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realtime-facial-emotion-analyzer

Human Emotion Analysis using facial expressions in real-time from webcam feed. Based on the dataset from Kaggle's Facial Emotion Recognition Challenge.

segment-geospatial

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

simple-plagiarism-checker

Python plagiarism checking using sklearn package

speedradar-opencv-

This code focusses on Object Tracking and Speed Estimation of vehicles passing by a road.

stt

🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.

stt-examples

🐸STT integration examples

stt-models

Open models for Coqui STT

super-gradients

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

t-simcne

Unsupervised visualization of image datasets using contrastive learning

to-receive-gps-data-from-smart-phone-using-python

A python program that receive GPS data from android phone and send it to another device wirelessly.

torchyolo

PyTorch implementation of YOLOv5, YOLOv6, YOLOv7, YOLOv8, Sort, StrongSort, OcSort, ByteTrack, Norfair

track-anything

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything and XMem.

u-2-net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

ultra-fast-lane-detection

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

vehicle-counting-yolov5

An algorithm that uses YoloV5 and DeepSORT to count and measure the number of vehicles in a video stream, it detects the vehicles with YoloV5 and tracks them with DeepSORT to maintain a count of unique vehicles in the video. It also calculates the frames per second (FPS) of the video stream.

yolo-object-detection-and-distance-measurement-with-zed-camera

if you have a zed camera you can easily find the distance of the objects you have detected

yolo-tensorrt

TensorRT8.Support Yolov5s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.

yolofastestv2-ncnn-raspberry-pi-4

YoloFastestV2 for a bare Raspberry Pi 4

yolov5-lite

🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

yolov5-object-tracking

YOLOv5 Object Tracking + Detection + Object Blurring + Streamlit Dashboard Using OpenCV, PyTorch and Streamlit

yolov5_abs

YOLOv5 Object Detection with Automatic Braking System

yolov5_bev

Simple and Easy simulator YOLOv5 Object Detection with Bird's Eye View

yolov5_custom_data

yolov5_deepsort_pytorch

Real-time multi-object tracker using YOLO v5 and deep sort

yolov8-live

A short script showing how to build simple real-time video analytics apps using YOLOv8 and Supervision. Try it out, and most importantly have fun! 🤪

yolov8-object-tracking

YOLOv8 Object Tracking Using PyTorch, OpenCV and Ultralytics

yolov8-tensorrt

YOLOv8 using TensorRT accelerate !

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/