601 Open source projects that are alternatives of or similar to Anpr

YOLO3 动漫人脸检测 (Based on keras and tensorflow) 2019-1-19

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥

YOLO for object detection tasks

YOLO for object detection tasks

A Unified Convolutional Neural Network Approach of Gesture Recognition and Fingertip Detection.

Bridging caffe2 with yolo, esp on mobile devices

stock predict by cnn and lstm

No description or website provided.

This is a Tensorflow Java example application what uses YOLOv2 model and Gradle for build and dependency management.

Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

[BMVC17] Weakly Supervised Saliency Detection with A Category-Driven Map Generator

Multiple Object Tracking System in Keras + (Detection Network - YOLO)

MobileNetV2_YOLOV3 for ncnn framework

The implementation of YOLO_v1 with TensorFlow

Repository for the paper "Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework using Visual and Depth Cues"

YOLO Object detection with OpenCV and Python.

Conversion of yolo from DarkNet to Caffe

Kervolution Library in PyTorch (CVPR 2019 Oral)

Robotics Operating System Package for Yolo v3 based on darknet with optimized tracking using Kalman Filter and Optical Flow.

Keras implementation of a ResNet-CAM model

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

A pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"

A real-time object detection app based on lightDenseYOLO Our lightDenseYOLO is the combination of two components: lightDenseNet as the CNN feature extractor and YOLO v2 as the detection module

Inspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.

Visualizer for Deep Neural Networks

Finetune ConvNets with Tensorflow

State of the art object detection in real-time using YOLOV3 algorithm. Augmented with a process that allows easy training of the classifier as a plug & play solution . Provides alert if an item in an alert list is detected.

Image object detection demo(YOLO,SSD,etc.) running as a Flask web server.

Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses

车牌识别，基于HyperLPR实现，修改模型调用方法，使用caffe+tensorRT实现GPU加速，修改了车牌检测模型

Object Detection API Tensorflow

Make custom objects dataset and detect them using darkflow. Darkflow is a tensorflow translation of Darknet.

Pytorch implementation of YOLOX、PPYOLO、PPYOLOv2、FCOS an so on.

Target detection and multi target tracking platform based on Yolo DeepSort and Flask.

Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.

To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.

TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

使用SpingBoot、OpenCV、yolo开发舌诊小程序

📚 嵌入式系统基础知识与主流编程语言相关内容总结

combine state of art deep neural network based detectors with most efficient trackers to solve motion based multiple objects tracking problems

MODS with external deep descriptors/detectors

The code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

Detects objects in images/streaming video

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Go bindings for Darknet (YOLO v4 / v3)

Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream

🍉 移动端TNN部署学习笔记，支持Android与iOS。

Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.

Object detection on Jetson Nano, Raspberry Pi and Laptop

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

YOLO for object detection tasks

C++ wrapper library for Darknet

ffcnn is a cnn neural network inference framework, written in 600 lines C language.

javascript implementation of "tracker by detections" for realtime multiple object tracking (MOT)

C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

using yolox+deepsort for object-tracking

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

Marking up images for use with Darknet.