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README.md
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- tactile sensing
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- robotic manipulation
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- gelsight
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---
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GelSight Young's Modulus Dataset
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Each object is grasped a number of times, and each of these grasps is downsampled to 3 frames and shifted to create different data augmentations of the same grasp.
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In the OBJECT_NAME folder, metadata for each object is provided in a .json file, including the object's shape, material,
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object_metadata = {
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'object_name' : None,
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'youngs_modulus' : None,
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'material' : None,
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'shape' : None,
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'shore_00_hardness' : None,
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'shore_A_hardness' : None,
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'shore_D_hardness' : None,
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'used_in_training' : False
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}
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In the AUGMENTATION_NUMBER folder, data is provided in .pkl files. You will find the following named conventions...
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- Tactile RGB images (without markers): _diff.pkl
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- tactile sensing
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- robotic manipulation
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- gelsight
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- shore
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- shape
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- material
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---
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GelSight Young's Modulus Dataset
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Each object is grasped a number of times, and each of these grasps is downsampled to 3 frames and shifted to create different data augmentations of the same grasp.
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In the OBJECT_NAME folder, metadata for each object is provided in a .json file, including the object's shape, material, Young's modulus, and Shore hardness.
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In the AUGMENTATION_NUMBER folder, data is provided in .pkl files. You will find the following named conventions...
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- Tactile RGB images (without markers): _diff.pkl
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