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paddleseg 训练时 莫名其妙的被killed 能给出具体的verbose 吗
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模型导出后使用deploy/python/infer.py 预测了100张图片，total time spent(s): 2.8983，但看bisenet的论文说能有156FPS，是我模型部署出的问题，还是我理解错了156FPS的含义。
另外，我在运行deploy/python/infer.py 时发现了问题，当输入多张图像时，只输出了一张预测图像
# def _save_imgs(s…
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动态图的预测结果
![image](https://user-images.githubusercontent.com/28993936/12590…
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### 问题描述 Issue Description
我是用的docker镜像是：https://hub.docker.com/r/paddlepaddle/paddle/tags?page=1&name=cann的latest-dev-cann5.0.2.alpha005-gcc82-x86_64
但是官网只提供了基于arm架构的编译方式，如下：
https://www.paddlepad…
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Hi,sir. Thank you for release the great code. I try to use your model in my dataset. It is about optic cup and disc segmentation.The dataset has 3 classes. I rewrite `.sh`and `.json` :`,"num_classes":…
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Thanks for your issue. To help us solve the issue better, please provide following information：
1. PaddleSeg version: (PaddleSeg release/2.3)
2. PaddlePaddle version: (paddlepaddle-gpu 2.3.0)
…
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环境：win10,cuda11,paddleseg2.3,paddlex2.0,bisenetv2
模型导出命令：python export.py --config configs\quick_start/bisenet_optic_disc_512x512_1k-100000.yml --model_path output\best_model\model.pdparams --input…
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Thanks for your bug report. To help us solve the issue better, please provide following information：
1. PaddleSeg version: paddlepaddle-gpu 2.2.2
2. PaddlePaddle version: (PaddlePaddle 2.1.0)
3.…