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If you haven’t already, check out our [contributing guidelines](https://github.com/Expensify/ReactNativeChat/blob/main/contributingGuides/CONTRIBUTING.md) for onboarding and email contributors@expensi…
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Problem: Users often get notifications from Expensify and never log in. We know this happens, but we don’t know how often it happens because we don’t track it. Thus, we don’t know how big of a problem…
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https://github.com/Yzichen/FlashOCC/blob/d64804d7bf4178b1a79284f50f53c1bbf79dd1aa/projects/mmdet3d_plugin/core/evaluation/occ_metrics.py#L94
作者您好,
请教下,repo中的metric计算,在计统计直方图之前,并没有将free类进行过滤,而是进行了完整的…
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IoU metric: bbox
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = -1.000
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = -1.000
Average Precision…
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If you haven’t already, check out our [contributing guidelines](https://github.com/Expensify/ReactNativeChat/blob/main/contributingGuides/CONTRIBUTING.md) for onboarding and email contributors@expensi…
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IOU快到 80了,thanks
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In most referring papers for example UIUNet, they use BCE loss for optimization. Why you choose to use soft-IoU loss in most models?
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1. 安装官网教程测试图像分类没有任何问题,自己测试目标识别出现问题,执行代码如下:
![微信图片_20240718103926](https://github.com/user-attachments/assets/7151813e-43dc-45c0-bdaa-b0b2dc0221a3)
加载dockers:
docker run --name paddlex -v /model_p…
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**When computing the segmentation results, the model() function is employed.**
def evaluate_model_performance(validation_loader, model, args):
# Trackers for metrics
trackers = {
"…