fatemeh-mohseni-AI
Deep Learning Deep Lover Robotic Learner Software Engineer
TechnoableNorth York, Ontario, Canada
Pinned Repositories
code_pieces
one branch one topic
download-ziped-images-django
how to make url which download images from specific folder in a zip file
fiftyone_labelstudio
how to upload a Yolov5 dataset to Label-Studio through Fiftyone library
flask-socketIO
flask_websock_asyncio
A demo application showcasing the power and flexibility of Flask and WebSockets
most-repeated-vocabulary-IELTS
This project is a FastAPI-based web application designed to analyze C a m b r i d g e I E L T S P D F s ( B o o k s 1 − 18 ) for the most and least repeated words. It can handle both regular text-based PDFs and scanned image-based PDFs by converting them to images and extracting text using OCR (Optical Character Recognition).
tornado-asynchronous-file-handler
Demonstrates a server that receives a multipart-form-encoded set of files in an HTTP POST, or streams in the raw data of a single file in an HTTP PUT.
yolov8_ros2
Ultralytics YOLOv8 and YOLOv9 for ROS 2
jetbot
An educational AI robot based on NVIDIA Jetson Nano.
YOLO-V8-CAM
Wanna know what your model sees? Here's a package for applying EigenCAM on the new YOLO V8 model
fatemeh-mohseni-AI's Repositories
fatemeh-mohseni-AI/most-repeated-vocabulary-IELTS
This project is a FastAPI-based web application designed to analyze C a m b r i d g e I E L T S P D F s ( B o o k s 1 − 18 ) for the most and least repeated words. It can handle both regular text-based PDFs and scanned image-based PDFs by converting them to images and extracting text using OCR (Optical Character Recognition).
fatemeh-mohseni-AI/code_pieces
one branch one topic
fatemeh-mohseni-AI/download-ziped-images-django
how to make url which download images from specific folder in a zip file
fatemeh-mohseni-AI/fiftyone_labelstudio
how to upload a Yolov5 dataset to Label-Studio through Fiftyone library
fatemeh-mohseni-AI/flask-socketIO
fatemeh-mohseni-AI/flask_websock_asyncio
A demo application showcasing the power and flexibility of Flask and WebSockets
fatemeh-mohseni-AI/tornado-asynchronous-file-handler
Demonstrates a server that receives a multipart-form-encoded set of files in an HTTP POST, or streams in the raw data of a single file in an HTTP PUT.
fatemeh-mohseni-AI/yolov8_ros2
Ultralytics YOLOv8 and YOLOv9 for ROS 2
fatemeh-mohseni-AI/blango
fatemeh-mohseni-AI/yolov9_to_coco_segmentation
A snippet to handle the YOLOv9 segmentation format properly and convert it into COCO format