Getting pickle error

[moo-joshua]

Hi, I am getting this weird pickle error, any ideas on how to fix it? I was able to download the pretrained weights and tried to run the python train.py file (with all the options as specified in the main page)

Traceback (most recent call last): File "C:\Users\joshu\OneDrive\Desktop\Lightpoint\pose_estimation\ImageTools\posenet-pytorch\train.py", line 33, in <module> Traceback (most recent call last): File "<string>", line 1, in <module> for i, data in enumerate(dataset): File "C:\Users\joshu\OneDrive\Desktop\Lightpoint\pose_estimation\ImageTools\posenet-pytorch\data\custom_dataset_data_loader.py", line 43, in __iter__ File "C:\Users\joshu\anaconda3\envs\arvis\lib\multiprocessing\spawn.py", line 116, in spawn_main for i, data in enumerate(self.dataloader): File "C:\Users\joshu\anaconda3\envs\arvis\lib\site-packages\torch\utils\data\dataloader.py", line 438, in __iter__ exitcode = _main(fd, parent_sentinel) return self._get_iterator() File "C:\Users\joshu\anaconda3\envs\arvis\lib\multiprocessing\spawn.py", line 126, in _main File "C:\Users\joshu\anaconda3\envs\arvis\lib\site-packages\torch\utils\data\dataloader.py", line 386, in _get_iterator return _MultiProcessingDataLoaderIter(self) self = reduction.pickle.load(from_parent) File "C:\Users\joshu\anaconda3\envs\arvis\lib\site-packages\torch\utils\data\dataloader.py", line 1039, in __init__ EOFError: Ran out of input w.start() File "C:\Users\joshu\anaconda3\envs\arvis\lib\multiprocessing\process.py", line 121, in start self._popen = self._Popen(self) File "C:\Users\joshu\anaconda3\envs\arvis\lib\multiprocessing\context.py", line 224, in _Popen return _default_context.get_context().Process._Popen(process_obj) File "C:\Users\joshu\anaconda3\envs\arvis\lib\multiprocessing\context.py", line 336, in _Popen return Popen(process_obj) File "C:\Users\joshu\anaconda3\envs\arvis\lib\multiprocessing\popen_spawn_win32.py", line 93, in __init__ reduction.dump(process_obj, to_child) File "C:\Users\joshu\anaconda3\envs\arvis\lib\multiprocessing\reduction.py", line 60, in dump ForkingPickler(file, protocol).dump(obj) AttributeError: Can't pickle local object 'get_posenet_transform.<locals>.<lambda>'

[splinexuan]

Hi, I even can't download the pretrained weights with wget .. How can get the googlenet.pickle ?...

[hazirbas]

Hi, @splinexuan

You can find it in the README:
https://github.com/hazirbas/poselstm-pytorch?tab=readme-ov-file#initialize-the-network-with-the-pretrained-googlenet-trained-on-the-places-dataset