MMa321

Results 8 comments of MMa321

I tried it again, and to be precise, only the updated task comments will show up in the video

Sorry, I'm expressing that wrong, I meant to say pre-annotations

This is a browser error: store.js:442 Uncaught (in promise) TypeError: e.id.replace is not a function at store.js:442:27 at Array.forEach () at Object.addAnnotationFromPrediction (store.js:440:9) at ve (mobx.module.js:928:19) at r (mobx.module.js:915:16) at...

![1713944679111](https://github.com/HumanSignal/label-studio/assets/158540059/7c185ddc-9bff-45d6-a166-47174310137e)

> 我可以用上面提到的训练代码成功训练模型。其内容是:`train_sa.py` > > ``` > from ultralytics import YOLO > model = YOLO(model="./FastSAM.pt") # the path of the pretrained model > > model.train(data="coco.yaml", > epochs=100, > batch=2, > imgsz=1024,...

Hello, thank you for your sharing. I also want to evaluate this model on the coco dataset. May I ask how did you deploy it and how could you get...

> 尊敬的MMa321, 我使用 Docker 部署了模型,并在 COCO 数据集上运行了它。我 通过运行随 型。 此致敬意 犰狳装备 > [...](#) > 2024 年 2 月 25 日星期日晚上 11:01 MMa321 ***@***.***>写道: 您好,谢谢您的分享。我还想评估这个模型 Coco 数据集。请问您是如何部署它的,以及如何获得 结果 — 直接回复此邮件,在 GitHub...

> 晉語 > > 感谢您分享您的作品。我已经在COCO验证集上执行了[验证](https://github.com/CASIA-IVA-Lab/FastSAM/releases/tag/v0.0.2)代码,并收到了以下结果。您能否确认这是否是预期的输出? > > 谢谢 > > ------------------------------------------------------------- COCO 评估结果-----------------------------------------------将注释加载到内存中...完成 (t=1.38s) 创建索引...索引已创建!加载和准备结果...完成 (t=7.31s) 正在创建索引...索引已创建!正在按图像评估运行...评估注释类型 _bbox_ DONE (t=51.15s)。累积评估结果...完成 (t=11.30s)。平均精度 (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ]...