shreyas-bk

BOXER_auto_annotation_tool

Real time automatic creation of bounding boxes as well as salience maps around detected objects for fixed backgrounds. Save images as well as the corresponding annotations once the object has been detected. Uses OpenCV and TensorFlow

OptimalCluster

OptimalCluster is the Python implementation of various algorithms to find the optimal number of clusters. The algorithms include elbow, elbow-k_factor, silhouette, gap statistics, gap statistics with standard error, and gap statistics without log. Various types of visualizations are also supported.

Personal_Face_Mask_Detection_V3

Determines whether a specific user is wearing a face mask or not using a 2-factor approach written in Python with TensorFlow and OpenCV modules. Includes a Google Colab notebook tutorial and code for real-time detection using OpenCV.

PMBW_Object_Detection_In_Thermal_Images

Paced Multistage Blockwise Framework for Object Detection in Thermal Images

py-denseflow-GPU

Extract optical flow images from videos with GPU and multiprocessing support

RPI-Drone-Image-Detection-IOT-Project

Person Detection with TF from RPi images on the Cloud with flask-ngrok UI

U-2-Net

Modified fork of Xuebin Qin's U-2-Net Repository. Used for demonstration purposes.

U-2-Net-Keras

Keras version of U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection

u2netdemo

Demonstration using Google Colab to show how U-2-NET can be used for Background Removal, Changing Backgrounds, Bounding Box Creation, Salient Feature Highlighting and Salient Object Cropping.

shreyas-bk/u2netdemo

Demonstration using Google Colab to show how U-2-NET can be used for Background Removal, Changing Backgrounds, Bounding Box Creation, Salient Feature Highlighting and Salient Object Cropping.

shreyas-bk/U-2-Net

Modified fork of Xuebin Qin's U-2-Net Repository. Used for demonstration purposes.

shreyas-bk/Personal_Face_Mask_Detection_V3

Determines whether a specific user is wearing a face mask or not using a 2-factor approach written in Python with TensorFlow and OpenCV modules. Includes a Google Colab notebook tutorial and code for real-time detection using OpenCV.

shreyas-bk/PMBW_Object_Detection_In_Thermal_Images

Paced Multistage Blockwise Framework for Object Detection in Thermal Images

shreyas-bk/RPI-Drone-Image-Detection-IOT-Project

Person Detection with TF from RPi images on the Cloud with flask-ngrok UI

shreyas-bk/U-2-Net-Keras

Keras version of U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection

shreyas-bk/OptimalCluster

OptimalCluster is the Python implementation of various algorithms to find the optimal number of clusters. The algorithms include elbow, elbow-k_factor, silhouette, gap statistics, gap statistics with standard error, and gap statistics without log. Various types of visualizations are also supported.

shreyas-bk/py-denseflow-GPU

Extract optical flow images from videos with GPU and multiprocessing support

shreyas-bk/4-1

shreyas-bk/amplify-react-graphql

shreyas-bk/BITS_PILANI_3-1_CS

shreyas-bk/BITS_PILANI_3-2_CS

shreyas-bk/cs5356-docs

shreyas-bk/DiscordBotPsySocial

shreyas-bk/GREprep-Word-Quiz

shreyas-bk/mct_quantizers

shreyas-bk/mmaction2

OpenMMLab's Next Generation Action Understanding Toolbox and Benchmark

shreyas-bk/model_optimization

Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.

shreyas-bk/NNFL_Term_Paper

NNFL Term Paper, Paper 13: CycleGAN

shreyas-bk/Performer_vs_Transformer

A small demo to show the performances of performers and transformers on simple cases

shreyas-bk/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

shreyas-bk/pytorch-YOLOv4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

shreyas-bk/RaspberryPi-Colab-FlaskWebPage

shreyas-bk/shreyas-bk.github.io

shreyas-bk/tensorflow-onnx

Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

shreyas-bk/test_CNN_model

shreyas-bk/TPN

[CVPR 2020] Temporal Pyramid Network for Action Recognition

shreyas-bk/tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

shreyas-bk/u2netdemoflasktemp

shreyas-bk/Vendor_Performance-Classification-Rating

This is an end-to-end implemented ML model used to classify as well as rate various vendors at the end of each month based on various parameters. It is deployed as a Flask web application. It can also be accessed with the help of a Docker Image by pulling -> anantverma275/vendor_perf