forked from tangger/lerobot
Extend reward classifier for multiple camera views (#626)
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@@ -4,7 +4,7 @@ defaults:
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- _self_
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seed: 13
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dataset_repo_id: "dataset_repo_id"
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dataset_repo_id: aractingi/pick_place_lego_cube_1
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train_split_proportion: 0.8
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# Required by logger
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@@ -24,7 +24,7 @@ training:
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eval_freq: 1 # How often to run validation (in epochs)
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save_freq: 1 # How often to save checkpoints (in epochs)
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save_checkpoint: true
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image_key: "observation.images.phone"
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image_keys: ["observation.images.top", "observation.images.wrist"]
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label_key: "next.reward"
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eval:
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@@ -32,9 +32,10 @@ eval:
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num_samples_to_log: 30 # Number of validation samples to log in the table
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policy:
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name: "hilserl/classifier"
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name: "hilserl/classifier/pick_place_lego_cube_1"
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model_name: "facebook/convnext-base-224"
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model_type: "cnn"
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num_cameras: 2 # Has to be len(training.image_keys)
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wandb:
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enable: false
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@@ -44,4 +45,4 @@ wandb:
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device: "mps"
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resume: false
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output_dir: "output"
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output_dir: "outputs/classifier"
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