thank you for your code. could you tell me what the mean of this code: cd awesome-semantic-segmentation-pytorch/core/nn python setup.py build develop. and the error is occur when i run it, could you help me how to solve it?

(The code is up to date.) 1.Is the loss small enough? (It is diverging during during this time->Loss: 2.0000~0.0200) There is no change at all in accuracy in epoch 1, 10,100 or 1000. I feel that processing is done with the weight of VGG16. Is there a problem with running the python3 code with python2?

2.train.py utils->loss.py def _aux_forward(self, *inputs, **kwargs): *preds, target = tuple(inputs)<-----error *preds

Is this okay with pred? def _aux_forward(self, *inputs, **kwargs): preds, target = tuple(inputs)

Thx for your work！but I have a problem that when I run demo.py, it retrun that "from core.utils.visualize import get_color_pallete ModuleNotFoundError: No module named 'core'" I have no idea about this. Could u fix it? and when I run train.py, it's OK.

python train.py

Traceback (most recent call last): File "train.py", line 177, in trainer.train() File "train.py", line 147, in train if not args.Namespace: AttributeError: 'Namespace' object has no attribute 'Namespace' &&&&& pascal_voc.py

from utils import makedirs

cannot import name makedirs

python setup.py build develop（pytorch ==1.1.0）

2 errors detected in the compilation of "/tmp/tmpxft_000015ae_00000000-7_psa_cuda.cpp1.ii". error: command '/usr/local/cuda/bin/nvcc' failed with exit status 2

I can not setup. I saw ”error: command 'x86_64-linux-gnu-gcc' failed with exit status 1 #21” but I could not solve it

I type "python setup.py build develop" and there are some errors I can not solve them.

There is error information:

   ......
4 errors detected in the compilation of 
"C:/Users/35093/AppData/Local/Temp/tmpxft_00002d74_00000000-10_syncbn_cuda.cpp1.ii".
syncbn_cuda.cu
ninja: build stopped: subcommand failed.
Traceback (most recent call last):
  File "D:\anaconda3\envs\torch1\lib\site-packages\torch\utils\cpp_extension.py", line 1400, in _run_ninja_build
    check=True)
  File "D:\anaconda3\envs\torch1\lib\subprocess.py", line 512, in run
    output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['ninja', '-v']' returned non-zero exit status 1.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "setup.py", line 55, in <module>
    cmdclass={"build_ext": BuildExtension}
  File "D:\anaconda3\envs\torch1\lib\site-packages\setuptools\__init__.py", line 144, in setup
    return distutils.core.setup(**attrs)
  File "D:\anaconda3\envs\torch1\lib\distutils\core.py", line 148, in setup
    dist.run_commands()
  File "D:\anaconda3\envs\torch1\lib\distutils\dist.py", line 966, in run_commands
    self.run_command(cmd)
  File "D:\anaconda3\envs\torch1\lib\distutils\dist.py", line 985, in run_command
    cmd_obj.run()
  File "D:\anaconda3\envs\torch1\lib\distutils\command\build.py", line 135, in run
    self.run_command(cmd_name)
  File "D:\anaconda3\envs\torch1\lib\distutils\cmd.py", line 313, in run_command
    self.distribution.run_command(command)
  File "D:\anaconda3\envs\torch1\lib\distutils\dist.py", line 985, in run_command
    cmd_obj.run()
  File "D:\anaconda3\envs\torch1\lib\site-packages\setuptools\command\build_ext.py", line 87, in run
    _build_ext.run(self)
  File "D:\anaconda3\envs\torch1\lib\distutils\command\build_ext.py", line 340, in run
    self.build_extensions()
  File "D:\anaconda3\envs\torch1\lib\site-packages\torch\utils\cpp_extension.py", line 580, in build_extensions
    build_ext.build_extensions(self)
  File "D:\anaconda3\envs\torch1\lib\distutils\command\build_ext.py", line 449, in build_extensions
    self._build_extensions_serial()
  File "D:\anaconda3\envs\torch1\lib\distutils\command\build_ext.py", line 474, in _build_extensions_serial
    self.build_extension(ext)
  File "D:\anaconda3\envs\torch1\lib\site-packages\setuptools\command\build_ext.py", line 208, in build_extension
    _build_ext.build_extension(self, ext)
  File "D:\anaconda3\envs\torch1\lib\distutils\command\build_ext.py", line 534, in build_extension
    depends=ext.depends)
  File "D:\anaconda3\envs\torch1\lib\site-packages\torch\utils\cpp_extension.py", line 562, in win_wrap_ninja_compile
    with_cuda=with_cuda)
  File "D:\anaconda3\envs\torch1\lib\site-packages\torch\utils\cpp_extension.py", line 1140, in _write_ninja_file_and_compile_objects
    error_prefix='Error compiling objects for extension')
  File "D:\anaconda3\envs\torch1\lib\site-packages\torch\utils\cpp_extension.py", line 1413, in _run_ninja_build
    raise RuntimeError(message)
RuntimeError: Error compiling objects for extension

my pc System: Win10 Python: 3.7.7 pytorch: 1.5.0 cudatoolkit : 10.1.243 cudnn: 7.6.5

Can anyone help me? Thanks~

it occurs this error when I run train.py

Traceback (most recent call last): File "scripts/train.py", line 17, in from core.data.dataloader import get_segmentation_dataset File "/mnt/v-yuxzho/code/awesome-semantic-segmentation-pytorch-master/core/init.py", line 1, in from . import nn, models, utils, data File "/mnt/v-yuxzho/code/awesome-semantic-segmentation-pytorch-master/core/nn/init.py", line 2, in from .sync_bn.syncbn import * File "/mnt/v-yuxzho/code/awesome-semantic-segmentation-pytorch-master/core/nn/sync_bn/syncbn.py", line 17, in from .functions import * File "/mnt/v-yuxzho/code/awesome-semantic-segmentation-pytorch-master/core/nn/sync_bn/functions.py", line 15, in from core.nn.sync_bn import lib File "/mnt/v-yuxzho/code/awesome-semantic-segmentation-pytorch-master/core/nn/sync_bn/lib/init.py", line 19, in build_directory=gpu_path, verbose=False) File "/mnt/yueshangGu/Apps/anaconda3/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 645, in load is_python_module) File "/mnt/yueshangGu/Apps/anaconda3/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 825, in _jit_compile return _import_module_from_library(name, build_directory, is_python_module) File "/mnt/yueshangGu/Apps/anaconda3/lib/python3.7/site-packages/torch/utils/cpp_extension.py", line 968, in _import_module_from_library return imp.load_module(module_name, file, path, description) File "/mnt/yueshangGu/Apps/anaconda3/lib/python3.7/imp.py", line 242, in load_module return load_dynamic(name, filename, file) File "/mnt/yueshangGu/Apps/anaconda3/lib/python3.7/imp.py", line 342, in load_dynamic return _load(spec) ImportError: /mnt/v-yuxzho/code/awesome-semantic-segmentation-pytorch-master/core/nn/sync_bn/lib/gpu/sync_gpu.so: undefined symbol: _Z23LeakyRelu_Backward_CUDAN2at6TensorES0_f

hi,thank you for your code,now I want to train my own data by pspnet。 this is my first time to use pythorch, and I have added my own data.py in dataloader file. I don't know why pa is always 1.00 and miou is 0.5. Could you give me a hand? thank you very much.

Hi, @Tramac : I use command as follow:

CUDA_VISIBLE_DEVICES=4,5,6,7 python train.py --model psp --backbone resnet50 --dataset coco

then i got error

loading annotations into memory...
Done (t=2.22s)
creating index...
index created!
Starting Epoch: 0, Total Epochs: 60
Traceback (most recent call last):
  File "train.py", line 248, in <module>
    trainer.train()
  File "train.py", line 183, in train
    loss = self.criterion(outputs, targets)
  File "/home/luqi/anaconda3/envs/pytorch-1.0/lib/python3.6/site-packages/torch/nn/modules/module.py", line 489, in __call__
    result = self.forward(*input, **kwargs)
  File "/data/luqi/guojin/codes/awesome-semantic-segmentation-pytorch/core/utils/parallel.py", line 81, in forward
    outputs = criterion_parallel_apply(replicas, inputs, targets, kwargs)
  File "/data/luqi/guojin/codes/awesome-semantic-segmentation-pytorch/core/utils/parallel.py", line 163, in criterion_parallel_apply
    raise output
  File "/data/luqi/guojin/codes/awesome-semantic-segmentation-pytorch/core/utils/parallel.py", line 139, in _worker
    output = module(*(list(input) + [target]), **kwargs)
  File "/home/luqi/anaconda3/envs/pytorch-1.0/lib/python3.6/site-packages/torch/nn/modules/module.py", line 489, in __call__
    result = self.forward(*input, **kwargs)
  File "/data/luqi/guojin/codes/awesome-semantic-segmentation-pytorch/core/nn/loss.py", line 32, in forward
    return super(MixSoftmaxCrossEntropyLoss, self).forward(*inputs)
TypeError: forward() takes 3 positional arguments but 4 were given

I dont quite understand what it means. Can you help me?

thanks for your help I just finished training and got the psanet model,then I just wanna run demo.py an error occurred ,can you help me to fix it again ,by the way os:win10 cuda10 pytorch1.1 C:\Users\123\Anaconda3\python.exe E:/awesome-semantic-segmentation-pytorch-master/awesome-semantic-segmentation-pytorch-master/scripts/demo.py C:\Users\123/.torch/models\psanet_resnet50_pascal_voc.pth Finished loading model! Traceback (most recent call last): File "E:/awesome-semantic-segmentation-pytorch-master/awesome-semantic-segmentation-pytorch-master/scripts/demo.py", line 58, in demo(args) File "E:/awesome-semantic-segmentation-pytorch-master/awesome-semantic-segmentation-pytorch-master/scripts/demo.py", line 49, in demo output = model(images) File "C:\Users\123\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 493, in call result = self.forward(*input, **kwargs) File "E:\awesome-semantic-segmentation-pytorch-master\awesome-semantic-segmentation-pytorch-master\core\models\psanet.py", line 48, in forward x = self.head(c4) File "C:\Users\123\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 493, in call result = self.forward(*input, **kwargs) File "E:\awesome-semantic-segmentation-pytorch-master\awesome-semantic-segmentation-pytorch-master\core\models\psanet.py", line 72, in forward global_feature = self.psa(x) File "C:\Users\123\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 493, in call result = self.forward(*input, **kwargs) File "E:\awesome-semantic-segmentation-pytorch-master\awesome-semantic-segmentation-pytorch-master\core\models\psanet.py", line 88, in forward collect_fm = self.collect_attention(x) File "C:\Users\123\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 493, in call result = self.forward(*input, **kwargs) File "E:\awesome-semantic-segmentation-pytorch-master\awesome-semantic-segmentation-pytorch-master\core\models\psanet.py", line 110, in forward fm = torch.bmm(reduce_x, torch.softmax(attention, dim=1)) RuntimeError: invalid argument 6: wrong matrix size at C:/w/1/s/windows/pytorch/aten/src\THC/generic/THCTensorMathBlas.cu:494

Process finished with exit code 1

hello, I run it on pytorch1.0.1 python3.5, but it has some problem with import models. when I run python ade20k.py --download-dir ./datasets/ade, I got "ImportError: No module named 'utils'" How should I solve it? Thank you.

When I try to reimplement the DenseASPP, I refer to both the official code and this repo, but when it comes to DenseASPP head, I notice the order of conv and norm in DenseASPP block is different.

In official code, it's norm->relu->conv->norm->relu->conv, in this repo, it's conv->norm->relu->conv->norm->relu.

Just the preact form of conv and postact form of convolution, is that mean the postact form performs better in semantic segmentation after your experiment?

I want to communicate with people, and learn about how to improve the precision.

and recently, I run some models, and I got a great precision score. When I try to repro it but failed.

In it's current state, you cannot convert CGNet to torchscript using torch.jit.script. This is due to how torchscript handles variable resolution. I have changed some of the control flow in forward and I have also modified the constructor of ContextGuidedBlock slightly to fix these problems. This will be useful for those who want to compile their model using TensoRT for embedded devices.

I have trained a model on pytorch1.3. And when I applied the trained model on pytroch1.5 or the newer version to test the same test data, the performance dropped by half. The evaluation indicators used for testing are F1-score and IOU.