-
data
Datasets and all data-related stuff is here (could be symbolic link to the real data location)
-
experiments
Folder contains
- [cfgs] param (config) files for experiments;
- [logs] all intermediate results from different experiments (param files, checkpoints, logs, ...);
- [scripts] scripts to run specific experiments;
-
notebooks
Place for jupyter notebooks. Notebooks could contain some analysis (dataset analysis, evalution results), demo, some ongoing work
-
material
Data, which include additional images, results, model weights, ...
- [results] useful results are stored here;
- [images] images for demo, readme, ...;
- [weights] weights of the models (e.g. pretrained backbones )
-
src
Codebase.
Tested with
- python 3.6
- pytorch 1.2, torchvision 0.4
- tensorboard from (tf-nightly-2.0-preview)
- load the data
(penn_fudan) go to the folder 'data' and run [YOU NEED ~ 300 MB]
./penn_fudan.sh
- 'demo' (output will be stored in
$ROOT$ /materials/images)
python demo.py
- 'train'
run inside folder
python train.py --param_file ../experiments/cfgs/penn_train.yaml
- 'test'
python test.py --param_file ../experiments/cfgs/penn_test.yaml