yxgeee
commented
5 years ago Maybe you can refer to https://github.com/yxgeee/FD-GAN/issues/8#issue-378722851
Closed Haoru closed 5 years ago
yxgeee
commented
5 years ago Maybe you can refer to https://github.com/yxgeee/FD-GAN/issues/8#issue-378722851
Haoru
commented
5 years ago Thinks for your answer. The problem has been solved. I want to use my own dataset, can I change the pose to openpose? @yxgeee
yxgeee
commented
5 years ago You can use openpose to generate landmarks for your dataset
Traceback (most recent call last): File "baseline.py", line 201, in
main(parser.parse_args())
File "baseline.py", line 118, in main
top1, mAP = evaluator.evaluate(test_loader, dataset.query, dataset.gallery, rerank_topk=100, dataset=args.dataset)
File "/media/ouc/4TB/zhr/FD-GAN/reid/evaluators.py", line 193, in evaluate
features, = extract_features(self.base_model, data_loader)
File "/media/ouc/4T_B/zhr/FD-GAN/reid/evaluators.py", line 55, in extractfeatures
for i, (imgs, fnames, pids, ) in enumerate(data_loader):
File "/home/ouc/miniconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 330, in next
idx, batch = self._get_batch()
File "/home/ouc/miniconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 309, in _get_batch
return self.data_queue.get()
File "/home/ouc/miniconda3/lib/python3.6/multiprocessing/queues.py", line 337, in get
return _ForkingPickler.loads(res)
File "/home/ouc/miniconda3/lib/python3.6/site-packages/torch/multiprocessing/reductions.py", line 151, in rebuild_storage_fd
fd = df.detach()
File "/home/ouc/miniconda3/lib/python3.6/multiprocessing/resource_sharer.py", line 58, in detach
return reduction.recv_handle(conn)
File "/home/ouc/miniconda3/lib/python3.6/multiprocessing/reduction.py", line 182, in recv_handle
return recvfds(s, 1)[0]
File "/home/ouc/miniconda3/lib/python3.6/multiprocessing/reduction.py", line 161, in recvfds
len(ancdata))
RuntimeError: received 0 items of ancdata
Exception ignored in: <bound method _DataLoaderIter.del of <torch.utils.data.dataloader._DataLoaderIter object at 0x7fed741f2080>>
Traceback (most recent call last):
File "/home/ouc/miniconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 399, in del
self._shutdown_workers()
File "/home/ouc/miniconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 378, in _shutdown_workers
self.worker_result_queue.get()
File "/home/ouc/miniconda3/lib/python3.6/multiprocessing/queues.py", line 337, in get
return _ForkingPickler.loads(res)
File "/home/ouc/miniconda3/lib/python3.6/site-packages/torch/multiprocessing/reductions.py", line 151, in rebuild_storage_fd
fd = df.detach()
File "/home/ouc/miniconda3/lib/python3.6/multiprocessing/resource_sharer.py", line 57, in detach
with _resource_sharer.get_connection(self._id) as conn:
File "/home/ouc/miniconda3/lib/python3.6/multiprocessing/resource_sharer.py", line 87, in get_connection
c = Client(address, authkey=process.current_process().authkey)
File "/home/ouc/miniconda3/lib/python3.6/multiprocessing/connection.py", line 487, in Client
c = SocketClient(address)
File "/home/ouc/miniconda3/lib/python3.6/multiprocessing/connection.py", line 614, in SocketClient
s.connect(address)
ConnectionRefusedError: [Errno 111] Connection refused
I have encountered this problem during the training and testing process in stage I. Can you give me some help?