Mohsen Azimi (mohsen-azimi)

mohsen-azimi

Geek Repo

Company:SHM.ai

Location:Vancouver, BC, Canada

Home Page:https://mohsen-azimi.github.io/

Twitter:@Mohsen__Azimi

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Mohsen Azimi's repositories

Structural-Dynamics-and-Vibration-Control-Book

MATLAB codes for the book (in Farsi) " Structural Dynamics and Vibration Control"

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SHM_CNN_CompressedData

Structural Health Monitoring Using Extremely-compressed Data through Deep Learning

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3d-shm

This repository contains the codes for 3D contactless vibration monitoring of shake-table tests using RGB-D cameras

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Mask_RCNN

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

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SegFormer_Segmentation

Semantic Segmentation with SegFormer on Drone Dataset.

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smart-4wd-robot

This repository contains the codes I used to create a smart 4WD robot for autonamous navigation and inspection projects.

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keras-io

Keras documentation, hosted live at keras.io

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mohsen-azimi

Config files for my GitHub profile.

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open3d_slam

Pointcloud based SLAM system using open3D library.

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ros_autonomous_slam

ROS package which uses the Navigation Stack to autonomously explore an unknown environment with help of GMAPPING and constructs a map of the explored environment. Finally, a path planning algorithm from the Navigation stack is used in the newly generated map to reach the goal. The Gazebo simulator is used for the simulation of the Turtlebot3 Waffle Pi robot. Various algorithms have been integrated for Autonomously exploring the region and constructing the map with help of the 360-degree Lidar sensor. Different environments can be swapped within launch files to generate a map of the environment.

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SAMPlusPlus

SegmentAnything_PlusPlus

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segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

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STEGO

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

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Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

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yolov5

YOLOv5 πŸš€ in PyTorch > ONNX > CoreML > TFLite

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yolov7

πŸ”₯πŸ”₯πŸ”₯πŸ”₯ YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! πŸ”₯πŸ”₯πŸ”₯

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