Traceback (most recent call last):


 "/home/sk/PaddleDetection/ppdet/data/reader.py", line 46, in __call__

data = f(data, ctx)


 "/home/sk/PaddleDetection/ppdet/data/transform/operators.py", line 1753, in __call__

canvas[y:y + height, x:x + width, :] = img.astype(np.uint8)
ValueError: could not broadcast input array from shape (608,608,3) into shape (4496,3000,3)

Traceback (most recent call last):


 "/home/oracle/DeepFaceLab/mainscripts/Trainer.py", line 41, in trainerThread

**in_options)


 "/home/oracle/DeepFaceLab/models/ModelBase.py", line 108, in __init__

self.onInitialize(**in_options)


 "/home/oracle/DeepFaceLab/models/Model_AVATAR/Model.py", line 31, in onInitialize

self.encoder64.load_weights
(self.get_strpath_storage_for_file(self.encoder64H5))


 "/home/oracle/anaconda3/envs/deepfacelab/lib/python3.6/site-packages/keras/engine/topology.py", line 2667, in load_weights

f, self.layers, reshape=reshape)


 "/home/oracle/anaconda3/envs/deepfacelab/lib/python3.6/site-packages/keras/engine/topology.py", line 3365, in load_weights_from_hdf5_group

str(len(filtered_layers)) + ' layers.')
ValueError: You are trying to load a weight file containing 1 layers into a model with 9 layers.
