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adoptive-traffic-light-system

An adoptive traffic light system which identifies the length of que at a certain traffic light and changes the time of the green(go) light kept turned on. the placed optical sensors and receivers will sense the length of the que and the decide the turn on time of the green light (control the vehicle allowance rate ) based on the que length.

asi-image-featrures

Updated version of ASI using image features

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

dice_detection

Project to detect and classify six-sided dice from images using deep learning.

emotion-detector

This aims to classify the emotion on a person's face into some classes, using deep convolutional neural networks (CNN) with 2D convolution layer which creates a convolution kernel that is convolved with the layer input to produce a tensor of outputs. The training network is implemented on Keras and so far it is trained on six set of emotions, [angry, fearful, happy, neutral, sad and surprised]. The model is trained on the FER-2013 dataset which consists of 35887 grayscale, 48x48 sized face images.

face_recognition

face recognition API for websites

facenet

Face recognition using Tensorflow

goal-post-detector-

searching the video file and classify the frames which included the goalpost /// CNN classifier

haffman-encoder-matlab-code

This is not the inbuilt code for Haffman encoding

hybrid-video-codec

Partial prediction in Matlab. Full search method to block matching. P frame prediction using motion vectors

identity

image-captioning

The aim of the project is to create a captioning model. The architecture of your generative model which have two encoders and a decoder. The first encoder is used to extract visual features from images, while the second one is used for semantic features. Visual and semantic features are then concatenated to represent the images.

mask_rcnn-tf2.4

Mask R-CNN matterport fork updated to support TF 2.4

midas

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

my-code-

object-detection-api

Make it easy to train and deploy Object Detection(SSD) and Image Segmentation(Mask R-CNN) Model Using TensorFlow Object Detection API.

p2p-filesharing

A fully distributed peer-to-peer file sharing network allowing peers to share, search for files in the network and download files directly among peers.

pidinet-inference

Code for the ICCV 2021 paper "Pixel Difference Networks for Efficient Edge Detection" (Oral).

pwp

tf-pose-estimation

Hey! This is a clone of the tf-pose-estimation by Ildoo Kim modified to work with Tensorflow 2.0+!

tharindu326

test

unet

unet for image segmentation

vehical-tracking-system

Vehicle tracking system

vitpose

The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [TPAMI'23] "ViTPose++: Vision Transformer for Generic Body Pose Estimation"

yolo-series

A series of notebooks describing how to use YOLO (darkflow) in python

yolov5-inference

Inference for yolov5 without training functions

yolov7-pose-estimation

YOLOv7 Pose estimation using OpenCV, PyTorch

yolov9

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/