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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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+
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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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