Utility to create image datasets from feed of webcam or Video file
Project description
saveimg
Command line utility to create image datasets from webcam feed or from Video files.
Installation
-
Install from pip using
pip install mkdataset -
Clone the repo and install using
python setup.py install
Usage:
(save) D:\venvs\saveimg>saveimg
Usage: saveimg [OPTIONS] NAME
Try "saveimg --help" for help.
Error: Missing argument "NAME".
(save) D:\venvs\saveimg>saveimg --help
Usage: saveimg [OPTIONS] NAME
Capture frame from video feed at set intervals and save them as an
organized dataset with images in training, test and validation folders
Currently supports only for one class name
Options:
-d, --directory PATH Directory where images has to be saved,
expects path not string
-v, --video FILENAME Video file to parse, default is webCam feed
-s, --fps INTEGER Capture rate in seconds per Frame
-p, --distribution <FLOAT FLOAT FLOAT>...
Distribution of train, test and valid images
to be saved
-c, --cont BOOLEAN If train, test and validation images should
have continuity in naming
-r, --reverse BOOLEAN If train, test and validation should be
inside class folder unlike class folder
inside these
--help Show this message and exit.
(save) D:\venvs\saveimg>
(save) D:\venvs\saveimg>saveimg test_class
---------------------------------------------------------------------------------
Directory is D:\venvs\saveimg
Saving image every 1 seconds
Saving train, test and validation in ratio of (0.6, 0.2, 0.2)
Reading video feed from Webcam
---------------------------------------------------------------------------------
Please enter to proceed : [True]: n
(save) D:\venvs\saveimg>saveimg test_class
---------------------------------------------------------------------------------
Directory is D:\venvs\saveimg
Saving image every 1 seconds
Saving train, test and validation in ratio of (0.6, 0.2, 0.2)
Reading video feed from Webcam
---------------------------------------------------------------------------------
Please enter to proceed : [True]: y
Saved D:\venvs\saveimg\train\test_class\test_class_1.jpg
---------
Saved D:\venvs\saveimg\train\test_class\test_class_2.jpg
---------
Saved D:\venvs\saveimg\train\test_class\test_class_3.jpg
---------
Saved D:\venvs\saveimg\validation\test_class\test_class_1.jpg
---------
Saved D:\venvs\saveimg\train\test_class\test_class_4.jpg
---------
Saved D:\venvs\saveimg\train\test_class\test_class_5.jpg
---------
Saved D:\venvs\saveimg\train\test_class\test_class_6.jpg
---------
Saved D:\venvs\saveimg\validation\test_class\test_class_2.jpg
---------
Saved D:\venvs\saveimg\train\test_class\test_class_7.jpg
Aborted!
[ WARN:0] global C:\projects\opencv-python\opencv\modules\videoio\src\cap_msmf.cpp (674) SourceReaderCB::~SourceReaderCB terminating async callback
(save) D:\venvs\saveimg>
(save) D:\venvs\saveimg>saveimg -d D:\venvs -p 0.7 0.15 0.15 label1
---------------------------------------------------------------------------------
Directory is D:\venvs
Saving image every 1 seconds
Saving train, test and validation in ratio of (0.7, 0.15, 0.15)
Reading video feed from Webcam
---------------------------------------------------------------------------------
Please enter to proceed : [True]: n
Notice that image numbers are continuous
(save) D:\venvs\saveimg>saveimg -d D:\venvs -p 0.4 0.3 0.3 -c y label
---------------------------------------------------------------------------------
Directory is D:\venvs
Saving image every 1 seconds
Saving train, test and validation in ratio of (0.4, 0.3, 0.3)
Reading video feed from Webcam
---------------------------------------------------------------------------------
Please enter to proceed : [True]:
Saved D:\venvs\train\label\label_0.jpg
---------
Saved D:\venvs\train\label\label_1.jpg
---------
Saved D:\venvs\train\label\label_2.jpg
---------
Saved D:\venvs\train\label\label_3.jpg
---------
Saved D:\venvs\test\label\label_4.jpg
---------
Saved D:\venvs\train\label\label_5.jpg
---------
Saved D:\venvs\validation\label\label_6.jpg
---------
Saved D:\venvs\train\label\label_7.jpg
---------
Saved D:\venvs\test\label\label_8.jpg
---------
Saved D:\venvs\train\label\label_9.jpg
---------
Saved D:\venvs\train\label\label_10.jpg
---------
Saved D:\venvs\validation\label\label_11.jpg
---------
Saved D:\venvs\test\label\label_12.jpg
---------
Saved D:\venvs\validation\label\label_13.jpg
Aborted!
[ WARN:0] global C:\projects\opencv-python\opencv\modules\videoio\src\cap_msmf.cpp (674) SourceReaderCB::~SourceReaderCB terminating async callback
(save) D:\venvs\saveimg>
Train, test and validation inside image_label folder
(save) D:\venvs\saveimg>saveimg -d D:\venvs -p 0.4 0.3 0.3 -r y image_label
---------------------------------------------------------------------------------
Directory is D:\venvs
Saving image every 1 seconds
Saving train, test and validation in ratio of (0.4, 0.3, 0.3)
Reading video feed from Webcam
---------------------------------------------------------------------------------
Please enter to proceed : [True]:
Saved D:\venvs\image_label\validation\image_label_1.jpg
---------
Saved D:\venvs\image_label\train\image_label_1.jpg
---------
Saved D:\venvs\image_label\validation\image_label_2.jpg
---------
Saved D:\venvs\image_label\validation\image_label_3.jpg
---------
Saved D:\venvs\image_label\test\image_label_1.jpg
---------
Saved D:\venvs\image_label\test\image_label_2.jpg
---------
Saved D:\venvs\image_label\validation\image_label_4.jpg
Aborted!
[ WARN:0] global C:\projects\opencv-python\opencv\modules\videoio\src\cap_msmf.cpp (674) SourceReaderCB::~SourceReaderCB terminating async callback
(save) D:\venvs\saveimg>
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| Filename, size | File type | Python version | Upload date | Hashes |
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| Filename, size mkdataset-0.1-py3-none-any.whl (5.4 kB) | File type Wheel | Python version py3 | Upload date | Hashes View hashes |
| Filename, size mkdataset-0.1.tar.gz (4.6 kB) | File type Source | Python version None | Upload date | Hashes View hashes |
