Skip to content

LeadingIndiaAI/Surveillance-of-Identifying-Vehicles-Parked-In-No-Parking

master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 

Parking-Classification

Requirements-

python3

opencv3

keras

numpy

tqdm

Options-

Options of 3dcnn.ipynb are as following:

--batch: batch size, default is 128.

--epoch: the number of epochs, default is 100.

--videos: a name of directory where dataset is stored, default is UCF101.

--nclass: the number of classes you want to use, default is 101.

--output: a directory where the results described above will be saved.

--color: use RGB image or grayscale image, default is False.

--skip: get frames at interval or contenuously, default is True.

--depth: the number of frames to use, default is 10.

To train the model, change the dataset path and output path in 3DCNN.ipynb file and run it.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published