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ADD: better instructions for evaluation running
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eval/readme.md

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# TSlam evaluation
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## TODO:
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- add `scripts/compute_model_metrics.py` to `batch_sequence.sh`
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- add `scripts/compute_summary.py` to `batch_dataset.sh`
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- replace all the `refined_stream.csv` with the new interpolation
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- the data format is changed, check if there is something using it other than `io_stream.py`
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- check if the 30 frames shift is still needed (probably not)
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- modify `optitrack/capture.py` to replace the refinement with the new function
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This folder contains all the necessary files and scripts to reproduce the evaluation of the
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## How to Run
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### Before you start
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Install the python dependencies in Anaconda and run it from there (see `environment.yml`).
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## Run
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### Results for the entire dataset
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a) it will erase the `dataset/` folder everytime and redownload the dataset.
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b) The output can be found in `results/`.
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B --> C(script/compute_poses.py)
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B --> D(script/compute_slam_metrics.py)
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B --> F(script/compute_model_metrics.py)
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```
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```

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