- Alba María Herrera Palacio
- Jorge López Fueyo
- Nilai Sallent Ruiz
- Marc Núñez Ubach
To run this code you will need at least:
- Python 3.5
Instead of installing all the dependencies to the global python installation,
it is recommended to use a virtual environment.
pip3 install virtualenv # if not installed already
python3 -v venv ./venv
source venv/bin/activate # activate the environment
deactivate # deactivate the environment
pip3 install -r requirements.txt
git clone https://github.com/pathak22/pyflow.git
cd pyflow/
python setup.py install
cd ..
rm -rf pyflow
NOTE: remember to activate the environment before the install
If you get any problem compiling in windows, go to file pyflow/src/project.h and comment line 9:
// #define _LINUX_MACusage: main.py [-h] [-d] [-e EPOCHS]
{fine_tune_yolo,off_the_shelf_yolo,off_the_shelf_ssd,siamese_train}
[{siamese,overlap,kalman}]
Search the picture passed in a picture database.
positional arguments:
{fine_tune_yolo,off_the_shelf_yolo,off_the_shelf_ssd,siamese_train}
Method to use
{siamese,overlap,kalman}
Tracking method to use
optional arguments:
-h, --help show this help message and exit
-d, --debug Show debug plots
-e EPOCHS, --epochs EPOCHS
Number of train epochs
usage: main.py [-h] [--debug]
{w2_adaptive,w2_nonadaptive,w2_soa,w2_nonadaptive_hsv,w2_adaptive_hsv,w2_soa_mod}
Search the picture passed in a picture database.
positional arguments:
{w2_adaptive,w2_nonadaptive,w2_soa,w2_nonadaptive_hsv,w2_adaptive_hsv,w2_soa_mod}
Method to use
optional arguments:
-h, --help show this help message and exit
--debug Show debug plots
.
├── config # configuration files used by neural networks
├── datasets # datasets provided by the teachers
├── requirements.txt # python dependencies
├── src # Code for the third week
├── w1_w2 # Code for the first two weeks
└── weights # Weights for different neural networks