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clean up readme
CI
#35:
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clean up docs
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#34:
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replace flake8 with ruff
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#33:
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Update README.md
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#32:
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include perturbations in video saver
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#31:
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fix tokenizer import when command changes
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#30:
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support arbitrary text commands to tracker
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#29:
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limit subscription queue to 1 for vla node processing camera
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#28:
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use cuda with vla inference on workstatoin
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#27:
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cleanup
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add support for running inference on separate machine from robot
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#25:
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Add mild face pose randomization in sim
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#24:
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add VLA_DEADBAND env var
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add deadband param
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#22:
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catch I2C OSError in servo_node to survive transient bus glitches
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#21:
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default to VLA on robot; add USE_HAAR opt-in for Haar cascade
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#20:
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investigate cause of error rate
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#19:
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use active.onnx when running
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#18:
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support changing vla model for bot
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#17:
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add onnx file
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#16:
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new model trained only on single-face scenarios
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#15:
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add resume param to train script
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add --label_keys filter to dataset and training CLI
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add tk ticket CLI note to AGENTS.md
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phase 4 step 1: deploy VLA model to Pi 5
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