Open RMobina opened 3 years ago
Hi RMobina, which pipeline_config file did you use for run_training.py?
Hi
Hi RMobina, which pipeline_config file did you use for run_training.py?
Hi Kujason, I tried different pipline_config (for example pyramid_cars_with_aug_example) which I have this error for all of them. I could train and inference the network before but right now I got this error
Hi, Thank you for sharing your source code. When I run the run_training.py I face the following error: ssh://server@134.102.219.166:2299/home/data/miniconda3/envs/tensorflow150/bin/python3.6 -u /home/data/PycharmProjects/avod-master/run_training.py /home/data/miniconda3/envs/tensorflow150/lib/python3.6/site-packages/h5py/init.py:36: FutureWarning: Conversion of the second argument of issubdtype from
tf.app.run()
File "/home/data/miniconda3/envs/tensorflow150/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 124, in run
_sys.exit(main(argv))
File "/home/data/PycharmProjects/avod-master/run_training.py", line 94, in main
train(model_config, train_config, dataset_config)
File "/home/data/PycharmProjects/avod-master/run_training.py", line 41, in train
trainer.train(model, train_config)
File "/mnt/homedata/PycharmProjects/avod-master/avod/core/trainer.py", line 60, in train
prediction_dict = model.build()
File "/mnt/homedata/PycharmProjects/avod-master/avod/core/models/avod_model.py", line 254, in build
is_training=self._is_training)
TypeError: build() got multiple values for argument 'layers_config'
float
tonp.floating
is deprecated. In future, it will be treated asnp.float64 == np.dtype(float).type
. from ._conv import register_converters as _register_converters Traceback (most recent call last): File "/home/data/PycharmProjects/avod-master/run_training.py", line 98, inI would be grateful if help me how to solve it