问题描述
我想使用自定义翻转。对于我的用例，镜像翻转没有意义：
def _dihedral_affine(k:partial(random.choice,[0,3,5,6])):
"Randomly flip `x` image based on `k`."
x = -1 if k&1 else 1
y = -1 if k&2 else 1
if k&4: return [[0,x,0.],[y,0],1.]]
return [[x,y,1.]]
dihedral_affine = TfmAffine(_dihedral_affine)
additional_aug = [dihedral_affine()]
tfms = get_transforms(do_flip=False,xtra_tfms=additional_aug)
data = ImageDataBunch.from_df("../pathData",df_ground,valid_pct=0.2,label_col=1,size=224,ds_tfms=tfms,bs=64)
learn = cnn_learner(data,models.resnet34,metrics=[accuracy])
learn.lr_find()
我有这个错误（我使用的是 fastai 1.0.60，torch 1.3.1+cpu torchvision 0.4.2+cpu，python 3.6.12。）：
LR Finder is complete,type {learner_name}.recorder.plot() to see the graph.
---------------------------------------------------------------------------
Empty Traceback (most recent call last)
~\Anaconda3\envs\env_fastai_v1\lib\site-packages\torch\utils\data\DataLoader.py in _try_get_data(self,timeout)
723 try:
--> 724 data = self._data_queue.get(timeout=timeout)
725 return (True,data)
~\Anaconda3\envs\env_fastai_v1\lib\multiprocessing\queues.py in get(self,block,timeout)
104 if not self._poll(timeout):
--> 105 raise Empty
106 elif not self._poll():
Empty:
During handling of the above exception,another exception occurred:
RuntimeError Traceback (most recent call last)
<ipython-input-26-d81c6bd29d71> in <module>
----> 1 learn.lr_find()
~\Anaconda3\envs\env_fastai_v1\lib\site-packages\fastai\train.py in lr_find(learn,start_lr,end_lr,num_it,stop_div,wd)
39 cb = LRFinder(learn,stop_div)
40 epochs = int(np.ceil(num_it/len(learn.data.train_dl)))
---> 41 learn.fit(epochs,callbacks=[cb],wd=wd)
42
43 def to_fp16(learn:Learner,loss_scale:float=None,max_noskip:int=1000,dynamic:bool=True,clip:float=None,~\Anaconda3\envs\env_fastai_v1\lib\site-packages\fastai\basic_train.py in fit(self,epochs,lr,wd,callbacks)
198 else: self.opt.lr,self.opt.wd = lr,wd
199 callbacks = [cb(self) for cb in self.callback_fns + listify(defaults.extra_callback_fns)] + listify(callbacks)
--> 200 fit(epochs,self,metrics=self.metrics,callbacks=self.callbacks+callbacks)
201
202 def create_opt(self,lr:Floats,wd:Floats=0.)->None:
~\Anaconda3\envs\env_fastai_v1\lib\site-packages\fastai\basic_train.py in fit(epochs,learn,callbacks,metrics)
97 cb_handler.set_dl(learn.data.train_dl)
98 cb_handler.on_epoch_begin()
---> 99 for xb,yb in progress_bar(learn.data.train_dl,parent=pbar):
100 xb,yb = cb_handler.on_batch_begin(xb,yb)
101 loss = loss_batch(learn.model,xb,yb,learn.loss_func,learn.opt,cb_handler)
~\Anaconda3\envs\env_fastai_v1\lib\site-packages\fastprogress\fastprogress.py in __iter__(self)
45 except Exception as e:
46 self.on_interrupt()
---> 47 raise e
48
49 def update(self,val):
~\Anaconda3\envs\env_fastai_v1\lib\site-packages\fastprogress\fastprogress.py in __iter__(self)
39 if self.total != 0: self.update(0)
40 try:
---> 41 for i,o in enumerate(self.gen):
42 if i >= self.total: break
43 yield o
~\Anaconda3\envs\env_fastai_v1\lib\site-packages\fastai\basic_data.py in __iter__(self)
73 def __iter__(self):
74 "Process and returns items from `DataLoader`."
---> 75 for b in self.dl: yield self.proc_batch(b)
76
77 @classmethod
~\Anaconda3\envs\env_fastai_v1\lib\site-packages\torch\utils\data\DataLoader.py in __next__(self)
802
803 assert not self._shutdown and self._tasks_outstanding > 0
--> 804 idx,data = self._get_data()
805 self._tasks_outstanding -= 1
806
~\Anaconda3\envs\env_fastai_v1\lib\site-packages\torch\utils\data\DataLoader.py in _get_data(self)
769 else:
770 while True:
--> 771 success,data = self._try_get_data()
772 if success:
773 return data
~\Anaconda3\envs\env_fastai_v1\lib\site-packages\torch\utils\data\DataLoader.py in _try_get_data(self,timeout)
735 if len(Failed_workers) > 0:
736 pids_str = ','.join(str(w.pid) for w in Failed_workers)
--> 737 raise RuntimeError('DataLoader worker (pid(s) {}) exited unexpectedly'.format(pids_str))
738 if isinstance(e,queue.Empty):
739 return (False,None)
RuntimeError: DataLoader worker (pid(s) 19652,19132,27668,1436,5696,5340,3828,26140) exited unexpectedly
我看过这个答案，但对我没有帮助How to get add aditional transform to get_transform in fastai?
如何让它发挥作用？
解决方法
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