freedomwebtech
commented
1 day ago change imgsz=640
On Thu, 26 Sep, 2024, 12:21 pm Trooper-Pankaj, @.***> wrote:
I followed the instructions ditto without any exception, however,
when I run this cell %cd {HOME}
!yolo task=detect mode=train model=yolov10s.pt data=/content/datasets/freedomtech/data.yaml epochs=100 imgsz=800 plots=True
I get following error
Starting training for 100 epochs...
Epoch GPU_mem box_om cls_om dfl_om box_oo cls_oo dfl_oo Instances Size
0% 0/7 [00:00 https://www.youtube.com/watch?v=rjs0YY5lPGA<?, ?it/s] Traceback (most recent call last): File "/usr/local/bin/yolo", line 8, in sys.exit(entrypoint()) File "/usr/local/lib/python3.10/dist-packages/ultralytics/cfg/init.py", line 594, in entrypoint getattr(model, mode)(*overrides) # default args from model File "/usr/local/lib/python3.10/dist-packages/ultralytics/engine/model.py", line 657, in train self.trainer.train() File "/usr/local/lib/python3.10/dist-packages/ultralytics/engine/trainer.py", line 213, in train self._do_train(world_size) File "/usr/local/lib/python3.10/dist-packages/ultralytics/engine/trainer.py", line 363, in _do_train for i, batch in pbar: File "/usr/local/lib/python3.10/dist-packages/tqdm/std.py", line 1181, in iter for obj in iterable: File "/usr/local/lib/python3.10/dist-packages/ultralytics/data/build.py", line 49, in iter yield next(self.iterator) File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py", line 630, in next* data = self._next_data() File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py", line 1344, in _next_data return self._process_data(data) File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py", line 1370, in
process_data data.reraise() File "/usr/local/lib/python3.10/dist-packages/torch/utils.py", line 706, in reraise raise exception TypeError: Caught TypeError in DataLoader worker process 0. Original Traceback (most recent call last): File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/_utils/worker.py", line 309, in _worker_loop data = fetcher.fetch(index) # type: ignore[possibly-undefined] File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/_utils/fetch.py", line 52, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/_utils/fetch.py", line 52, in data = [self.dataset[idx] for idx in possibly_batched_index] File "/usr/local/lib/python3.10/dist-packages/ultralytics/data/base.py", line 253, in getitem return self.transforms(self.get_image_and_label(index)) File "/usr/local/lib/python3.10/dist-packages/ultralytics/data/augment.py", line 74, in call data = t(data) File "/usr/local/lib/python3.10/dist-packages/ultralytics/data/augment.py", line 866, in call new = self.transform(image=im, bboxes=bboxes, class_labels=cls) # transformed File "/usr/local/lib/python3.10/dist-packages/albumentations/core/composition.py", line 334, in call self.preprocess(data) File "/usr/local/lib/python3.10/dist-packages/albumentations/core/composition.py", line 368, in preprocess p.preprocess(data) File "/usr/local/lib/python3.10/dist-packages/albumentations/core/utils.py", line 125, in preprocess data = self.add_label_fields_to_data(data) File "/usr/local/lib/python3.10/dist-packages/albumentations/core/utils.py", line 185, in add_label_fields_to_data encoded_labels = encoder.fit_transform(data[label_field]) File "/usr/local/lib/python3.10/dist-packages/albumentations/core/utils.py", line 60, in fit_transform self.fit(y) File "/usr/local/lib/python3.10/dist-packages/albumentations/core/utils.py", line 48, in fit unique_labels = sorted(set(y)) TypeError: unhashable type: 'numpy.ndarray'
please help
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Trooper-Pankaj
I followed the instructions ditto without any exception, however,
when I run this cell %cd {HOME}
!yolo task=detect mode=train model=yolov10s.pt data=/content/datasets/freedomtech/data.yaml epochs=100 imgsz=800 plots=True
I get following error
Starting training for 100 epochs...
0% 0/7 [00:00<?, ?it/s] Traceback (most recent call last): File "/usr/local/bin/yolo", line 8, in
sys.exit(entrypoint())
File "/usr/local/lib/python3.10/dist-packages/ultralytics/cfg/init.py", line 594, in entrypoint
getattr(model, mode)(**overrides) # default args from model
File "/usr/local/lib/python3.10/dist-packages/ultralytics/engine/model.py", line 657, in train
self.trainer.train()
File "/usr/local/lib/python3.10/dist-packages/ultralytics/engine/trainer.py", line 213, in train
self._do_train(world_size)
File "/usr/local/lib/python3.10/dist-packages/ultralytics/engine/trainer.py", line 363, in _do_train
for i, batch in pbar:
File "/usr/local/lib/python3.10/dist-packages/tqdm/std.py", line 1181, in iter
for obj in iterable:
File "/usr/local/lib/python3.10/dist-packages/ultralytics/data/build.py", line 49, in iter
yield next(self.iterator)
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py", line 630, in next
data = self._next_data()
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py", line 1344, in _next_data
return self._process_data(data)
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py", line 1370, in _processdata
data.reraise()
File "/usr/local/lib/python3.10/dist-packages/torch/utils.py", line 706, in reraise
raise exception
TypeError: Caught TypeError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/_utils/worker.py", line 309, in _worker_loop
data = fetcher.fetch(index) # type: ignore[possibly-undefined]
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/_utils/fetch.py", line 52, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/_utils/fetch.py", line 52, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/usr/local/lib/python3.10/dist-packages/ultralytics/data/base.py", line 253, in getitem
return self.transforms(self.get_image_and_label(index))
File "/usr/local/lib/python3.10/dist-packages/ultralytics/data/augment.py", line 74, in call
data = t(data)
File "/usr/local/lib/python3.10/dist-packages/ultralytics/data/augment.py", line 866, in call
new = self.transform(image=im, bboxes=bboxes, class_labels=cls) # transformed
File "/usr/local/lib/python3.10/dist-packages/albumentations/core/composition.py", line 334, in call
self.preprocess(data)
File "/usr/local/lib/python3.10/dist-packages/albumentations/core/composition.py", line 368, in preprocess
p.preprocess(data)
File "/usr/local/lib/python3.10/dist-packages/albumentations/core/utils.py", line 125, in preprocess
data = self.add_label_fields_to_data(data)
File "/usr/local/lib/python3.10/dist-packages/albumentations/core/utils.py", line 185, in add_label_fields_to_data
encoded_labels = encoder.fit_transform(data[label_field])
File "/usr/local/lib/python3.10/dist-packages/albumentations/core/utils.py", line 60, in fit_transform
self.fit(y)
File "/usr/local/lib/python3.10/dist-packages/albumentations/core/utils.py", line 48, in fit
unique_labels = sorted(set(y))
TypeError: unhashable type: 'numpy.ndarray'
please help