djfijj
commented
2 years ago Make sure there are no empty labels in your dataset and the path is in English
Open anusha657 opened 3 years ago
djfijj
commented
2 years ago Make sure there are no empty labels in your dataset and the path is in English
Hi , I am performing sparsity training using yolov4 weights . Command Used - ! python3 train.py --cfg /content/darknet/cfg/yolov4.cfg --data /content/objcoco.data --weights /content/darknet/weights/yolov4.weights --epochs 200 --batch-size 32 -sr --s 0.001 --prune 1
ERROR -
Namespace(accumulate=2, adam=False, arc='defaultpw', batch_size=32, bucket='', cache_images=False, cfg='/content/darknet/cfg/yolov4.cfg', data='/content/objcoco.data', device='', epochs=200, evolve=False, img_size=416, img_weights=False, multi_scale=False, name='', nosave=False, notest=False, prebias=False, prune=1, rect=False, resume=False, s=0.001, sr=True, t_cfg='', t_weights='', transfer=False, var=None, weights='/content/darknet/weights/yolov4.weights') Using CUDA device0 _CudaDeviceProperties(name='Tesla T4', total_memory=15079MB)
2020-12-24 06:17:08.252129: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.10.1 loaded weights from /content/darknet/weights/yolov4.weights
shortcut sparse training Reading labels (11 found, 3 missing, 0 empty for 14 images): 100% 14/14 [00:00<00:00, 14315.03it/s] Model Summary: 327 layers, 6.43631e+07 parameters, 6.43631e+07 gradients Starting training for 200 epochs...
0% 0/1 [00:00<?, ?it/s]Traceback (most recent call last): File "train.py", line 542, in
train() # train normally
File "train.py", line 308, in train
for i, (imgs, targets, paths, _) in pbar: # batch -------------------------------------------------------------
File "/usr/local/lib/python3.6/dist-packages/tqdm/std.py", line 1104, in iter
for obj in iterable:
File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py", line 435, in next
data = self._next_data()
File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py", line 1085, in _next_data
return self._process_data(data)
File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py", line 1111, in _process_data
data.reraise()
File "/usr/local/lib/python3.6/dist-packages/torch/_utils.py", line 428, in reraise
raise self.exc_type(msg)
UnboundLocalError: Caught UnboundLocalError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/_utils/worker.py", line 198, in _worker_loop
data = fetcher.fetch(index)
File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/_utils/fetch.py", line 44, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/content/yolov4/yolov3-channel-and-layer-pruning/utils/datasets.py", line 416, in getitem
img, labels = load_mosaic(self, index)
File "/content/yolov4/yolov3-channel-and-layer-pruning/utils/datasets.py", line 594, in load_mosaic
labels4.append(labels)
UnboundLocalError: local variable 'labels' referenced before assignment
0% 0/1 [00:00<?, ?it/s]