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...
Thanks for your bug report. To help us solve the issue better, please provide following information: 1. PaddleSeg version: master --------------------------------------------------------------- hi, I have met a Bug, when I use...
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1. PaddleSeg version: PaddleSeg release/2.6 2. Operation system: Linux - Google Colab 3. Python version: 3.7 4. CUDA/cuDNN version: CUDA11.1/cuDNN 7.6.5 5. Additional context: There is no error in training...
pspnet 修改如下: model: type: PSPNet backbone: type: MobileNetV3_large_x1_0 pretrained: https://paddleseg.bj.bcebos.com/dygraph/backbone/mobilenetv3_large_x1_0_ssld.tar.gz backbone_indices: [1, 3] pp_out_channels: 1024 bin_sizes: [1, 2, 3, 6] enable_auxiliary_loss: True align_corners: False pretrained: null 但是效果出现了问题,出现了像素点分割散乱,是不是配置存在没有对上的问题,但是代码它能够正常训练,能看一下是哪里出现了问题嘛
为什么我的batch_cost花费的时间变长了,前几次训练的batch_cost在0.4左右,现在有时飙升到了30+, 是在同样的训练环境下训练同样的模型 
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==2.6 2. PaddlePaddle版本:(如PaddlePaddle 2.1.0) 3. 操作系统信息:Linux 4. Python版本号:Python3.6.13 5. CUDA/cuDNN版本:CUDA11.2 Traceback (most recent call last): File "/home/dell/anaconda3/envs/d2l/lib/python3.6/site-packages/paddle2onnx/op_mapper/op_mapper.py", line 119, in mapping mapper_func(graph, node, **kw) File "/home/dell/anaconda3/envs/d2l/lib/python3.6/site-packages/paddle2onnx/op_mapper/nn.py", line 186,...
espnet网络训练过程中出现了 TypeError: 'tuple' object does not support item assignment。 日志如下: 022-07-27 11:27:25 [INFO] ------------Environment Information------------- platform: Linux-5.4.0-121-generic-x86_64-with-debian-buster-sid Python: 3.6.13 |Anaconda, Inc.| (default, Jun 4 2021, 14:25:59) [GCC 7.5.0] Paddle compiled...
我想将pspnet的主干bankbone改为主干为mobnetv3网络,那么这样我是否需要修改源码,如果不需要的话,那么需要更改那个配置,谢谢!期待您的回复?
According to public papers, MaskFormer got better performance, but not appear in paddleseg. Is it possible to develop and integrate it into paddleseg? Maybe there are some implementations with pytorch...