prabhuiitdhn

Argoverse2.0-Data

This is for argoverse data understanding. Motion forecasting data is being explored.

awesome-deep-learning

This repositories includes content of Deep Learning which includes books, courses, videos, lectures and more. This could be useful for Deep learning beginners as well as intermediate-experienced in Deep learning.

Computer-visions-in-OpenCV

The most common concepts of computer vision has been implemented in python. The code/concepts has been followed from PyImageSearch tutorials.

CPlusPlus-Practice

In this repository I have implemented C++ code for all basics level to intermediate level of c++concepts, also commented the concepts for better understanding.

Emotion-detection-VGGnet-architecture-fer2013

I have used haarcascade.xml and deep learning techniques to detect the emotion of person. Trained in keras framework using fer2013 dataset. I have delivered the model with almost 95.0% of accuracy. Credit: PyImageSearch

face-landmarks-and-alignment

Step by step guide to install dlib in linux. Implemented in python which includes dlib, opencv library that detects the facial landmarks and alignment of faces in any images; the predictor trained on Helen data-set..

Fog-Image-Creation

This project is about adding fog/Haze effects in the image.

Image-orientation-correction-using-CVPR-dataset

Using transfer learning techniques, I have trained the model that can check image orientation and If images are not in right orientation that images can be converted in right orientation in inference.

MLFlowBasics

tensorflow-on-raspberry-pi

I have forked this repository for the purpose of training tensorflow model in raspberry-pi. Used this to deliver emotion detection project in raspberry pi with 20 FPS.

prabhuiitdhn/Emotion-detection-VGGnet-architecture-fer2013

I have used haarcascade.xml and deep learning techniques to detect the emotion of person. Trained in keras framework using fer2013 dataset. I have delivered the model with almost 95.0% of accuracy. Credit: PyImageSearch

prabhuiitdhn/Argoverse2.0-Data

This is for argoverse data understanding. Motion forecasting data is being explored.

prabhuiitdhn/Image-orientation-correction-using-CVPR-dataset

Using transfer learning techniques, I have trained the model that can check image orientation and If images are not in right orientation that images can be converted in right orientation in inference.

prabhuiitdhn/awesome-deep-learning

This repositories includes content of Deep Learning which includes books, courses, videos, lectures and more. This could be useful for Deep learning beginners as well as intermediate-experienced in Deep learning.

prabhuiitdhn/face-landmarks-and-alignment

Step by step guide to install dlib in linux. Implemented in python which includes dlib, opencv library that detects the facial landmarks and alignment of faces in any images; the predictor trained on Helen data-set..

prabhuiitdhn/Fog-Image-Creation

This project is about adding fog/Haze effects in the image.

prabhuiitdhn/Computer-visions-in-OpenCV

The most common concepts of computer vision has been implemented in python. The code/concepts has been followed from PyImageSearch tutorials.

prabhuiitdhn/CPlusPlus-Practice

In this repository I have implemented C++ code for all basics level to intermediate level of c++concepts, also commented the concepts for better understanding.

prabhuiitdhn/MLFlowBasics

prabhuiitdhn/Adding-WaterDroplets-to-image

Generating water droplets in real-time images using Computer Vision.

prabhuiitdhn/Age-gender-prediction

Using deep-learning pre-trained model, trying to predict the age and gender with the better performance

prabhuiitdhn/Augmentor

Image augmentation library in Python for machine learning.

prabhuiitdhn/caffemodel_dataprocessing

How to convert images with different labes in train.txt and val.txt file for creating the caffemodel

prabhuiitdhn/CI-CD-Githubactions

prabhuiitdhn/data-augmentation

prabhuiitdhn/Data-aumentation-of-images-folder-using-keras-and-PIL

We're creating the data augmentation for further process of training and testing in model for better accuracy.

prabhuiitdhn/Docker-kubernetes

prabhuiitdhn/dvc_understanding

This is for understanding for DVC, A machine Learning tool which can track the data, Experiments and metrics.

prabhuiitdhn/ensemble_method_DL

prabhuiitdhn/Extracting-images-from-video

Sample code for extracting images from video. Used PIL Library and OpenCV for extracting image. The main goal of writing this code is "for very large video size file, it is difficult sometimes to extract in arranged way; so, This code will help to extract image from video in same named -new folder "

prabhuiitdhn/Face-and-eye-detection_OpenCV

This minor project repositories includes the code for detecting the face and eye using haarcascade_frontalface_default.xml and haarcascade_eye.xml. It takes input as images and returns output as detected face and eye in bouding box.

prabhuiitdhn/git_dvc_test

Just to play around with git and dvc

prabhuiitdhn/Google-Drive-in-Linux

Step by step guidelines for integrating google drive in linux. If you do not prefer the command line, Using Grive2 tool we can access. It is incredibly easy to use FUSE-based system written in Ocaml.

prabhuiitdhn/GoogleNet-Architecture-In-deeplearning-using-ImageNet

prabhuiitdhn/learnopencv

Learn OpenCV : C++ and Python Examples

prabhuiitdhn/Machine-Learning

This repository include python implementation of basic and intermediate level machine learning algorithms.

prabhuiitdhn/MiniVGGnet-Architecture-on-cifar10-Dataset

This repository contains VGGnet architecture in keras for image classification. I trained miniVGGnet with 10 classes & achieved training accuracy up to 85% and testing accuracy up to 80%.

prabhuiitdhn/Object-detection-using-Deep-learning

prabhuiitdhn/Practice_Data_Engineering

prabhuiitdhn/tensorflow-deployment-raspberrypi

This repository is for deploying the trained tensorflow model in raspberry pi for face-detection and detect the actions. The main goal of this implementation is "deploying tensorflow trained model in raspberry pi is slightly lengthy so, using this code we can easily load the model and inference by it""