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calibrate-line-scan-camera

Calibrate line-scan camera. Use Halcon to extract points on the calibration plate picture. Use OpenCV to calibrate the camera. The solution method of the linear structured light equation is: laser line fitting plane on multiple calibration plates.

centernet

Object detection, 3D detection, and pose estimation using center point detection:

coding-interview-university

A complete computer science study plan to become a software engineer.

darknet

YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

edgessubpix

Sub-Pixel Edge Detection Using OpenCV

faster_rcnn_pytorch

Faster RCNN with PyTorch

hands-on-gpu-accelerated-computer-vision-with-opencv-and-cuda

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

leetcode

LeetCode Problems' Solutions

mask-rcnn

A PyTorch implementation of the architecture of Mask RCNN, serves as an introduction to working with PyTorch

muduo

Event-driven network library for multi-threaded Linux server in C++11

ocr_tf_crnn_ctc

Extremely simple implement for CRNN by Tensorflow

opencv

Open Source Computer Vision Library

pytorch-mobilenet-v3

MobileNetV3 in pytorch and ImageNet pretrained models

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

redis

Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.

refinedet.pytorch

A higher performance PyTorch implementation of Single-Shot Refinement Neural Network for Object Detection

shape_based_matching

try to implement halcon shape based matching, refer to machine vision algorithms and applications, page 317 3.11.5, written by halcon engineers

ssd-tensorflow

Single Shot MultiBox Detector in TensorFlow

ssd.tensorflow

State-of-the-art Single Shot MultiBox Detector in Pure TensorFlow, QQ Group: 758790869

tensorflow-c-mnist

tensorflow-yolo3

tensorflow implementation of yolov3

tf-crnn

TensorFlow Convolutional Recurrent Neural Network (CRNN) using TF's Estimator and Dataset

yolov3-model-pruning

对 YOLOv3 做模型剪枝（network slimming），对于 oxford hand 数据集（因项目需要），模型剪枝后的参数量减少 80%，Infer 的速度达到原来 2 倍，mAP 基本不变