Download example/Visualize_Exp_Data.py from JiaoyangL/OpenRIF: direct link, hf CLI and curl.
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https://huggingface.co/datasets/JiaoyangL/OpenRIF/resolve/main/example/Visualize_Exp_Data.py
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hf download hf://datasets/JiaoyangL/OpenRIF/example/Visualize_Exp_Data.py
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curl -L -o Visualize_Exp_Data.py https://huggingface.co/datasets/JiaoyangL/OpenRIF/resolve/main/example/Visualize_Exp_Data.py
793 Bytes
| import os | |
| from scipy.io import loadmat | |
| # TODO Data folder path and object name | |
| # folder_path = "data/Experiment/Torch/Data/Flower Pillow" | |
| folder_path = "data/Experiment/Pick & Place/Data" | |
| object_name = "Book" | |
| idx = ["A"] | |
| for i in idx: | |
| file_rob_name = f"{object_name}_Robot_{i}.mat" | |
| file_sen_name = f"{object_name}_Sensor_{i}.mat" | |
| file_tim_name = f"{object_name}_Task_Time_{i}.mat" | |
| for file_name in [file_rob_name, file_sen_name, file_tim_name]: | |
| file_path = f"{folder_path}/{file_name}" | |
| data = loadmat(file_path) | |
| print(f"\n===== {file_name} =====") | |
| for key, value in data.items(): | |
| if not key.startswith("__"): | |
| print(f"{key}: shape={value.shape}, dtype={value.dtype}") |