imageset-viewer
bbox-visualizer
| imageset-viewer | bbox-visualizer | |
|---|---|---|
| 1 | 2 | |
| 64 | 374 | |
| - | - | |
| 4.4 | 4.8 | |
| 10 months ago | 3 months ago | |
| Python | Python | |
| MIT License | MIT License |
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imageset-viewer
bbox-visualizer
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Community mingling live event, autonomous driving lecture, job opening, meet the member and more (Announcements 04.03.2021)
Meet the member - Shoumik Sharar Chowdhury. Shoumik and I had several talks the past months, he build the git project bbox-visualizer - This lets researchers draw bounding boxes and then labeling them easily with a stand-alone package. (The blog post)
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Meet the member - Shoumik Sharar Chowdhury
Another project I've worked on is the bbox-visualizer. This lets researchers draw bounding boxes and then labeling them easily with a stand-alone package. The code is very accessible and so I would encourage any open-source enthusiasts to contribute to the project. This would also be a good place to start for beginners who are just starting out with computer vision/open-source.
What are some alternatives?
review_object_detection_metrics - Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
coco-viewer - Minimalistic COCO Dataset Viewer in Tkinter
chitra - A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
nuscenes-devkit - The devkit of the nuScenes dataset.
second.pytorch - PointPillars for KITTI object detection
globox - A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.
diffgram - The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.
Unsupervised-Attention-guided-Image-to-Image-Translation - Unsupervised Attention-Guided Image to Image Translation
graph-cut-ransac - The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement