Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

AI to Combat Environmental Pollution - detecting plastic waste in the environment to combat environmental pollution and promote circular economy (Deep Learning, PyTorch)

My implementation of Fast-RCNN （tensorflow）

Hand tracking application developed in Pytorch

C++ and Python implementation of a automatic system for pedestrian detection at night using far infrared visual information based on convolutional neural networks.

Detectron is Facebook AI Research’s (FAIR) software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning framework. Detectron model is meant to advance object detection by offering speedy training and addressing the issues companies face when ma…

Implementation of Spatial Pyramid Pooling (SPP-net) in Keras for object classification and detection

A simple python module to generate anchor (aka default/prior) boxes for object detection tasks.

Simple example of using TorchServe to serve a PyTorch Object Detection model

C1_DrawBboxesOnImages.py and C2_AssignLabelsToBboxes.py's C# version

Face Mask Object Detection with Pytorch, OpenCV and Python

this is a full auto object detection with google tensorflow and object detection models

using pre-trained FastRCNN to detect objects from a given image

multithreading faster rcnn

Docker for object detection using tensorflow, Opencv and fastrcnn

ObjectDetection(논문 분석 및 코드 구현)

It presents a deep learning-based approach for identifying and tracking objects using camera input only. The system utilizes state-of-the-art computer vision models like YOLOv8 and RPN-Fast R-CNN to detect vehicles, persons, and obstacles in real-time. It enables autonomous navigation by processing visual data from camera, achieve high accuracy.

Pedestrian detector in torch7