Skip to content

Ship Detection using Deep Learning and Machine Learning techniques

Notifications You must be signed in to change notification settings

rodrigorusa/ShipDetection

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 
 
 

Repository files navigation

ShipDetection

Ship Detection using Deep Learning and Machine Learning techniques

Generate input

Images 64x64 RGB

To generate a subset of complete dataset run:

python3 generate_input.py -csv_file <train_csv_original> -images <train_images_folder> -fraction <factor_of_samples>

DCT of images 128x128 (1 channel)

To generate a subset of complete dataset run:

python3 generate_input_dct.py -csv_file <train_csv_original> -images <train_images_folder> -fraction <factor_of_samples>

Training model

To train and validate your model run:

python3 main.py -train_csv <csv_generated> [-model_file <pre_trained_model>]

The model_file is optional, if you pass the model the script will validate only. Otherwise the script will train the model and validate.

About

Ship Detection using Deep Learning and Machine Learning techniques

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages