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Welcome to the nsvision wiki!

While working on image processing for various work which included data analysis, machine learning / deep learning and deployment. One of the major challenges we faced were image pre-processing for models. Initially we started with opencv. We used many of its functions like cv2.imread() , cv2.imshow(). It worked average for videostreaming as image was unprocessed,somehow cv2 failed on image classification models. We started using PIL for image classification, but still there was image pre-processing and post-processing issue. So finally we decided to create a wrapup library which will solve image processing issue for those who are working on machine learning model. You can find all the documentation related to this repository at xyz_link.com.

Apart from working on image and video, we have also included some basic scripts which can be handy for anyone working on data. One of the script is split_data which is so simple to use, just run the command on terminal and submit data folder and split ratio, that's it, you will get splitted data quickly. Like split_data there are many more useful scipts which does not require coding just commandline instructions. You can find more about them at documentation page.