100 Days of ML Coding

A PyTorch implementation of MobileNet V2 architecture and pretrained model.

A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

TensorRT for Yolov3

使用YOLO_v3_tiny和B-CNN实现街头车辆的检测和车辆属性的多标签识别 Using yolo_v3_tiny to do vehicle or car detection and attribute's multilabel classification or recognize

COCO API - Dataset @ http://cocodataset.org/

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2

An example of using DeepStream SDK for redaction

Supporting code for my article on video streaming with Flask.

🤘 LabelImg is a graphical image annotation tool and label object bounding boxes in images

Open deep learning compiler stack for cpu, gpu and specialized accelerators

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

Minimal PyTorch implementation of YOLOv3

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论（STAT 157）”教材。

基于mobilenet-ssd车牌检测,全新模型仅3.4MB.

Jetson Nano useful tools (setup, examples)

Code for FCHD - A fast and accurate head detector

Hands-On GPU Accelerated Computer Vision with OpenCV and CUDA, published by Packt

Deep Learning GPU Training System

Caffe Implementation of MobileNets V3

yolov3 network slimming剪枝的一种实现

move to https://github.com/dmlc/tvm/

OpencCV Cascade 车牌检测器训练代码