yuqilol

> > 不经过自定义数据集，直接使用官方预训练模型的结果正常吗？ > > 是正常的 我的是不正常的，我直接用官方的aplha是没有结果的

 ![Uploading human_rgba.png…]()

@michaelowenliu 使用命令如下 python tools/predict.py --config configs/ppmattingv2/ppmattingv2-stdc1-human_512.yml --model_path checkpoint/ppmattingv2-stdc1-human_512.pdparams --image_path demo/human.jpg --save_dir ./output/results --fg_estimate True 配置文件未改动过，电脑windows cpu端，更改device为cpu之后输出结果仍旧一致。

问题一 指令：python tools/predict.py --config configs/ppmattingv2/ppmattingv2-stdc1-human_512.yml --model_path checkpoint/ppmattingv2-stdc1-human_512.pdparams --image_path demo/human.jpg --save_dir ./output/results --fg_estimate True 输出结果：2024-07-10 15:03:57 [INFO] Set device: cpu 2024-07-10 15:03:57 [INFO] Use the following config to build model model:...

 

输出结果如上

问题二新的报错内存泄漏： Traceback (most recent call last): File "/data1/home/pengyuling/paddle-seg/PaddleSeg-release-2.9/Matting/tools/train.py", line 220, in main(args) File "/data1/home/pengyuling/paddle-seg/PaddleSeg-release-2.9/Matting/tools/train.py", line 198, in main train( File "/data1/home/pengyuling/paddle-seg/PaddleSeg-release-2.9/Matting/tools/../ppmatting/core/train.py", line 307, in train metrics_data = evaluate( File "/data1/home/pengyuling/paddle-seg/PaddleSeg-release-2.9/Matting/tools/../ppmatting/core/val.py",...

怀疑是这两行的原因 2024-07-10 17:12:01 [INFO] Set device: cpu 2024-07-10 17:12:01 [INFO] Use the following config to build model

同样遇到这个问题，作者解决了吗