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Lorenzo 2021-01-07 16:31:03 +01:00
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@ -57,5 +57,5 @@ or check the file `monstereo/run.py`
Further instructions for prediction, preprocessing, training and evaluation can be found here: Further instructions for prediction, preprocessing, training and evaluation can be found here:
* [MonoLoco++README](https://github.com/vita-epfl/monstereo/blob/master/docs/MonoLoco%2B%2B.md) * [MonoLoco++ README](https://github.com/vita-epfl/monstereo/blob/master/docs/MonoLoco%2B%2B.md)
* [MonStereo README](https://github.com/vita-epfl/monstereo/blob/master/docs/MonStereo.md) * [MonStereo README](https://github.com/vita-epfl/monstereo/blob/master/docs/MonStereo.md)

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@ -138,7 +138,7 @@ We provide evaluation on KITTI in the eval section. Txt files for MonStereo are
`python -m monstereo.run eval --dir_ann <directory of pifpaf annotations> --model data/models/ms-200710-1511.pkl --generate` `python -m monstereo.run eval --dir_ann <directory of pifpaf annotations> --model data/models/ms-200710-1511.pkl --generate`
<img src="quantitative_mono.png" width="500"/> <img src="quantitative_mono.png" width="600"/>
### Relative Average Precision Localization (RALP-5%) ### Relative Average Precision Localization (RALP-5%)
We modified the original C++ evaluation of KITTI to make it relative to distance. We use **cmake**. We modified the original C++ evaluation of KITTI to make it relative to distance. We use **cmake**.

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@ -200,10 +200,10 @@ python -m monstereo.run eval
To include also geometric baselines and MonoLoco, add the flag ``--baselines`` To include also geometric baselines and MonoLoco, add the flag ``--baselines``
<img src="quantitative_mono.png" width="500"/> <img src="quantitative_mono.png" width="550"/>
Adding the argument `save`, a few plots will be added including 3D localization error as a function of distance: Adding the argument `save`, a few plots will be added including 3D localization error as a function of distance:
<img src="results.png" width="500"/> <img src="results.png" width="600"/>
### Activity Estimation (Talking) ### Activity Estimation (Talking)
Please follow preprocessing steps for Collective activity dataset and run pifpaf over the dataset images. Please follow preprocessing steps for Collective activity dataset and run pifpaf over the dataset images.