There are 1 repository under fastrcnn topic.
My implementation of Fast-RCNN (tensorflow)
AI to Combat Environmental Pollution - detecting plastic waste in the environment to combat environmental pollution and promote circular economy (Deep Learning, PyTorch)
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.
Implementation of Spatial Pyramid Pooling (SPP-net) in Keras for object classification and detection
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 making the step from research to production.
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
Face Mask Object Detection with Pytorch, OpenCV and Python
C1_DrawBboxesOnImages.py and C2_AssignLabelsToBboxes.py's C# version
using pre-trained FastRCNN to detect objects from a given image
this is a full auto object detection with google tensorflow and object detection models
Docker for object detection using tensorflow, Opencv and fastrcnn
ObjectDetection(논문 분석 및 코드 구현)
Pedestrian detector in torch7