PaddleSeg
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Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Mat...
paddlepaddle-gpu 2.3.0.post110 run errror ``` File "/data/PaddleSeg-2.5/paddleseg/core/train.py", line 204, in train logits_list = ddp_model(images) if nranks > 1 else model(images) File "/data/anaconda3/envs/paddle/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py", line 930, in __call__ return self._dygraph_call_func(*inputs, **kwargs) File...
欢迎您反馈PaddleSeg使用问题,辛苦您提供以下信息,方便我们快速定位和解决问题: 1. PaddleSeg版本:无 2. PaddlePaddle版本:PaddlePaddle 2.3.0 3. 操作系统信息:Windows10 4. Python版本号:Python3.6 5. CUDA/cuDNN版本:CUDA10.2/cuDNN 7.6.5 6. 完整的代码:(若修改过原代码,请提供修改前后代码对比) 7. 详细的错误信息、相关log:Traceback (most recent call last): File "G:/学习/飞桨学习课程/语义分割/case_pet_seg/Unet.py", line 163, in batch_size=2) File "C:\Program Files\Python36\lib\site-packages\paddle\hapi\model.py",...
在使用自己数据进行训练的时候,发现报错 [Hint: Expected labels_dims[axis] == 1UL, but received labels_dims[axis]:3 != 1UL:1.] 猜测是label图片读取的时候,通道数为3,查了下dataset.py和transforms.py的代码,在Compose这个类中,关于label图片的读取是 label = np.asarray(Image.open(label)) 改成 label = cv2.imwrite(label, cv2.IMREAD_GRAYSCALE) 此时报错解除,但不确定是否有效 不知道是我的图片的问题还是哪里不对

--- 欢迎您反馈PaddleSeg使用问题,辛苦您提供以下信息,方便我们快速定位和解决问题: 1. PaddleSeg版本:(,PaddleSeg release/2.5) 2. PaddlePaddle版本:(PaddlePaddle 2.3.0_GPU) 3. 操作系统信息:(Linux) 4. Python版本号:(Python3.7) 5. CUDA/cuDNN版本:( 如CUDA10.2/cuDNN 8.1) 训练模型出错:   用deploy/python/infer.py推理模型出错:  
README_CN.md中没有找到明确的关于transforms内容和写法的说明,希望可以补充或者提供相关介绍页面。
Hi! Thanks for making this code available. It would be great to be able to run inference for segmentation and matting in c++, is this possible? Or planned for the...
Thanks for having the EISEG annotation tool which i felt was really useful! I have one question regarding the tool. Will there be any feature for us to pre-load annotations...
请问paddleseg如何统计模型的flops和params 我原来直接使用paddle.flops统计paddleclas里的模型是没问题的,但统计paddleseg模型时报错 "Your model must be an instance of paddle.nn.Layer or paddle.static.Program."
Hi, After I trained my UNET I would like to get the results of Dice, Iou,Kappa etc. for the test data. But unfortunately I can not achieve this. The model...