pytorch-0.4-yolov3
by andy-yun
Yet Another Implimentation of Pytroch 0.4.1 and YoloV3 on python3
AI summary
YOLO detector
A PyTorch implementation of YOLOv3 with support for both YOLOv2 and YOLOv3 configurations.
- stars
- 279
- forks
- 72
- watching
- 13
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
YOLO detector
An implementation of YOLOv2 in PyTorch for object detection using a darknet-based approach.
YOLO detector
A PyTorch implementation of the YOLO (You Only Look Once) v2 object detection algorithm with flexible configuration and parallel training capabilities.
Object detector
An implementation of the YOLO v3 object detection algorithm using Libtorch
Object detector
An implementation of a YOLO v3 object detection algorithm in PyTorch.
Object detector
An implementation of a unified network architecture for multiple object detection tasks using PyTorch
YOLO detector
A deep learning framework for object detection using YOLO3 and training datasets from various sources.
YOLO detector
An implementation of YOLO v3 object detection in Tensorflow using TF-Slim.
YOLO detector trainer
Trains a YOLOv2 object detector from scratch using Tensorflow
Object detector
Real-time object detection using deep learning and a large dataset of classes
Object detector
A Python interface to YOLO object detection software using Darknet
Object Detector
Represents an implementation of the YOLOv2 object detection algorithm in Chainer for real-time object detection and tracking.
Object detector library
A PyTorch wrapper around Facebook AI Research's Detectron models for object detection and instance segmentation
Object Detector
An implementation of YOLOv2 in Keras for object detection and regression tasks
YOLO detector
An implementation of YOLOv3 in PyTorch for object detection and tracking
Object detector
An implementation of the Deep Supervised Object Detector from scratch using PyTorch.
Featured in 1 awesome list
Each link jumps to the spot where the list mentions pytorch-0.4-yolov3.
