HassanBinHaroon
I am a driven Artificial Intelligence (AI) Engineer working on two state-of-the-art research areas (Real-Time Object Detection & Distance Estimation and Advance
Pinned Repositories
deep-hough-transform
This is the implementation of https://github.com/Hanqer/deep-hough-transform on Google Colab.
GroundingDINO-Inference
This project represents a GroundingDINO Inference (zero-shot object detection) procedure with both methods (CLI and Script). This implementation will help the reader to know the sequence of commands and exemplifying commands for running a quick zero-shot object detection. Additionally, the reader may get insight into code (script) execution.
object_detection-PLUS-distance_estimation-v1
This project implements object detection and range estimation. The object detection is done through YOLOV5 in this implementation. The project works in concatenation i.e object detection output is input to the range estimation model.
TextFuseNet
A PyTorch implementation of "TextFuseNet: Scene Text Detection with Richer Fused Features".
YOLOER_V1
YOLOER stands for You Only Look Once and Estimate Range. The project is about REAL-TIME Object Detection and Distance/Depth Estimation using YOLOv5 as object detector.
YOLOER_V2
YOLOER stands for You Only Look Once and Estimate Range. The project is about REAL-TIME Object Detection and Distance/Depth Estimation using YOLOv7 as object detector.
cpython
The Python programming language
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
HassanBinHaroon's Repositories
HassanBinHaroon/object_detection-PLUS-distance_estimation-v1
This project implements object detection and range estimation. The object detection is done through YOLOV5 in this implementation. The project works in concatenation i.e object detection output is input to the range estimation model.
HassanBinHaroon/deep-hough-transform
This is the implementation of https://github.com/Hanqer/deep-hough-transform on Google Colab.
HassanBinHaroon/YOLOER_V1
YOLOER stands for You Only Look Once and Estimate Range. The project is about REAL-TIME Object Detection and Distance/Depth Estimation using YOLOv5 as object detector.
HassanBinHaroon/YOLOER_V2
YOLOER stands for You Only Look Once and Estimate Range. The project is about REAL-TIME Object Detection and Distance/Depth Estimation using YOLOv7 as object detector.
HassanBinHaroon/GroundingDINO-Inference
This project represents a GroundingDINO Inference (zero-shot object detection) procedure with both methods (CLI and Script). This implementation will help the reader to know the sequence of commands and exemplifying commands for running a quick zero-shot object detection. Additionally, the reader may get insight into code (script) execution.
HassanBinHaroon/TextFuseNet
A PyTorch implementation of "TextFuseNet: Scene Text Detection with Richer Fused Features".