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DeepDarts is the first deep learning-based automatic scoring system for steel-tip darts. It predicts dart scores from a single image taken from any camera angle.
Hi there,
is there a chance to get a trained model ?
best
Hi,
How can this be used to predict from an image taken by me?
Kind regards
Getting an error running the mentioned train command in the README.md
file. Command: python train.py --cfg deepdarts_d1
(deep-darts) C:\Users\phroz\development\deep-darts>python train.py --cfg deepdarts_d1
Running on CPU
Number of accelerators: 1
WARNING:tensorflow:Skipping loading of weights for layer PANetTiny due to mismatch in shape ((1, 1, 512, 30) vs (1, 1, 512, 255)).
WARNING:tensorflow:Skipping loading of weights for layer PANetTiny due to mismatch in shape ((30,) vs (255,)).
WARNING:tensorflow:Skipping loading of weights for layer PANetTiny due to mismatch in shape ((1, 1, 256, 30) vs (1, 1, 256, 255)).
WARNING:tensorflow:Skipping loading of weights for layer PANetTiny due to mismatch in shape ((30,) vs (255,)).
Traceback (most recent call last):
File "train.py", line 152, in <module>
yolo = train(cfg, strategy)
File "train.py", line 99, in train
batch_size=cfg.train.batch_size * strategy.num_replicas_in_sync)
File "C:\Users\phroz\development\deep-darts\dataloader.py", line 258, in load_tfds
data = get_splits(cfg.data.labels_path, cfg.data.dataset, split)
File "C:\Users\phroz\development\deep-darts\dataloader.py", line 34, in get_splits
df = pd.read_pickle(path)
File "C:\Users\phroz\.conda\envs\deep-darts\lib\site-packages\pandas\io\pickle.py", line 187, in read_pickle
return pc.load(f, encoding=None)
File "C:\Users\phroz\.conda\envs\deep-darts\lib\site-packages\pandas\compat\pickle_compat.py", line 249, in load
return up.load()
File "C:\Users\phroz\.conda\envs\deep-darts\lib\pickle.py", line 1085, in load
dispatch[key[0]](self)
File "C:\Users\phroz\.conda\envs\deep-darts\lib\pickle.py", line 1382, in load_stack_global
self.append(self.find_class(module, name))
File "C:\Users\phroz\.conda\envs\deep-darts\lib\site-packages\pandas\compat\pickle_compat.py", line 189, in find_class
return super().find_class(module, name)
File "C:\Users\phroz\.conda\envs\deep-darts\lib\pickle.py", line 1425, in find_class
return _getattribute(sys.modules[module], name)[0]
File "C:\Users\phroz\.conda\envs\deep-darts\lib\pickle.py", line 299, in _getattribute
.format(name, obj)) from None
AttributeError: Can't get attribute 'new_block' on <module 'pandas.core.internals.blocks' from 'C:\\Users\\phroz\\.conda\\envs\\deep-darts\\lib\\site-packages\\pandas\\core\\internals\\blocks.py'>
Could u explain how to detect with any image?
Could you tell in more detail about the flow from scratch (data preparation) like the keypoint detection one?
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