Open-source alternatives to Learnopencv

An example of CoreML using a pre-trained VGG16 model

This is a PyTorch object detection framework that implements the Single Shot MultiBox Detector for identifying and localizing multiple objects within images and video. The project provides a neural network architecture designed for single-shot object detection, which predicts bounding boxes and class labels in one pass. The implementation includes a real-time object detector capable of processing live video streams to track and label objects across sequential frames. It also features a complete computer vision training pipeline for preparing image datasets and training model weights. The fra

TCS humAIn This is a Flutter application that is used to locate the license plate out of a picture given to the application. Cue the Drum Rolls for what I am about to disclose. With the help of Sayak Paul the tensorflow model that was 255mb was cut short to a 2mb file. TFLite did the trick for…

Generate image analogies using neural matching and blending.

A PyTorch implementation of DenseNet.

Classification with PyTorch.

Convolutional Recurrent Neural Network

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

Compressed Video Action Recognition

PyTorch implementation of PNASNet-5 on ImageNet

A demo for iOS machine learning framework : Core ML

This is a Gluon implementation of MobileNetV2 architecture as described in the paper Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation.

By Jianzhu Guo.

OpenPose is a real-time pose estimation engine designed to detect and track human body, face, hand, and foot landmarks. It functions as a multi-person motion tracker, identifying the spatial coordinates of multiple individuals simultaneously within video streams or static images. Beyond two-dimensional detection, the software acts as a three-dimensional kinematics processor, reconstructing spatial movement data from single or multiple synchronized camera perspectives. The system distinguishes itself through a bottom-up approach that utilizes part-affinity fields to associate body parts across

👀 iOS11 demo application for age and gender classification of facial images.

🌸 iOS11 demo application for flower classification.

🖼 iOS11 demo application for image style classification.

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

PyTorch implementation of Deformable Convolution