gnanimail Goto Github PK

aruco_tracker

Aruco Markers for pose estimation

camigo

An basic camera application that can recognize faces.

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

examples

A repository to host extended examples and tutorials

face

Face detection and recognition with OpenCV 3.x

face-recognition

Simple Face Recognition algorithm using Python and OpenCV

face-recognition-1

Face Recognition tutorial code

face_classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

feature-store

generativeai

google-vision-api-image-annotate

Annotating images with the Google Cloud Vision API.

human-detection-and-tracking

Human-detection-and-Tracking

human-detection-in-video-with-background-subtraction

The program will take a video as an input and will detect human body using OpenCV. Then will start doing background subtraction.

keras-seq2seq-example

Toy Keras implementation of a seq2seq model with examples.

keras_realtime_multi-person_pose_estimation

Keras version of Realtime Multi-Person Pose Estimation project

kubeflow-pipeline-aircraft-emission

learnopencv

Learn OpenCV : C++ and Python Examples

machine-leaning

machine-learning

nab

The Numenta Anomaly Benchmark

nlp

nmt_keras

Neural Machine Translation using word level seq2seq model and embeddings

opencv

Open Source Computer Vision Library

opencv-python-tests

Just some scripts that I write while I'm learning OpenCV

opencv2-python

Contains some Python Samples with new cv2 interface of OpenCV

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

rtableau

simpleitk

SimpleITK: a simplified layer build on top of the Insight Toolkit (ITK), intended to facilitate its use in rapid prototyping, education and interpreted languages.

tensorflow-101

TensorFlow 101: Introduction to TensorFlow

tf-pose-estimation

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.