{"repo":"lartpang/PyIRSTDMetrics","free":true,"listed":false,"github":"https://github.com/lartpang/PyIRSTDMetrics","clone":"git clone https://github.com/lartpang/PyIRSTDMetrics.git","description":"[NeurIPS 2025 (D&B)] Rethinking Evaluation of Infrared Small Target Detection","language":"Python","stars":361,"topics":["error-analysis","infrared-small-target-images","irstd","metric","metrics","infrared-small-target-detction","infrared-small-target-segmentation"],"license":"MIT","category":"analytics","readme_excerpt":"PyIRSTDMetrics: A simple and efficient implementation for the IRSTD performance analysis [!important] Our exploration in this field continues with PyIRSTDMetrics, a project born from the same core motivation as our previous project PySODMetrics. ​​Think of them as twin initiatives: PySODMetrics maps the landscape of current evaluation, while its sibling (PyIRSTDMetrics) takes the next step to expand upon and rethink it. We'd love your star! 🌟 News - 2025-9-23: Our paper ( Rethinking Evaluation of Infrared Small Target Detection ) accepted by NeurIPS 2025 (D&B) has been released on the arXiv (2509.16888). Introduction A simple and efficient implementation for the IRSTD performance analysis. - Based on numpy 、 scikit-image and scipy . - Verification based on - The code structure is simple and easy to extend - The code is lightweight and fast Your improvements and suggestions are welcome. Supported Metrics Metric Sample-based Whole-based Related Class Level ----------------------------- ---------------------- ----------- -------------------------------------------------------------------------------------------- ------ IoU max,avg,adp,bin (nIoU) bin (IoU) CMMetrics + IOUHandler pixel F1 max,avg,adp,bin bin CMMetrics + FmeasureHandler pixel Precision max,avg,adp,bin bin CMMetrics + PrecisionHandler pixel Recall max,avg,adp,bin bin CMMetrics + RecallHandler pixel TPR max,avg,adp,bin bin CMMetrics + TPRHandler pixel FPR max,avg,adp,bin bin CMMetrics + FPRHandler pixel Pd/Fa ✔ Prob","default_branch":null,"files":null,"tree":[],"storefront":"/r/lartpang","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/lartpang/PyIRSTDMetrics/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}