar(next_reward))
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