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.
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
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
A tool for the conversion from ICDAR to COCO dataset.
Use the python script to select images contains person in the COCO。
Image Captioning using CNN and Transformer.
Build a subset of COCO dataset
YOLOX implemented by pytorch lightning, a simpler expression of pytorch
Live object detection using MobileNetSSD with OpenCV
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