Hi I have a CRITICAL unexpected crash has occurred don't know what's happen can anyone help me thanks.
Code: Select all
02/01/2020 00:19:44 MainProcess _run_1 training_data _minibatch DEBUG Loading minibatch generator: (image_count: 331, side: 'a', do_shuffle: True)
02/01/2020 00:19:44 MainProcess _training_0 multithreading start DEBUG Started all threads '_run': 2
02/01/2020 00:19:44 MainProcess _training_0 _base _set_preview_feed DEBUG Setting preview feed: (side: 'a')
02/01/2020 00:19:44 MainProcess _training_0 _base _load_generator DEBUG Loading generator: a
02/01/2020 00:19:44 MainProcess _training_0 _base _load_generator DEBUG input_size: 64, output_shapes: [(64, 64, 3)]
02/01/2020 00:19:44 MainProcess _training_0 training_data __init__ DEBUG Initializing TrainingDataGenerator: (model_input_size: 64, model_output_shapes: [(64, 64, 3)], training_opts: {'alignments': {'a': 'C:\\fakes\\5\\alignments.fsa', 'b': 'C:\\fakes\\data_B\\alignments.fsa'}, 'preview_scaling': 0.5, 'warp_to_landmarks': False, 'augment_color': True, 'no_flip': False, 'pingpong': False, 'snapshot_interval': 25000, 'training_size': 256, 'no_logs': False, 'coverage_ratio': 0.6875, 'mask_type': None, 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'penalized_mask_loss': False}, landmarks: {}, masks: {}, config: {'coverage': 68.75, 'mask_type': None, 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'icnr_init': False, 'conv_aware_init': False, 'subpixel_upscaling': False, 'reflect_padding': False, 'penalized_mask_loss': True, 'loss_function': 'mae', 'learning_rate': 5e-05, 'preview_images': 2, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
02/01/2020 00:19:44 MainProcess _training_0 training_data __init__ DEBUG Initialized TrainingDataGenerator
02/01/2020 00:19:44 MainProcess _training_0 training_data minibatch_ab DEBUG Queue batches: (image_count: 331, batchsize: 2, side: 'a', do_shuffle: True, is_preview, True, is_timelapse: False)
02/01/2020 00:19:44 MainProcess _training_0 training_data __init__ DEBUG Initializing ImageAugmentation: (batchsize: 2, is_display: True, input_size: 64, output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, config: {'coverage': 68.75, 'mask_type': None, 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'icnr_init': False, 'conv_aware_init': False, 'subpixel_upscaling': False, 'reflect_padding': False, 'penalized_mask_loss': True, 'loss_function': 'mae', 'learning_rate': 5e-05, 'preview_images': 2, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
02/01/2020 00:19:44 MainProcess _training_0 training_data __init__ DEBUG Output sizes: [64]
02/01/2020 00:19:44 MainProcess _training_0 training_data __init__ DEBUG Initialized ImageAugmentation
02/01/2020 00:19:44 MainProcess _training_0 multithreading __init__ DEBUG Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
02/01/2020 00:19:44 MainProcess _training_0 multithreading __init__ DEBUG Initialized BackgroundGenerator: '_run'
02/01/2020 00:19:44 MainProcess _training_0 multithreading start DEBUG Starting thread(s): '_run'
02/01/2020 00:19:44 MainProcess _training_0 multithreading start DEBUG Starting thread 1 of 2: '_run_0'
02/01/2020 00:19:44 MainProcess _run_0 training_data _minibatch DEBUG Loading minibatch generator: (image_count: 331, side: 'a', do_shuffle: True)
02/01/2020 00:19:44 MainProcess _training_0 multithreading start DEBUG Starting thread 2 of 2: '_run_1'
02/01/2020 00:19:44 MainProcess _run_1 training_data _minibatch DEBUG Loading minibatch generator: (image_count: 331, side: 'a', do_shuffle: True)
02/01/2020 00:19:44 MainProcess _training_0 multithreading start DEBUG Started all threads '_run': 2
02/01/2020 00:19:44 MainProcess _training_0 _base _set_preview_feed DEBUG Set preview feed. Batchsize: 2
02/01/2020 00:19:44 MainProcess _training_0 _base _use_mask DEBUG False
02/01/2020 00:19:44 MainProcess _training_0 _base __init__ DEBUG Initializing Batcher: side: 'b', num_images: 105, use_mask: False, batch_size: 64, config: {'coverage': 68.75, 'mask_type': None, 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'icnr_init': False, 'conv_aware_init': False, 'subpixel_upscaling': False, 'reflect_padding': False, 'penalized_mask_loss': True, 'loss_function': 'mae', 'learning_rate': 5e-05, 'preview_images': 2, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
02/01/2020 00:19:44 MainProcess _training_0 _base _load_generator DEBUG Loading generator: b
02/01/2020 00:19:44 MainProcess _training_0 _base _load_generator DEBUG input_size: 64, output_shapes: [(64, 64, 3)]
02/01/2020 00:19:44 MainProcess _training_0 training_data __init__ DEBUG Initializing TrainingDataGenerator: (model_input_size: 64, model_output_shapes: [(64, 64, 3)], training_opts: {'alignments': {'a': 'C:\\fakes\\5\\alignments.fsa', 'b': 'C:\\fakes\\data_B\\alignments.fsa'}, 'preview_scaling': 0.5, 'warp_to_landmarks': False, 'augment_color': True, 'no_flip': False, 'pingpong': False, 'snapshot_interval': 25000, 'training_size': 256, 'no_logs': False, 'coverage_ratio': 0.6875, 'mask_type': None, 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'penalized_mask_loss': False}, landmarks: {}, masks: {}, config: {'coverage': 68.75, 'mask_type': None, 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'icnr_init': False, 'conv_aware_init': False, 'subpixel_upscaling': False, 'reflect_padding': False, 'penalized_mask_loss': True, 'loss_function': 'mae', 'learning_rate': 5e-05, 'preview_images': 2, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
02/01/2020 00:19:44 MainProcess _training_0 training_data __init__ DEBUG Initialized TrainingDataGenerator
02/01/2020 00:19:44 MainProcess _training_0 training_data minibatch_ab DEBUG Queue batches: (image_count: 105, batchsize: 64, side: 'b', do_shuffle: True, is_preview, False, is_timelapse: False)
02/01/2020 00:19:44 MainProcess _training_0 training_data __init__ DEBUG Initializing ImageAugmentation: (batchsize: 64, is_display: False, input_size: 64, output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, config: {'coverage': 68.75, 'mask_type': None, 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'icnr_init': False, 'conv_aware_init': False, 'subpixel_upscaling': False, 'reflect_padding': False, 'penalized_mask_loss': True, 'loss_function': 'mae', 'learning_rate': 5e-05, 'preview_images': 2, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
02/01/2020 00:19:44 MainProcess _training_0 training_data __init__ DEBUG Output sizes: [64]
02/01/2020 00:19:44 MainProcess _training_0 training_data __init__ DEBUG Initialized ImageAugmentation
02/01/2020 00:19:44 MainProcess _training_0 multithreading __init__ DEBUG Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
02/01/2020 00:19:44 MainProcess _training_0 multithreading __init__ DEBUG Initialized BackgroundGenerator: '_run'
02/01/2020 00:19:44 MainProcess _training_0 multithreading start DEBUG Starting thread(s): '_run'
02/01/2020 00:19:44 MainProcess _training_0 multithreading start DEBUG Starting thread 1 of 2: '_run_0'
02/01/2020 00:19:44 MainProcess _run_0 training_data _minibatch DEBUG Loading minibatch generator: (image_count: 105, side: 'b', do_shuffle: True)
02/01/2020 00:19:44 MainProcess _training_0 multithreading start DEBUG Starting thread 2 of 2: '_run_1'
02/01/2020 00:19:44 MainProcess _run_1 training_data _minibatch DEBUG Loading minibatch generator: (image_count: 105, side: 'b', do_shuffle: True)
02/01/2020 00:19:44 MainProcess _training_0 multithreading start DEBUG Started all threads '_run': 2
02/01/2020 00:19:44 MainProcess _training_0 _base _set_preview_feed DEBUG Setting preview feed: (side: 'b')
02/01/2020 00:19:44 MainProcess _training_0 _base _load_generator DEBUG Loading generator: b
02/01/2020 00:19:44 MainProcess _training_0 _base _load_generator DEBUG input_size: 64, output_shapes: [(64, 64, 3)]
02/01/2020 00:19:44 MainProcess _training_0 training_data __init__ DEBUG Initializing TrainingDataGenerator: (model_input_size: 64, model_output_shapes: [(64, 64, 3)], training_opts: {'alignments': {'a': 'C:\\fakes\\5\\alignments.fsa', 'b': 'C:\\fakes\\data_B\\alignments.fsa'}, 'preview_scaling': 0.5, 'warp_to_landmarks': False, 'augment_color': True, 'no_flip': False, 'pingpong': False, 'snapshot_interval': 25000, 'training_size': 256, 'no_logs': False, 'coverage_ratio': 0.6875, 'mask_type': None, 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'penalized_mask_loss': False}, landmarks: {}, masks: {}, config: {'coverage': 68.75, 'mask_type': None, 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'icnr_init': False, 'conv_aware_init': False, 'subpixel_upscaling': False, 'reflect_padding': False, 'penalized_mask_loss': True, 'loss_function': 'mae', 'learning_rate': 5e-05, 'preview_images': 2, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
02/01/2020 00:19:44 MainProcess _training_0 training_data __init__ DEBUG Initialized TrainingDataGenerator
02/01/2020 00:19:44 MainProcess _training_0 training_data minibatch_ab DEBUG Queue batches: (image_count: 105, batchsize: 2, side: 'b', do_shuffle: True, is_preview, True, is_timelapse: False)
02/01/2020 00:19:44 MainProcess _training_0 training_data __init__ DEBUG Initializing ImageAugmentation: (batchsize: 2, is_display: True, input_size: 64, output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, config: {'coverage': 68.75, 'mask_type': None, 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'icnr_init': False, 'conv_aware_init': False, 'subpixel_upscaling': False, 'reflect_padding': False, 'penalized_mask_loss': True, 'loss_function': 'mae', 'learning_rate': 5e-05, 'preview_images': 2, 'zoom_amount': 5, 'rotation_range': 10, 'shift_range': 5, 'flip_chance': 50, 'color_lightness': 30, 'color_ab': 8, 'color_clahe_chance': 50, 'color_clahe_max_size': 4})
02/01/2020 00:19:44 MainProcess _training_0 training_data __init__ DEBUG Output sizes: [64]
02/01/2020 00:19:44 MainProcess _training_0 training_data __init__ DEBUG Initialized ImageAugmentation
02/01/2020 00:19:44 MainProcess _training_0 multithreading __init__ DEBUG Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
02/01/2020 00:19:44 MainProcess _training_0 multithreading __init__ DEBUG Initialized BackgroundGenerator: '_run'
02/01/2020 00:19:44 MainProcess _training_0 multithreading start DEBUG Starting thread(s): '_run'
02/01/2020 00:19:44 MainProcess _training_0 multithreading start DEBUG Starting thread 1 of 2: '_run_0'
02/01/2020 00:19:44 MainProcess _run_0 training_data _minibatch DEBUG Loading minibatch generator: (image_count: 105, side: 'b', do_shuffle: True)
02/01/2020 00:19:44 MainProcess _training_0 multithreading start DEBUG Starting thread 2 of 2: '_run_1'
02/01/2020 00:19:44 MainProcess _run_0 training_data initialize DEBUG Initializing constants. training_size: 256
02/01/2020 00:19:44 MainProcess _run_1 training_data _minibatch DEBUG Loading minibatch generator: (image_count: 105, side: 'b', do_shuffle: True)
02/01/2020 00:19:44 MainProcess _training_0 multithreading start DEBUG Started all threads '_run': 2
02/01/2020 00:19:44 MainProcess _training_0 _base _set_preview_feed DEBUG Set preview feed. Batchsize: 2
02/01/2020 00:19:44 MainProcess _training_0 _base _set_tensorboard DEBUG Enabling TensorBoard Logging
02/01/2020 00:19:44 MainProcess _training_0 _base _set_tensorboard DEBUG Setting up TensorBoard Logging. Side: a
02/01/2020 00:19:44 MainProcess _training_0 _base name DEBUG model name: 'original'
02/01/2020 00:19:44 MainProcess _training_0 _base _tensorboard_kwargs DEBUG Tensorflow version: [1, 15, 0]
02/01/2020 00:19:44 MainProcess _training_0 _base _tensorboard_kwargs DEBUG {'histogram_freq': 0, 'batch_size': 64, 'write_graph': True, 'write_grads': True, 'update_freq': 'batch', 'profile_batch': 0}
02/01/2020 00:19:44 MainProcess _run_0 training_data initialize DEBUG Initialized constants: {'clahe_base_contrast': 2, 'tgt_slices': slice(40, 216, None), 'warp_mapx': '[[[ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]]\n\n [[ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]]]', 'warp_mapy': '[[[ 40. 40. 40. 40. 40.]\n [ 84. 84. 84. 84. 84.]\n [128. 128. 128. 128. 128.]\n [172. 172. 172. 172. 172.]\n [216. 216. 216. 216. 216.]]\n\n [[ 40. 40. 40. 40. 40.]\n [ 84. 84. 84. 84. 84.]\n [128. 128. 128. 128. 128.]\n [172. 172. 172. 172. 172.]\n [216. 216. 216. 216. 216.]]]', 'warp_pad': 80, 'warp_slices': slice(8, -8, None), 'warp_lm_edge_anchors': '[[[ 0 0]\n [ 0 255]\n [255 255]\n [255 0]\n [127 0]\n [127 255]\n [255 127]\n [ 0 127]]\n\n [[ 0 0]\n [ 0 255]\n [255 255]\n [255 0]\n [127 0]\n [127 255]\n [255 127]\n [ 0 127]]]', 'warp_lm_grids': '[[[ 0. 0. 0. ... 0. 0. 0.]\n [ 1. 1. 1. ... 1. 1. 1.]\n [ 2. 2. 2. ... 2. 2. 2.]\n ...\n [253. 253. 253. ... 253. 253. 253.]\n [254. 254. 254. ... 254. 254. 254.]\n [255. 255. 255. ... 255. 255. 255.]]\n\n [[ 0. 1. 2. ... 253. 254. 255.]\n [ 0. 1. 2. ... 253. 254. 255.]\n [ 0. 1. 2. ... 253. 254. 255.]\n ...\n [ 0. 1. 2. ... 253. 254. 255.]\n [ 0. 1. 2. ... 253. 254. 255.]\n [ 0. 1. 2. ... 253. 254. 255.]]]'}
02/01/2020 00:19:44 MainProcess _run_0 multithreading run DEBUG Error in thread (_run_0): tuple index out of range
02/01/2020 00:19:45 MainProcess _training_0 _base _set_tensorboard DEBUG Setting up TensorBoard Logging. Side: b
02/01/2020 00:19:45 MainProcess _training_0 _base name DEBUG model name: 'original'
02/01/2020 00:19:45 MainProcess _training_0 _base _tensorboard_kwargs DEBUG Tensorflow version: [1, 15, 0]
02/01/2020 00:19:45 MainProcess _training_0 _base _tensorboard_kwargs DEBUG {'histogram_freq': 0, 'batch_size': 64, 'write_graph': True, 'write_grads': True, 'update_freq': 'batch', 'profile_batch': 0}
02/01/2020 00:19:46 MainProcess _training_0 _base _set_tensorboard INFO Enabled TensorBoard Logging
02/01/2020 00:19:46 MainProcess _training_0 _base _use_mask DEBUG False
02/01/2020 00:19:46 MainProcess _training_0 _base __init__ DEBUG Initializing Samples: model: '<plugins.train.model.original.Model object at 0x000002183B266DC8>', use_mask: False, coverage_ratio: 0.6875)
02/01/2020 00:19:46 MainProcess _training_0 _base __init__ DEBUG Initialized Samples
02/01/2020 00:19:46 MainProcess _training_0 _base _use_mask DEBUG False
02/01/2020 00:19:46 MainProcess _training_0 _base __init__ DEBUG Initializing Timelapse: model: <plugins.train.model.original.Model object at 0x000002183B266DC8>, use_mask: False, coverage_ratio: 0.6875, image_count: 2, batchers: '{'a': <plugins.train.trainer._base.Batcher object at 0x0000021841A13048>, 'b': <plugins.train.trainer._base.Batcher object at 0x0000021841A13608>}')
02/01/2020 00:19:46 MainProcess _training_0 _base __init__ DEBUG Initializing Samples: model: '<plugins.train.model.original.Model object at 0x000002183B266DC8>', use_mask: False, coverage_ratio: 0.6875)
02/01/2020 00:19:46 MainProcess _training_0 _base __init__ DEBUG Initialized Samples
02/01/2020 00:19:46 MainProcess _training_0 _base __init__ DEBUG Initialized Timelapse
02/01/2020 00:19:46 MainProcess _training_0 _base __init__ DEBUG Initialized Trainer
02/01/2020 00:19:46 MainProcess _training_0 train _load_trainer DEBUG Loaded Trainer
02/01/2020 00:19:46 MainProcess _training_0 train _run_training_cycle DEBUG Running Training Cycle
02/01/2020 00:19:46 MainProcess _run_0 multithreading run DEBUG Error in thread (_run_0): tuple index out of range
02/01/2020 00:19:46 MainProcess _run_0 training_data initialize DEBUG Initializing constants. training_size: 256
02/01/2020 00:19:46 MainProcess _run_1 training_data initialize DEBUG Initializing constants. training_size: 256
02/01/2020 00:19:46 MainProcess _run_0 training_data initialize DEBUG Initialized constants: {'clahe_base_contrast': 2, 'tgt_slices': slice(40, 216, None), 'warp_mapx': '[[[ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]]\n\n [[ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]]\n\n [[ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]]\n\n ...\n\n [[ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]]\n\n [[ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]]\n\n [[ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]]]', 'warp_mapy': '[[[ 40. 40. 40. 40. 40.]\n [ 84. 84. 84. 84. 84.]\n [128. 128. 128. 128. 128.]\n [172. 172. 172. 172. 172.]\n [216. 216. 216. 216. 216.]]\n\n [[ 40. 40. 40. 40. 40.]\n [ 84. 84. 84. 84. 84.]\n [128. 128. 128. 128. 128.]\n [172. 172. 172. 172. 172.]\n [216. 216. 216. 216. 216.]]\n\n [[ 40. 40. 40. 40. 40.]\n [ 84. 84. 84. 84. 84.]\n [128. 128. 128. 128. 128.]\n [172. 172. 172. 172. 172.]\n [216. 216. 216. 216. 216.]]\n\n ...\n\n [[ 40. 40. 40. 40. 40.]\n [ 84. 84. 84. 84. 84.]\n [128. 128. 128. 128. 128.]\n [172. 172. 172. 172. 172.]\n [216. 216. 216. 216. 216.]]\n\n [[ 40. 40. 40. 40. 40.]\n [ 84. 84. 84. 84. 84.]\n [128. 128. 128. 128. 128.]\n [172. 172. 172. 172. 172.]\n [216. 216. 216. 216. 216.]]\n\n [[ 40. 40. 40. 40. 40.]\n [ 84. 84. 84. 84. 84.]\n [128. 128. 128. 128. 128.]\n [172. 172. 172. 172. 172.]\n [216. 216. 216. 216. 216.]]]', 'warp_pad': 80, 'warp_slices': slice(8, -8, None), 'warp_lm_edge_anchors': '[[[ 0 0]\n [ 0 255]\n [255 255]\n ...\n [127 255]\n [255 127]\n [ 0 127]]\n\n [[ 0 0]\n [ 0 255]\n [255 255]\n ...\n [127 255]\n [255 127]\n [ 0 127]]\n\n [[ 0 0]\n [ 0 255]\n [255 255]\n ...\n [127 255]\n [255 127]\n [ 0 127]]\n\n ...\n\n [[ 0 0]\n [ 0 255]\n [255 255]\n ...\n [127 255]\n [255 127]\n [ 0 127]]\n\n [[ 0 0]\n [ 0 255]\n [255 255]\n ...\n [127 255]\n [255 127]\n [ 0 127]]\n\n [[ 0 0]\n [ 0 255]\n [255 255]\n ...\n [127 255]\n [255 127]\n [ 0 127]]]', 'warp_lm_grids': '[[[ 0. 0. 0. ... 0. 0. 0.]\n [ 1. 1. 1. ... 1. 1. 1.]\n [ 2. 2. 2. ... 2. 2. 2.]\n ...\n [253. 253. 253. ... 253. 253. 253.]\n [254. 254. 254. ... 254. 254. 254.]\n [255. 255. 255. ... 255. 255. 255.]]\n\n [[ 0. 1. 2. ... 253. 254. 255.]\n [ 0. 1. 2. ... 253. 254. 255.]\n [ 0. 1. 2. ... 253. 254. 255.]\n ...\n [ 0. 1. 2. ... 253. 254. 255.]\n [ 0. 1. 2. ... 253. 254. 255.]\n [ 0. 1. 2. ... 253. 254. 255.]]]'}
02/01/2020 00:19:46 MainProcess _run_1 training_data initialize DEBUG Initialized constants: {'clahe_base_contrast': 2, 'tgt_slices': slice(40, 216, None), 'warp_mapx': '[[[ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]]\n\n [[ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]]\n\n [[ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]]\n\n ...\n\n [[ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]]\n\n [[ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]]\n\n [[ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]\n [ 40. 84. 128. 172. 216.]]]', 'warp_mapy': '[[[ 40. 40. 40. 40. 40.]\n [ 84. 84. 84. 84. 84.]\n [128. 128. 128. 128. 128.]\n [172. 172. 172. 172. 172.]\n [216. 216. 216. 216. 216.]]\n\n [[ 40. 40. 40. 40. 40.]\n [ 84. 84. 84. 84. 84.]\n [128. 128. 128. 128. 128.]\n [172. 172. 172. 172. 172.]\n [216. 216. 216. 216. 216.]]\n\n [[ 40. 40. 40. 40. 40.]\n [ 84. 84. 84. 84. 84.]\n [128. 128. 128. 128. 128.]\n [172. 172. 172. 172. 172.]\n [216. 216. 216. 216. 216.]]\n\n ...\n\n [[ 40. 40. 40. 40. 40.]\n [ 84. 84. 84. 84. 84.]\n [128. 128. 128. 128. 128.]\n [172. 172. 172. 172. 172.]\n [216. 216. 216. 216. 216.]]\n\n [[ 40. 40. 40. 40. 40.]\n [ 84. 84. 84. 84. 84.]\n [128. 128. 128. 128. 128.]\n [172. 172. 172. 172. 172.]\n [216. 216. 216. 216. 216.]]\n\n [[ 40. 40. 40. 40. 40.]\n [ 84. 84. 84. 84. 84.]\n [128. 128. 128. 128. 128.]\n [172. 172. 172. 172. 172.]\n [216. 216. 216. 216. 216.]]]', 'warp_pad': 80, 'warp_slices': slice(8, -8, None), 'warp_lm_edge_anchors': '[[[ 0 0]\n [ 0 255]\n [255 255]\n ...\n [127 255]\n [255 127]\n [ 0 127]]\n\n [[ 0 0]\n [ 0 255]\n [255 255]\n ...\n [127 255]\n [255 127]\n [ 0 127]]\n\n [[ 0 0]\n [ 0 255]\n [255 255]\n ...\n [127 255]\n [255 127]\n [ 0 127]]\n\n ...\n\n [[ 0 0]\n [ 0 255]\n [255 255]\n ...\n [127 255]\n [255 127]\n [ 0 127]]\n\n [[ 0 0]\n [ 0 255]\n [255 255]\n ...\n [127 255]\n [255 127]\n [ 0 127]]\n\n [[ 0 0]\n [ 0 255]\n [255 255]\n ...\n [127 255]\n [255 127]\n [ 0 127]]]', 'warp_lm_grids': '[[[ 0. 0. 0. ... 0. 0. 0.]\n [ 1. 1. 1. ... 1. 1. 1.]\n [ 2. 2. 2. ... 2. 2. 2.]\n ...\n [253. 253. 253. ... 253. 253. 253.]\n [254. 254. 254. ... 254. 254. 254.]\n [255. 255. 255. ... 255. 255. 255.]]\n\n [[ 0. 1. 2. ... 253. 254. 255.]\n [ 0. 1. 2. ... 253. 254. 255.]\n [ 0. 1. 2. ... 253. 254. 255.]\n ...\n [ 0. 1. 2. ... 253. 254. 255.]\n [ 0. 1. 2. ... 253. 254. 255.]\n [ 0. 1. 2. ... 253. 254. 255.]]]'}
02/01/2020 00:19:47 MainProcess _training_0 module_wrapper _tfmw_add_deprecation_warning DEBUG From C:\Users\User\MiniConda3\envs\faceswap\lib\site-packages\keras\backend\tensorflow_backend.py:986: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead.\n
02/01/2020 00:19:47 MainProcess _training_0 module_wrapper _tfmw_add_deprecation_warning DEBUG From C:\Users\User\MiniConda3\envs\faceswap\lib\site-packages\keras\backend\tensorflow_backend.py:973: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead.\n
02/01/2020 00:19:56 MainProcess _training_0 _base generate_preview DEBUG Generating preview
02/01/2020 00:19:56 MainProcess _training_0 _base largest_face_index DEBUG 0
02/01/2020 00:19:56 MainProcess _training_0 _base compile_sample DEBUG Compiling samples: (side: 'a', samples: 2)
02/01/2020 00:19:56 MainProcess _training_0 multithreading check_and_raise_error DEBUG Thread error caught: [(<class 'IndexError'>, IndexError('tuple index out of range'), <traceback object at 0x00000218F25DFE88>)]
02/01/2020 00:19:56 MainProcess _training_0 multithreading run DEBUG Error in thread (_training_0): tuple index out of range
02/01/2020 00:19:56 MainProcess _run_1 multithreading run DEBUG Error in thread (_run_1): tuple index out of range
02/01/2020 00:19:56 MainProcess MainThread train _monitor DEBUG Thread error detected
02/01/2020 00:19:56 MainProcess MainThread train _monitor DEBUG Closed Monitor
02/01/2020 00:19:56 MainProcess MainThread train _end_thread DEBUG Ending Training thread
02/01/2020 00:19:56 MainProcess MainThread train _end_thread CRITICAL Error caught! Exiting...
02/01/2020 00:19:56 MainProcess MainThread multithreading join DEBUG Joining Threads: '_training'
02/01/2020 00:19:56 MainProcess MainThread multithreading join DEBUG Joining Thread: '_training_0'
02/01/2020 00:19:56 MainProcess MainThread multithreading join ERROR Caught exception in thread: '_training_0'
Traceback (most recent call last):
File "C:\Users\User\faceswap\lib\cli.py", line 128, in execute_script
process.process()
File "C:\Users\User\faceswap\scripts\train.py", line 159, in process
self._end_thread(thread, err)
File "C:\Users\User\faceswap\scripts\train.py", line 199, in _end_thread
thread.join()
File "C:\Users\User\faceswap\lib\multithreading.py", line 121, in join
raise thread.err[1].with_traceback(thread.err[2])
File "C:\Users\User\faceswap\lib\multithreading.py", line 37, in run
self._target(*self._args, **self._kwargs)
File "C:\Users\User\faceswap\scripts\train.py", line 224, in _training
raise err
File "C:\Users\User\faceswap\scripts\train.py", line 214, in _training
self._run_training_cycle(model, trainer)
File "C:\Users\User\faceswap\scripts\train.py", line 303, in _run_training_cycle
trainer.train_one_step(viewer, timelapse)
File "C:\Users\User\faceswap\plugins\train\trainer\_base.py", line 316, in train_one_step
raise err
File "C:\Users\User\faceswap\plugins\train\trainer\_base.py", line 283, in train_one_step
loss[side] = batcher.train_one_batch()
File "C:\Users\User\faceswap\plugins\train\trainer\_base.py", line 422, in train_one_batch
model_inputs, model_targets = self._get_next()
File "C:\Users\User\faceswap\plugins\train\trainer\_base.py", line 452, in _get_next
batch = next(self._feed)
File "C:\Users\User\faceswap\lib\multithreading.py", line 156, in iterator
self.check_and_raise_error()
File "C:\Users\User\faceswap\lib\multithreading.py", line 84, in check_and_raise_error
raise error[1].with_traceback(error[2])
File "C:\Users\User\faceswap\lib\multithreading.py", line 37, in run
self._target(*self._args, **self._kwargs)
File "C:\Users\User\faceswap\lib\multithreading.py", line 145, in _run
for item in self.generator(*self._gen_args, **self._gen_kwargs):
File "C:\Users\User\faceswap\lib\training_data.py", line 189, in _minibatch
yield self._process_batch(img_paths, side)
File "C:\Users\User\faceswap\lib\training_data.py", line 203, in _process_batch
self._processing.initialize(batch.shape[1])
IndexError: tuple index out of range
============ System Information ============
encoding: cp950
git_branch: staging
git_commits: d11ed95 Merge branch 'master' into staging
gpu_cuda: No global version found. Check Conda packages for Conda Cuda
gpu_cudnn: No global version found. Check Conda packages for Conda cuDNN
gpu_devices: GPU_0: GeForce GTX 1650
gpu_devices_active: GPU_0
gpu_driver: 441.66
gpu_vram: GPU_0: 4096MB
os_machine: AMD64
os_platform: Windows-10-10.0.18362-SP0
os_release: 10
py_command: C:\Users\User\faceswap\faceswap.py train -A C:/fakes/5 -B C:/fakes/data_B -m C:/fakes/model -t original -bs 64 -it 1000000 -g 1 -s 100 -ss 25000 -ps 50 -L INFO -gui
py_conda_version: conda 4.8.1
py_implementation: CPython
py_version: 3.7.6
py_virtual_env: True
sys_cores: 8
sys_processor: Intel64 Family 6 Model 60 Stepping 3, GenuineIntel
sys_ram: Total: 16335MB, Available: 9764MB, Used: 6570MB, Free: 9764MB
=============== Pip Packages ===============
absl-py==0.8.1
astor==0.8.0
certifi==2019.11.28
cloudpickle==1.2.2
cycler==0.10.0
cytoolz==0.10.1
dask==2.10.0
decorator==4.4.1
fastcluster==1.1.26
ffmpy==0.2.2
gast==0.2.2
google-pasta==0.1.8
grpcio==1.16.1
h5py==2.9.0
imageio==2.6.1
imageio-ffmpeg==0.3.0
joblib==0.14.1
Keras==2.2.4
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.0
kiwisolver==1.1.0
Markdown==3.1.1
matplotlib==3.1.1
mkl-fft==1.0.15
mkl-random==1.1.0
mkl-service==2.3.0
networkx==2.4
numpy==1.17.4
nvidia-ml-py3==7.352.1
olefile==0.46
opencv-python==4.1.2.30
opt-einsum==3.1.0
pathlib==1.0.1
Pillow==6.2.1
protobuf==3.11.2
psutil==5.6.7
pyparsing==2.4.6
pyreadline==2.1
python-dateutil==2.8.1
pytz==2019.3
PyWavelets==1.1.1
pywin32==227
PyYAML==5.2
scikit-image==0.15.0
scikit-learn==0.22.1
scipy==1.3.2
six==1.14.0
tensorboard==2.0.0
tensorflow==1.15.0
tensorflow-estimator==1.15.1
termcolor==1.1.0
toolz==0.10.0
toposort==1.5
tornado==6.0.3
tqdm==4.42.0
Werkzeug==0.16.0
wincertstore==0.2
wrapt==1.11.2
============== Conda Packages ==============
# packages in environment at C:\Users\User\MiniConda3\envs\faceswap:
#
# Name Version Build Channel
_tflow_select 2.1.0 gpu
absl-py 0.8.1 py37_0
astor 0.8.0 py37_0
blas 1.0 mkl
ca-certificates 2019.11.27 0
certifi 2019.11.28 py37_0
cloudpickle 1.2.2 py_0
cudatoolkit 10.0.130 0
cudnn 7.6.5 cuda10.0_0
cycler 0.10.0 py37_0
cytoolz 0.10.1 py37he774522_0
dask-core 2.10.0 py_0
decorator 4.4.1 py_0
fastcluster 1.1.26 py37he350917_0 conda-forge
ffmpeg 4.2 h6538335_0 conda-forge
ffmpy 0.2.2 pypi_0 pypi
freetype 2.9.1 ha9979f8_1
gast 0.2.2 py37_0
git 2.23.0 h6bb4b03_0
google-pasta 0.1.8 py_0
grpcio 1.16.1 py37h351948d_1
h5py 2.9.0 py37h5e291fa_0
hdf5 1.10.4 h7ebc959_0
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha66f8fd_1
imageio 2.6.1 py37_0
imageio-ffmpeg 0.3.0 py_0 conda-forge
intel-openmp 2019.4 245
joblib 0.14.1 py_0
jpeg 9b hb83a4c4_2
keras 2.2.4 0
keras-applications 1.0.8 py_0
keras-base 2.2.4 py37_0
keras-preprocessing 1.1.0 py_1
kiwisolver 1.1.0 py37ha925a31_0
libmklml 2019.0.5 0
libpng 1.6.37 h2a8f88b_0
libprotobuf 3.11.2 h7bd577a_0
libtiff 4.1.0 h56a325e_0
markdown 3.1.1 py37_0
matplotlib 3.1.1 py37hc8f65d3_0
mkl 2019.4 245
mkl-service 2.3.0 py37hb782905_0
mkl_fft 1.0.15 py37h14836fe_0
mkl_random 1.1.0 py37h675688f_0
networkx 2.4 py_0
numpy 1.17.4 py37h4320e6b_0
numpy-base 1.17.4 py37hc3f5095_0
nvidia-ml-py3 7.352.1 pypi_0 pypi
olefile 0.46 py37_0
opencv-python 4.1.2.30 pypi_0 pypi
openssl 1.1.1d he774522_3
opt_einsum 3.1.0 py_0
pathlib 1.0.1 py37_1
pillow 6.2.1 py37hdc69c19_0
pip 20.0.2 py37_0
protobuf 3.11.2 py37h33f27b4_0
psutil 5.6.7 py37he774522_0
pyparsing 2.4.6 py_0
pyqt 5.9.2 py37h6538335_2
pyreadline 2.1 py37_1
python 3.7.6 h60c2a47_2
python-dateutil 2.8.1 py_0
pytz 2019.3 py_0
pywavelets 1.1.1 py37he774522_0
pywin32 227 py37he774522_1
pyyaml 5.2 py37he774522_0
qt 5.9.7 vc14h73c81de_0
scikit-image 0.15.0 py37ha925a31_0
scikit-learn 0.22.1 py37h6288b17_0
scipy 1.3.2 py37h29ff71c_0
setuptools 45.1.0 py37_0
sip 4.19.8 py37h6538335_0
six 1.14.0 py37_0
sqlite 3.30.1 he774522_0
tensorboard 2.0.0 pyhb38c66f_1
tensorflow 1.15.0 gpu_py37hc3743a6_0
tensorflow-base 1.15.0 gpu_py37h1afeea4_0
tensorflow-estimator 1.15.1 pyh2649769_0
tensorflow-gpu 1.15.0 h0d30ee6_0
termcolor 1.1.0 py37_1
tk 8.6.8 hfa6e2cd_0
toolz 0.10.0 py_0
toposort 1.5 py_3 conda-forge
tornado 6.0.3 py37he774522_0
tqdm 4.42.0 py_0
vc 14.1 h0510ff6_4
vs2015_runtime 14.16.27012 hf0eaf9b_1
werkzeug 0.16.0 py_0
wheel 0.33.6 py37_0
wincertstore 0.2 py37_0
wrapt 1.11.2 py37he774522_0
xz 5.2.4 h2fa13f4_4
yaml 0.1.7 hc54c509_2
zlib 1.2.11 h62dcd97_3
zstd 1.3.7 h508b16e_0
================= Configs ==================
--------- .faceswap ---------
backend: nvidia
--------- convert.ini ---------
[color.color_transfer]
clip: True
preserve_paper: True
[color.manual_balance]
colorspace: HSV
balance_1: 0.0
balance_2: 0.0
balance_3: 0.0
contrast: 0.0
brightness: 0.0
[color.match_hist]
threshold: 99.0
[mask.box_blend]
type: gaussian
distance: 11.0
radius: 5.0
passes: 1
[mask.mask_blend]
type: normalized
kernel_size: 3
passes: 4
threshold: 4
erosion: 0.0
[scaling.sharpen]
method: unsharp_mask
amount: 150
radius: 0.3
threshold: 5.0
[writer.ffmpeg]
container: mp4
codec: libx264
crf: 23
preset: medium
tune: none
profile: auto
level: auto
[writer.gif]
fps: 25
loop: 0
palettesize: 256
subrectangles: False
[writer.opencv]
format: png
draw_transparent: False
jpg_quality: 75
png_compress_level: 3
[writer.pillow]
format: png
draw_transparent: False
optimize: False
gif_interlace: True
jpg_quality: 75
png_compress_level: 3
tif_compression: tiff_deflate
--------- extract.ini ---------
[global]
allow_growth: True
[align.fan]
batch-size: 12
[detect.cv2_dnn]
confidence: 50
[detect.mtcnn]
minsize: 20
threshold_1: 0.6
threshold_2: 0.7
threshold_3: 0.7
scalefactor: 0.709
batch-size: 8
[detect.s3fd]
confidence: 70
batch-size: 4
[mask.unet_dfl]
batch-size: 8
[mask.vgg_clear]
batch-size: 6
[mask.vgg_obstructed]
batch-size: 2
--------- gui.ini ---------
[global]
fullscreen: False
tab: extract
options_panel_width: 30
console_panel_height: 20
icon_size: 14
font: default
font_size: 9
autosave_last_session: prompt
timeout: 120
auto_load_model_stats: True
--------- train.ini ---------
[global]
coverage: 68.75
mask_type: none
mask_blur_kernel: 3
mask_threshold: 4
learn_mask: False
icnr_init: False
conv_aware_init: False
subpixel_upscaling: False
reflect_padding: False
penalized_mask_loss: True
loss_function: mae
learning_rate: 5e-05
[model.dfl_h128]
lowmem: False
[model.dfl_sae]
input_size: 128
clipnorm: True
architecture: df
autoencoder_dims: 0
encoder_dims: 42
decoder_dims: 21
multiscale_decoder: False
[model.dlight]
features: fair
details: good
output_size: 256
[model.original]
lowmem: False
[model.realface]
input_size: 64
output_size: 128
dense_nodes: 1536
complexity_encoder: 128
complexity_decoder: 512
[model.unbalanced]
input_size: 128
lowmem: False
clipnorm: True
nodes: 1024
complexity_encoder: 128
complexity_decoder_a: 384
complexity_decoder_b: 512
[model.villain]
lowmem: False
[trainer.original]
preview_images: 2
zoom_amount: 5
rotation_range: 10
shift_range: 5
flip_chance: 50
color_lightness: 30
color_ab: 8
color_clahe_chance: 50
color_clahe_max_size: 4
