Pytorch implementation of homework 3 for VRDL course in 2021 Fall semester at NYCU.
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Updated
Dec 15, 2021 - Python
Pytorch implementation of homework 3 for VRDL course in 2021 Fall semester at NYCU.
Json2Xml tool will help you convert from json COCO format to VOC xml format in Object Detection Problem.
Yolact++ training with custom dataset (coco.json format) in Google Colab
mask rcnn training with coco-like dataset. You can use for trainnig your own coco.json (polygon) dataset in Google Colab.
Vehicle make and model recognition (VMMR) using BVMMR dataset v2
Dataset prep tool for object detection tasks
A dataset for semantic segmentation of Sosnowsky's hogweed in the ground-level view photos taken in St. Petersburg, Malaya Vishera, Pushkin, etc.
Tool for working with images annotations. Allows you to convert, modify and analyze annotations to images of such formats as Yolo, COCO, LabelMe, etc.
Convert annotations from VIA to COCO.
Fast alternative to FiftyOne for creating a subset of the COCO dataset.
Utility scripts for COCO json annotation format
Cityscapes to CoCo Format Conversion Tool for Mask-RCNN and Detectron
✏️ Web-based image segmentation tool for object detection, localization, and keypoints
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