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Run Demo on Custom Data

In this tutorial we introduce the demo of OnePose running with data captured with our OnePose Cap application available for iOS device. The app is still under preparing for release. However, you can try it with the example demo data and skip the first step.

Step 1: Capture the mapping sequence and the test sequence with OnePose Cap.

The app is under brewing🍺 coming soon.

Step 2: Organize the file structure of collected sequences

  1. Download the captured mapping sequence and the test sequence to the PC by the provided url in app.
  2. Rename the annotate and test sequences directories to your_obj_name-annotate and your_obj_name-test respectively and organize the data as the follow structure: 
    |--- /your/path/to/scanned_data
|       |--- your_obj_name
|       |       |---your_obj_name-annotate
|       |       |---your_obj_name-test
    Refer to the demo data as an example.
  3. Link the collected data to the project directory 
    REPO_ROOT=/path/to/OnePose
ln -s /path/to/scanned_data $REPO_ROOT/data/demo

Now the data is prepared!

Step 3: Run OnePose with collected data

Execute the following commands, and a demo video naming demo_video.mp4 will be saved in the folder of the test sequence.

REPO_ROOT=/path/to/OnePose
OBJ_NAME=your_obj_name

cd $REPO_ROOT
conda activate oneposeplus

bash scripts/demo_pipeline.sh $OBJ_NAME