Pinned Repositories
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
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
Fighting-JJ's Repositories
Fighting-JJ/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
Fighting-JJ/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.
Fighting-JJ/CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
Fighting-JJ/coding-interview-university
A complete computer science study plan to become a software engineer.
Fighting-JJ/darknet
YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)
Fighting-JJ/EdgesSubPix
Sub-Pixel Edge Detection Using OpenCV
Fighting-JJ/faster_rcnn_pytorch
Faster RCNN with PyTorch
Fighting-JJ/Hands-On-GPU-Accelerated-Computer-Vision-with-OpenCV-and-CUDA
Hands-On GPU Accelerated Computer Vision with OpenCV and CUDA, published by Packt
Fighting-JJ/leetcode
LeetCode Problems' Solutions
Fighting-JJ/Mask-RCNN
A PyTorch implementation of the architecture of Mask RCNN, serves as an introduction to working with PyTorch
Fighting-JJ/muduo
Event-driven network library for multi-threaded Linux server in C++11
Fighting-JJ/OCR_TF_CRNN_CTC
Extremely simple implement for CRNN by Tensorflow
Fighting-JJ/opencv
Open Source Computer Vision Library
Fighting-JJ/pytorch-mobilenet-v3
MobileNetV3 in pytorch and ImageNet pretrained models
Fighting-JJ/PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
Fighting-JJ/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.
Fighting-JJ/RefineDet.PyTorch
A higher performance PyTorch implementation of Single-Shot Refinement Neural Network for Object Detection
Fighting-JJ/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
Fighting-JJ/SSD-Tensorflow
Single Shot MultiBox Detector in TensorFlow
Fighting-JJ/SSD.TensorFlow
State-of-the-art Single Shot MultiBox Detector in Pure TensorFlow, QQ Group: 758790869
Fighting-JJ/tensorflow-c-mnist
Fighting-JJ/tensorflow-yolo3
tensorflow implementation of yolov3
Fighting-JJ/tf-crnn
TensorFlow Convolutional Recurrent Neural Network (CRNN) using TF's Estimator and Dataset