cocodataset
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pytorch implementation of a WACV 2021 Paper "Class-agnostic Few-shot-Object-Counting"
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Sep 22, 2022 - Python
this simple tutorial will introduce how to use im2rec for mx.image.ImageIter , ImageDetIter and how to use im2rec for COCO DataSet
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Aug 21, 2018 - Python
Cityscapes to CoCo Format Conversion Tool for Mask-RCNN and Detectron
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Mar 21, 2023 - Python
A CLI tool can create a specific task-dataset you want based on COCO dataset. Given the annotation JSON file, this tool will help you download the data and set the symbolic links from data_dir to task_dir !!
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Mar 4, 2023 - Python
Image Captioning using CNN and Transformer.
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Nov 9, 2021 - Python
Tool to convert all labelme keypoints file to one single coco keypoints file
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Jul 4, 2020 - Python
Convert the predicted annotated text into voice responses
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Nov 16, 2020 - Python
Automatic Image Captioning using PyTorch on MS COCO dataset
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Jul 24, 2022 - Jupyter Notebook
Clone of COCO API - Dataset @http://cocodataset.org/ - with changes to support Windows build and python3
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Jan 14, 2023 - Jupyter Notebook
Use the python script to select images contains person in the COCO。
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May 23, 2021 - Python
A tool for the conversion from ICDAR to COCO dataset.
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Apr 28, 2021 - Python
This repository tackles traffic congestion in smart cities using computer vision. The system automatically detects and classifies vehicles, analyzes traffic density, and dynamically adjusts traffic lights - all to optimize traffic flow!
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Jun 28, 2024 - PowerShell
YOLOX implemented by pytorch lightning, a simpler expression of pytorch
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May 26, 2022 - Python
An object detection model that uses YOLOv5 and OpenCV
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Mar 18, 2025 - Python
Live object detection using MobileNetSSD with OpenCV
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Aug 30, 2024 - Python
Pose Estimation using Ultralytics YOLOv8 engine
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Mar 19, 2024 - Jupyter Notebook
Vehicle Classification and Tracking Using Convolutional Neural Network Based on Darknet Yolo with Coco Dataset
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Nov 28, 2024
This is a deep learning code written in PyTorch that convert a given text into image.
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May 3, 2018 - Python
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