Pinned Repositories
Autonomous_Image_Localization
Crack-segmentation
This repo contains customized deep learning models for segmenting cracks.
Crack-Semantic-Segmentation
Real time crack segmentation using PyTorch, OpenCV and ONNX runtime
crack_segmentation
This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu
CrackForest-dataset
CS543_project_Image-based-Localization-of-Bridge-Defects-with-AR-Visualization
Visual inspection of bridges is customarily used to identify and evaluate faults. However, current procedures followed by human inspectors demand long inspection times to examine large and difficult to access bridges. To address these limitations, we investigate a computer vision‐based approach that employs SIFT keypoint matching on collected images of defects against a pre-existing reconstructed 3D point cloud of the bridge. We also investigate methods of reducing computation time with ML-based and conventional CV methods of segmentation to eliminate redundant keypoints. Our project successfully localizes the defect images and achieves a savings in runtime from filtering keypoints.
Deep-Learning-and-Computer-Vision-for-Structural-Crack-Detection-And-Classification
Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance
DIS-YOLO
Surface-Defect-Detection
🐎📈 Constantly summarizing open source dataset and important critical papers in the field of surface defect research which are very important. 🐋
ZHANGKEON's Repositories
ZHANGKEON/DIS-YOLO
ZHANGKEON/Surface-Defect-Detection
🐎📈 Constantly summarizing open source dataset and important critical papers in the field of surface defect research which are very important. 🐋
ZHANGKEON/Crack-segmentation
This repo contains customized deep learning models for segmenting cracks.
ZHANGKEON/Crack-Semantic-Segmentation
Real time crack segmentation using PyTorch, OpenCV and ONNX runtime
ZHANGKEON/Deep-SORT-YOLOv4
People detection and optional tracking with Tensorflow backend.
ZHANGKEON/DeepLearning
ZHANGKEON/DeepSegmentor
A Pytorch implementation of DeepCrack and RoadNet projects.
ZHANGKEON/Keras-YOLOv4
yolov4 42.0% mAP.ppyolo 45.1% mAP.
ZHANGKEON/labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
ZHANGKEON/PatchDrop
PyTorch Implementation of `Learning to Process Fewer Pixels` - [CVPR20 (Oral)]
ZHANGKEON/pytorch-YOLOv4
PyTorch ,ONNX and TensorRT implementation of YOLOv4
ZHANGKEON/PyTorch_YOLOv4
PyTorch implementation of YOLOv4
ZHANGKEON/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
ZHANGKEON/RetinaNet_Tensorflow_Rotation
Focal Loss for Dense Rotation Object Detection
ZHANGKEON/RoadDamageDetector
ZHANGKEON/severstal-steel-defect-detection
Kaggle Segmentation Challenge
ZHANGKEON/tensorflow-yolov3
🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"
ZHANGKEON/tensorflow-yolov4-tflite
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
ZHANGKEON/tf2-yolov4
A TensorFlow 2.0 implementation of YOLOv4: Optimal Speed and Accuracy of Object Detection
ZHANGKEON/unet
unet for image segmentation
ZHANGKEON/yolov3
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
ZHANGKEON/yolov4-deepsort
Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
ZHANGKEON/yolov4-keras
这是一个YoloV4-keras的源码，可以用于训练自己的模型。
ZHANGKEON/YOLOv4-pytorch
This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO
ZHANGKEON/yolov4-pytorch-1
这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。
ZHANGKEON/Yolov4-tensorflow
tensorflow implementation for Yolo v4
ZHANGKEON/YOLOv4_tensorflow
implement yolov4 with pure tensorflow (tf1) and you can training net on your own dataset. YOLOv4的纯tensorflow实现,可训练自己的模型.
ZHANGKEON/yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite
ZHANGKEON/Yolov5_tf
Yolov5/Yolov4/ Yolov3/ Yolo_tiny in tensorflow
ZHANGKEON/zoom-learn-zoom
computational zoom from raw sensor data