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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

deep-sort-yolov4

People detection and optional tracking with Tensorflow backend.

deeplearning

deepsegmentor

A Pytorch implementation of DeepCrack and RoadNet projects.

dis-yolo

fcn_for_crack_recognition

An application FCN for crack recogntion using tensorflow

keras-yolov4

yolov4 42.0% mAP.ppyolo 45.1% mAP.

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

patchdrop

PyTorch Implementation of `Learning to Process Fewer Pixels` - [CVPR20 (Oral)]

pytorch-yolov4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

pytorch_yolov4

PyTorch implementation of YOLOv4

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

retinanet_tensorflow_rotation

Focal Loss for Dense Rotation Object Detection

roaddamagedetector

severstal

Severstal: Steel Defect Detection

severstal-steel-defect-detection

Kaggle Segmentation Challenge

surface-defect-detection

🐎📈 Constantly summarizing open source dataset and important critical papers in the field of surface defect research which are very important. 🐋

tensorflow-yolov3

🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

tensorflow-yolov4-tflite

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

tf2-yolov4

A TensorFlow 2.0 implementation of YOLOv4: Optimal Speed and Accuracy of Object Detection

unet

unet for image segmentation

unet-tensorflow-keras

A concise code for training and evaluating Unet using tensorflow+keras

yolov2-tensorflow