All Projects → wang-tf → pascal_voc_tools

wang-tf / pascal_voc_tools

Licence: MIT license
some tools about pascal voc format dataset

Programming Languages

python
139335 projects - #7 most used programming language
shell
77523 projects

Projects that are alternatives of or similar to pascal voc tools

Image bbox slicer
This easy-to-use library splits images and its bounding box annotations into tiles, both into specific sizes and into any arbitrary number of equal parts. It can also resize them, both by specific sizes and by a resizing/scaling factor.
Stars: ✭ 41 (+70.83%)
Mutual labels:  pascal-voc
Voc2coco
How to create custom COCO data set for object detection
Stars: ✭ 140 (+483.33%)
Mutual labels:  pascal-voc
Tensorflow Deeplab Lfov
DeepLab-LargeFOV implemented in tensorflow
Stars: ✭ 218 (+808.33%)
Mutual labels:  pascal-voc
Tensorflow Deeplab Resnet
DeepLab-ResNet rebuilt in TensorFlow
Stars: ✭ 1,198 (+4891.67%)
Mutual labels:  pascal-voc
Robust Detection Benchmark
Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)
Stars: ✭ 128 (+433.33%)
Mutual labels:  pascal-voc
Sunets
PyTorch Implementation of Stacked U-Nets (SUNets)
Stars: ✭ 149 (+520.83%)
Mutual labels:  pascal-voc
Tensorflow Deeplab V3 Plus
DeepLabv3+ built in TensorFlow
Stars: ✭ 738 (+2975%)
Mutual labels:  pascal-voc
MCAR
Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition
Stars: ✭ 32 (+33.33%)
Mutual labels:  pascal-voc
Make Sense
Free to use online tool for labelling photos. https://makesense.ai
Stars: ✭ 2,087 (+8595.83%)
Mutual labels:  pascal-voc
Dsrg
Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).
Stars: ✭ 206 (+758.33%)
Mutual labels:  pascal-voc
Chainer Pspnet
PSPNet in Chainer
Stars: ✭ 76 (+216.67%)
Mutual labels:  pascal-voc
Efficientdet.pytorch
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
Stars: ✭ 1,383 (+5662.5%)
Mutual labels:  pascal-voc
Map
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Stars: ✭ 2,324 (+9583.33%)
Mutual labels:  pascal-voc
Fcn Googlenet
GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow
Stars: ✭ 45 (+87.5%)
Mutual labels:  pascal-voc
visualize-voc-format-data
A simple utility programe to visualize pascal voc (format) dataset images with bounding boxes. Useful to check whether there is any error in forming annotation files.
Stars: ✭ 23 (-4.17%)
Mutual labels:  pascal-voc
Pytorch Auto Drive
Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training
Stars: ✭ 32 (+33.33%)
Mutual labels:  pascal-voc
Lacmus
Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.
Stars: ✭ 142 (+491.67%)
Mutual labels:  pascal-voc
PyTorch-Spiking-YOLOv3
A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/yolov3 & eriklindernoren/PyTorch-YOLOv3), with support for Spiking-YOLOv3-Tiny at present.
Stars: ✭ 144 (+500%)
Mutual labels:  pascal-voc
Object-Detection-Tools
Tools for object detection annotations in machine learning
Stars: ✭ 14 (-41.67%)
Mutual labels:  pascal-voc
Deeplab V2 Resnet 101 Tensorflow
An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.
Stars: ✭ 173 (+620.83%)
Mutual labels:  pascal-voc

Pascal VOC Tools

CodeFactor Documentation Status PyPI version codecov

This package includes some tools about pascal voc format dataset like read xml, write xml, resize image.

Functions

  • annotations file laod, edit and save;
  • dataset resize;
  • dataset argument(function from link);
  • darknet anchors k-means;

Install

pip install pascal-voc-tools
Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].