文件名称：Object-Detection-Metrics:用于评估对象检测算法的最受欢迎指标
文件大小：10.14MB
文件格式：ZIP
更新时间：2024-05-27 21:45:00
metrics object-detection bounding-boxes pascal-voc mean-average-precision
引文 如果您使用此代码进行研究，请考虑引用： @Article{electronics10030279, AUTHOR = {Padilla, Rafael and Passos, Wesley L. and Dias, Thadeu L. B. and Netto, Sergio L. and da Silva, Eduardo A. B.}, TITLE = {A Comparative Analysis of Object Detection Metrics with a Companion Open-Source Toolkit}, JOURNAL = {Electronics}, VOLUME = {10}, YEAR = {2021}, NUMBER = {3}, ARTICLE-NUMBER = {279}, URL = {https://www.mdpi.com/2079
【文件预览】：
Object-Detection-Metrics-master
----.gitignore(1KB)
----results()
--------person.png(29KB)
--------person_11-pointInterpolation.png(28KB)
--------results.txt(585B)
----requirements.txt(231B)
----groundtruths()
--------00003.txt(59B)
--------00005.txt(39B)
--------00007.txt(38B)
--------00001.txt(40B)
--------00006.txt(38B)
--------00002.txt(40B)
--------00004.txt(39B)
----_init_paths.py(1KB)
----detections()
--------00003.txt(120B)
--------00005.txt(94B)
--------00007.txt(48B)
--------00001.txt(70B)
--------00006.txt(71B)
--------00002.txt(71B)
--------00004.txt(93B)
----aux_images()
--------interpolated_precision_v2.png(27KB)
--------precision_recall_example_1_v2.png(50KB)
--------table_1_v2.png(47KB)
--------interpolated_precision-AUC_v2.png(23KB)
--------11-pointInterpolation.png(28KB)
--------samples_1_v2.png(37KB)
--------table_2_v2.png(90KB)
--------iou.png(3KB)
----samples()
--------sample_1()
--------sample_2()
----LICENSE(1KB)
----.github()
--------workflows()
----detections_rel()
--------00003.txt(214B)
--------00005.txt(149B)
--------00007.txt(71B)
--------00001.txt(132B)
--------00006.txt(117B)
--------00002.txt(143B)
--------00004.txt(160B)
----README.md(30KB)
----message.txt(2KB)
----lib()
--------__init__.py(552B)
--------BoundingBox.py(7KB)
--------utils.py(4KB)
--------Evaluator.py(19KB)
--------BoundingBoxes.py(3KB)
----groundtruths_rel()
--------00003.txt(135B)
--------00005.txt(72B)
--------00007.txt(75B)
--------00001.txt(72B)
--------00006.txt(58B)
--------00002.txt(66B)
--------00004.txt(56B)
----paper_survey_on_performance_metrics_for_object_detection_algorithms.pdf(7.94MB)
----pascalvoc.py(18KB)