Convert coco dataset to tfrecord for the tensorflow detection API.
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Updated
Feb 26, 2018 - Python
Convert coco dataset to tfrecord for the tensorflow detection API.
Convert your own dataset to COCO dataset.
This is a deep learning code written in PyTorch that convert a given text into image.
this simple tutorial will introduce how to use im2rec for mx.image.ImageIter , ImageDetIter and how to use im2rec for COCO DataSet
This object detection only for image not for video.You will give input image then it will give output object detected/classify the object.
Transfer learning in PyTorch using a custom coco dataset
Scripts to convert different Datasets into nice COCO-styled JSON
This is PyQt platform where the selected image is processed by using YOLOv3 algorithm and darknet framework.
Contains code which were very useful when dealing with COCO Dataset
A neural network architecture that automatically generate captions from images.
Tool to convert all labelme keypoints file to one single coco keypoints file
Miscellaneous scripts: Hand Segementation, Load COCO dataset, simple tkinter gui apps
Here a transfer learning solution for traffic light detection is presented. It uses Mask Region-Based Convolutional Neural Network as it base.
Convert the predicted annotated text into voice responses
Automatic checkout system for supermarket, mall and store support smart city innovation. Top 5 at Hackathon 2020: Smart City
A tool for the conversion from ICDAR to COCO dataset.
Use the python script to select images contains person in the COCO。
Add a description, image, and links to the cocodataset topic page so that developers can more easily learn about it.
To associate your repository with the cocodataset topic, visit your repo's landing page and select "manage topics."