Minor fixes in README
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README.md
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README.md
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@ -15,11 +15,11 @@ Prerequisites:
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You can use the `Dockerfile` provided to build the environment then enter the environment using `nvidia-docker run --rm -it -v HOST_FOLDER:/share DOCKER_IMAGE bash`.
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To train the model, just run `python start_train.py`. Default configuration can be found at `config.yml`. You need to prepare video dataset you plan to train/evaluate on. You may get the benchmark dataset videos from respective authors. For each dataset, put the training videos into `VIDEO_ROOT_PATH/DATASET_NAME/training_videos` and testing videos into `VIDEO_ROOT_PATH/DATASET_NAME/testing_videos`. Example structure of training videos for `avenue` dataset:
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`VIDEO_ROOT_PATH/avenue/training_videos`
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- `01.avi`
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- `02.avi`
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- ...
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- `16.avi`
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- `VIDEO_ROOT_PATH/avenue/training_videos`
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- `01.avi`
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- `02.avi`
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- ...
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- `16.avi`
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Once you have trained the model, you may now run `python start_test.py` after setting the parameters at the beginning of the file.
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