mithun22075

inpainting-detection

Research UNet СNN architecture for inpainting detection

deepimageinpainting

Deep Image Inpainting using UNET like Vanilla Autoencoder and Partial Convolution based Autoencoder.

Image-Inpainting-Using-Partial-Convolution

In this project, we implement image inpainting using partial convolution.

inpainting_with_partial_conv

pytorch-inpainting-with-partial-conv

Unofficial pytorch implementation of 'Image Inpainting for Irregular Holes Using Partial Convolutions' [Liu+, ECCV2018]

pytorch-inpainting-partial-conv

A PyTorch implementation of the "Image Inpainting for Irregular Holes Using Partial Convolutions" paper from Liu et al at NVIDIA

inpainting-partial-conv

PyTorch implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions"

face-detection

This app is used to detect faces and recognize them with the help of train data which will be done by running training.py file first and second face_recognition.py. If you want to mark attendance press m and press q for exit. Documentation is done in Computer Vision Project.pdf

Deep-Expectation-of-Apparent-Age-from-a-Single-Image-Organization-of-Computer-vision-challenge-

The purpose of our project was to organize a challenge which uses features extracted from images with human faces, in order to classify the person’s age group in the picture as adult or minor. The WIKI database was used, as well as the CNN provided along with it, in order to extract the features. Participants of our challenge are provided with train and validation datasets and they are required to find the best approach in order to classify an image in one of the two categories. The adult/minor classification has important applications in various domains. In this report, we describe in more details the set up of the challenge and present some approaches for tackling the problem.

Computer-Vision-Projects

The Contents of this Repository Hold My Projects and Reports Related to Computer Vision and Image Processing with OpenCV