04/16/2021 19:08:38 MainProcess _training_0 multithreading start DEBUG Started all threads '_run': 2
04/16/2021 19:08:38 MainProcess _training_0 _base _set_preview_feed DEBUG Setting preview feed: (side: 'b')
04/16/2021 19:08:38 MainProcess _training_0 _base _load_generator DEBUG Loading generator
04/16/2021 19:08:38 MainProcess _training_0 _base _load_generator DEBUG input_size: 64, output_shapes: [(64, 64, 3)]
04/16/2021 19:08:38 MainProcess _training_0 generator __init__ DEBUG Initializing TrainingDataGenerator: (model_input_size: 64, model_output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, color_order: bgr, augment_color: True, no_flip: False, no_warp: False, warp_to_landmarks: False, config: {'centering': 'face', 'coverage': 68.75, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'preview_images': 14, '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})
04/16/2021 19:08:38 MainProcess _training_0 generator __init__ DEBUG Initialized TrainingDataGenerator
04/16/2021 19:08:38 MainProcess _training_0 generator minibatch_ab DEBUG Queue batches: (image_count: 6878, batchsize: 14, side: 'b', do_shuffle: True, is_preview, True, is_timelapse: False)
04/16/2021 19:08:38 MainProcess _training_0 augmentation __init__ DEBUG Initializing ImageAugmentation: (batchsize: 14, is_display: True, input_size: 64, output_shapes: [(64, 64, 3)], coverage_ratio: 0.6875, config: {'centering': 'face', 'coverage': 68.75, 'icnr_init': False, 'conv_aware_init': False, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'reflect_padding': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'mask_loss_function': 'mse', 'l2_reg_term': 100, 'eye_multiplier': 3, 'mouth_multiplier': 2, 'penalized_mask_loss': True, 'mask_type': 'extended', 'mask_blur_kernel': 3, 'mask_threshold': 4, 'learn_mask': False, 'preview_images': 14, '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})
04/16/2021 19:08:38 MainProcess _training_0 augmentation __init__ DEBUG Output sizes: [64]
04/16/2021 19:08:38 MainProcess _training_0 augmentation __init__ DEBUG Initialized ImageAugmentation
04/16/2021 19:08:38 MainProcess _training_0 multithreading __init__ DEBUG Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
04/16/2021 19:08:38 MainProcess _training_0 multithreading __init__ DEBUG Initialized BackgroundGenerator: '_run'
04/16/2021 19:08:38 MainProcess _training_0 multithreading start DEBUG Starting thread(s): '_run'
04/16/2021 19:08:38 MainProcess _training_0 multithreading start DEBUG Starting thread 1 of 2: '_run_0'
04/16/2021 19:08:38 MainProcess _run_0 generator _minibatch DEBUG Loading minibatch generator: (image_count: 6878, side: 'b', do_shuffle: True)
04/16/2021 19:08:38 MainProcess _training_0 multithreading start DEBUG Starting thread 2 of 2: '_run_1'
04/16/2021 19:08:38 MainProcess _run_1 generator _minibatch DEBUG Loading minibatch generator: (image_count: 6878, side: 'b', do_shuffle: True)
04/16/2021 19:08:38 MainProcess _training_0 multithreading start DEBUG Started all threads '_run': 2
04/16/2021 19:08:38 MainProcess _training_0 _base _set_preview_feed DEBUG Set preview feed. Batchsize: 14
04/16/2021 19:08:38 MainProcess _training_0 _base __init__ DEBUG Initialized _Feeder:
04/16/2021 19:08:38 MainProcess _training_0 _base _set_tensorboard DEBUG Enabling TensorBoard Logging
04/16/2021 19:08:38 MainProcess _training_0 _base _set_tensorboard DEBUG Setting up TensorBoard Logging
04/16/2021 19:08:38 MainProcess _training_0 _base _set_tensorboard VERBOSE Enabled TensorBoard Logging
04/16/2021 19:08:38 MainProcess _training_0 _base __init__ DEBUG Initializing _Samples: model: '<plugins.train.model.original.Model object at 0x000001325F613040>', coverage_ratio: 0.6875)
04/16/2021 19:08:38 MainProcess _training_0 _base __init__ DEBUG Initialized _Samples
04/16/2021 19:08:38 MainProcess _training_0 _base __init__ DEBUG Initializing _Timelapse: model: <plugins.train.model.original.Model object at 0x000001325F613040>, coverage_ratio: 0.6875, image_count: 14, feeder: '<plugins.train.trainer._base._Feeder object at 0x0000013204C96640>', image_paths: 2)
04/16/2021 19:08:38 MainProcess _training_0 _base __init__ DEBUG Initializing _Samples: model: '<plugins.train.model.original.Model object at 0x000001325F613040>', coverage_ratio: 0.6875)
04/16/2021 19:08:38 MainProcess _training_0 _base __init__ DEBUG Initialized _Samples
04/16/2021 19:08:38 MainProcess _training_0 _base __init__ DEBUG Initialized _Timelapse
04/16/2021 19:08:38 MainProcess _training_0 _base __init__ DEBUG Initialized Trainer
04/16/2021 19:08:38 MainProcess _training_0 train _load_trainer DEBUG Loaded Trainer
04/16/2021 19:08:38 MainProcess _training_0 train _run_training_cycle DEBUG Running Training Cycle
04/16/2021 19:08:38 MainProcess _run_0 generator _validate_version DEBUG Setting initial extract version: 2.1
04/16/2021 19:08:38 MainProcess _run_0 generator _validate_version DEBUG Setting initial extract version: 2.1
04/16/2021 19:08:38 MainProcess _run_0 augmentation initialize DEBUG Initializing constants. training_size: 384
04/16/2021 19:08:38 MainProcess _run_0 augmentation initialize DEBUG Initializing constants. training_size: 384
04/16/2021 19:08:38 MainProcess _run_0 augmentation initialize DEBUG Initialized constants: {'clahe_base_contrast': 3, 'tgt_slices': slice(60, 324, None), 'warp_mapx': '[[[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]]', 'warp_mapy': '[[[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]]', 'warp_pad': 80, 'warp_slices': slice(8, -8, None), 'warp_lm_edge_anchors': '[[[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]]', '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 [381. 381. 381. ... 381. 381. 381.]\n [382. 382. 382. ... 382. 382. 382.]\n [383. 383. 383. ... 383. 383. 383.]]\n\n [[ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]\n ...\n [ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]]]'}
04/16/2021 19:08:38 MainProcess _run_0 augmentation initialize DEBUG Initialized constants: {'clahe_base_contrast': 3, 'tgt_slices': slice(60, 324, None), 'warp_mapx': '[[[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]]', 'warp_mapy': '[[[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]]', 'warp_pad': 80, 'warp_slices': slice(8, -8, None), 'warp_lm_edge_anchors': '[[[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]]', '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 [381. 381. 381. ... 381. 381. 381.]\n [382. 382. 382. ... 382. 382. 382.]\n [383. 383. 383. ... 383. 383. 383.]]\n\n [[ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]\n ...\n [ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]]]'}
04/16/2021 19:08:38 MainProcess _run_0 augmentation initialize DEBUG Initializing constants. training_size: 384
04/16/2021 19:08:38 MainProcess _run_0 augmentation initialize DEBUG Initialized constants: {'clahe_base_contrast': 3, 'tgt_slices': slice(60, 324, None), 'warp_mapx': '[[[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]]', 'warp_mapy': '[[[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]]', 'warp_pad': 80, 'warp_slices': slice(8, -8, None), 'warp_lm_edge_anchors': '[[[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]]', '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 [381. 381. 381. ... 381. 381. 381.]\n [382. 382. 382. ... 382. 382. 382.]\n [383. 383. 383. ... 383. 383. 383.]]\n\n [[ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]\n ...\n [ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]]]'}
04/16/2021 19:08:38 MainProcess _run_0 augmentation initialize DEBUG Initializing constants. training_size: 384
04/16/2021 19:08:38 MainProcess _run_0 augmentation initialize DEBUG Initialized constants: {'clahe_base_contrast': 3, 'tgt_slices': slice(60, 324, None), 'warp_mapx': '[[[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]\n\n [[ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]\n [ 60. 126. 192. 258. 324.]]]', 'warp_mapy': '[[[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]\n\n [[ 60. 60. 60. 60. 60.]\n [126. 126. 126. 126. 126.]\n [192. 192. 192. 192. 192.]\n [258. 258. 258. 258. 258.]\n [324. 324. 324. 324. 324.]]]', 'warp_pad': 80, 'warp_slices': slice(8, -8, None), 'warp_lm_edge_anchors': '[[[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]\n\n [[ 0 0]\n [ 0 383]\n [383 383]\n [383 0]\n [191 0]\n [191 383]\n [383 191]\n [ 0 191]]]', '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 [381. 381. 381. ... 381. 381. 381.]\n [382. 382. 382. ... 382. 382. 382.]\n [383. 383. 383. ... 383. 383. 383.]]\n\n [[ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]\n ...\n [ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]\n [ 0. 1. 2. ... 381. 382. 383.]]]'}
04/16/2021 19:08:39 MainProcess _run_1 generator cache_metadata DEBUG All metadata already cached for: ['720P_4000K_313503161_000307_0.png', '720P_4000K_313503161_000546_0.png', '720P_4000K_313503161_002874_0.png', '720P_4000K_313503161_001547_0.png', '720P_4000K_313503161_000264_0.png', '720P_4000K_313503161_000804_0.png', '720P_4000K_313503161_001152_0.png', '720P_4000K_313503161_002760_0.png']
04/16/2021 19:08:39 MainProcess _run_0 generator cache_metadata DEBUG All metadata already cached for: ['AhleyRIV_003600_0.png', 'AhleyRIV_007024_0.png', 'AhleyRIV_007273_0.png', 'AhleyRIV_004257_0.png', 'AhleyRIV_008017_0.png', 'AhleyRIV_002480_0.png', 'AhleyRIV_005836_0.png', 'AhleyRIV_002909_0.png']
04/16/2021 19:08:39 MainProcess _training_0 api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x000001320F057FA0>, weight: 1.0, mask_channel: 3)
04/16/2021 19:08:40 MainProcess _training_0 api converted_call DEBUG Applying mask from channel 3
04/16/2021 19:08:40 MainProcess _training_0 api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000013204989580>, weight: 1.0, mask_channel: 3)
04/16/2021 19:08:40 MainProcess _training_0 api converted_call DEBUG Applying mask from channel 3
04/16/2021 19:08:40 MainProcess _training_0 api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x000001325F8ED370>, weight: 3.0, mask_channel: 4)
04/16/2021 19:08:40 MainProcess _training_0 api converted_call DEBUG Applying mask from channel 4
04/16/2021 19:08:41 MainProcess _training_0 api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x000001325F817FA0>, weight: 1.0, mask_channel: 1)
04/16/2021 19:08:41 MainProcess _training_0 api converted_call DEBUG Applying mask from channel 1
04/16/2021 19:08:41 MainProcess _training_0 api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000013204937FA0>, weight: 2.0, mask_channel: 5)
04/16/2021 19:08:41 MainProcess _training_0 api converted_call DEBUG Applying mask from channel 5
04/16/2021 19:08:41 MainProcess _training_0 api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x000001320AA3A100>, weight: 1.0, mask_channel: 2)
04/16/2021 19:08:41 MainProcess _training_0 api converted_call DEBUG Applying mask from channel 2
04/16/2021 19:08:41 MainProcess _training_0 api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000013204910FA0>, weight: 1.0, mask_channel: 3)
04/16/2021 19:08:41 MainProcess _training_0 api converted_call DEBUG Applying mask from channel 3
04/16/2021 19:08:41 MainProcess _training_0 api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000013204910070>, weight: 1.0, mask_channel: 3)
04/16/2021 19:08:41 MainProcess _training_0 api converted_call DEBUG Applying mask from channel 3
04/16/2021 19:08:41 MainProcess _training_0 api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x00000132049A73D0>, weight: 3.0, mask_channel: 4)
04/16/2021 19:08:41 MainProcess _training_0 api converted_call DEBUG Applying mask from channel 4
04/16/2021 19:08:41 MainProcess _training_0 api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x00000132049A7B20>, weight: 1.0, mask_channel: 1)
04/16/2021 19:08:41 MainProcess _training_0 api converted_call DEBUG Applying mask from channel 1
04/16/2021 19:08:41 MainProcess _training_0 api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x000001325F953760>, weight: 2.0, mask_channel: 5)
04/16/2021 19:08:41 MainProcess _training_0 api converted_call DEBUG Applying mask from channel 5
04/16/2021 19:08:41 MainProcess _training_0 api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x000001325F91C430>, weight: 1.0, mask_channel: 2)
04/16/2021 19:08:41 MainProcess _training_0 api converted_call DEBUG Applying mask from channel 2
04/16/2021 19:08:42 MainProcess _training_0 api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x000001320F057FA0>, weight: 1.0, mask_channel: 3)
04/16/2021 19:08:42 MainProcess _training_0 api converted_call DEBUG Applying mask from channel 3
04/16/2021 19:08:43 MainProcess _training_0 api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000013204989580>, weight: 1.0, mask_channel: 3)
04/16/2021 19:08:43 MainProcess _training_0 api converted_call DEBUG Applying mask from channel 3
04/16/2021 19:08:43 MainProcess _training_0 api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x000001325F8ED370>, weight: 3.0, mask_channel: 4)
04/16/2021 19:08:43 MainProcess _training_0 api converted_call DEBUG Applying mask from channel 4
04/16/2021 19:08:43 MainProcess _training_0 api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x000001325F817FA0>, weight: 1.0, mask_channel: 1)
04/16/2021 19:08:43 MainProcess _training_0 api converted_call DEBUG Applying mask from channel 1
04/16/2021 19:08:43 MainProcess _training_0 api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000013204937FA0>, weight: 2.0, mask_channel: 5)
04/16/2021 19:08:43 MainProcess _training_0 api converted_call DEBUG Applying mask from channel 5
04/16/2021 19:08:43 MainProcess _training_0 api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x000001320AA3A100>, weight: 1.0, mask_channel: 2)
04/16/2021 19:08:43 MainProcess _training_0 api converted_call DEBUG Applying mask from channel 2
04/16/2021 19:08:43 MainProcess _training_0 api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000013204910FA0>, weight: 1.0, mask_channel: 3)
04/16/2021 19:08:43 MainProcess _training_0 api converted_call DEBUG Applying mask from channel 3
04/16/2021 19:08:43 MainProcess _training_0 api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000013204910070>, weight: 1.0, mask_channel: 3)
04/16/2021 19:08:43 MainProcess _training_0 api converted_call DEBUG Applying mask from channel 3
04/16/2021 19:08:43 MainProcess _training_0 api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x00000132049A73D0>, weight: 3.0, mask_channel: 4)
04/16/2021 19:08:43 MainProcess _training_0 api converted_call DEBUG Applying mask from channel 4
04/16/2021 19:08:43 MainProcess _training_0 api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x00000132049A7B20>, weight: 1.0, mask_channel: 1)
04/16/2021 19:08:43 MainProcess _training_0 api converted_call DEBUG Applying mask from channel 1
04/16/2021 19:08:43 MainProcess _training_0 api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x000001325F953760>, weight: 2.0, mask_channel: 5)
04/16/2021 19:08:43 MainProcess _training_0 api converted_call DEBUG Applying mask from channel 5
04/16/2021 19:08:43 MainProcess _training_0 api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x000001325F91C430>, weight: 1.0, mask_channel: 2)
04/16/2021 19:08:43 MainProcess _training_0 api converted_call DEBUG Applying mask from channel 2
04/16/2021 19:08:47 MainProcess _training_0 multithreading run DEBUG Error in thread (_training_0): 2 root error(s) found.\n (0) Not found: No algorithm worked!\n [[node original/encoder/conv_128_0_conv2d/Conv2D_1 (defined at Program Files (x86)\faceswap\plugins\train\trainer\_base.py:189) ]]\n [[cond/then/_0/batch_loss/ReadVariableOp/_50]]\n (1) Not found: No algorithm worked!\n [[node original/encoder/conv_128_0_conv2d/Conv2D_1 (defined at Program Files (x86)\faceswap\plugins\train\trainer\_base.py:189) ]]\n0 successful operations.\n0 derived errors ignored. [Op:__inference_train_function_8935]\n\nFunction call stack:\ntrain_function -> train_function\n
04/16/2021 19:08:47 MainProcess MainThread train _monitor DEBUG Thread error detected
04/16/2021 19:08:47 MainProcess MainThread train _monitor DEBUG Closed Monitor
04/16/2021 19:08:47 MainProcess MainThread train _end_thread DEBUG Ending Training thread
04/16/2021 19:08:47 MainProcess MainThread train _end_thread CRITICAL Error caught! Exiting...
04/16/2021 19:08:47 MainProcess MainThread multithreading join DEBUG Joining Threads: '_training'
04/16/2021 19:08:47 MainProcess MainThread multithreading join DEBUG Joining Thread: '_training_0'
04/16/2021 19:08:47 MainProcess MainThread multithreading join ERROR Caught exception in thread: '_training_0'
Traceback (most recent call last):
File "C:\Program Files (x86)\faceswap\lib\cli\launcher.py", line 182, in execute_script
process.process()
File "C:\Program Files (x86)\faceswap\scripts\train.py", line 187, in process
self._end_thread(thread, err)
File "C:\Program Files (x86)\faceswap\scripts\train.py", line 227, in _end_thread
thread.join()
File "C:\Program Files (x86)\faceswap\lib\multithreading.py", line 121, in join
raise thread.err[1].with_traceback(thread.err[2])
File "C:\Program Files (x86)\faceswap\lib\multithreading.py", line 37, in run
self._target(*self._args, **self._kwargs)
File "C:\Program Files (x86)\faceswap\scripts\train.py", line 249, in _training
raise err
File "C:\Program Files (x86)\faceswap\scripts\train.py", line 239, in _training
self._run_training_cycle(model, trainer)
File "C:\Program Files (x86)\faceswap\scripts\train.py", line 319, in _run_training_cycle
trainer.train_one_step(viewer, timelapse)
File "C:\Program Files (x86)\faceswap\plugins\train\trainer\_base.py", line 189, in train_one_step
loss = self._model.model.train_on_batch(model_inputs, y=model_targets)
File "C:\Users\TechChef_G\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py", line 1727, in train_on_batch
logs = self.train_function(iterator)
File "C:\Users\TechChef_G\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 828, in __call__
result = self._call(*args, **kwds)
File "C:\Users\TechChef_G\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 888, in _call
return self._stateless_fn(*args, **kwds)
File "C:\Users\TechChef_G\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\function.py", line 2942, in __call__
return graph_function._call_flat(
File "C:\Users\TechChef_G\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\function.py", line 1918, in _call_flat
return self._build_call_outputs(self._inference_function.call(
File "C:\Users\TechChef_G\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\function.py", line 555, in call
outputs = execute.execute(
File "C:\Users\TechChef_G\MiniConda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\execute.py", line 59, in quick_execute
tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
tensorflow.python.framework.errors_impl.NotFoundError: 2 root error(s) found.
(0) Not found: No algorithm worked!
[[node original/encoder/conv_128_0_conv2d/Conv2D_1 (defined at Program Files (x86)\faceswap\plugins\train\trainer\_base.py:189) ]]
[[cond/then/_0/batch_loss/ReadVariableOp/_50]]
(1) Not found: No algorithm worked!
[[node original/encoder/conv_128_0_conv2d/Conv2D_1 (defined at Program Files (x86)\faceswap\plugins\train\trainer\_base.py:189) ]]
0 successful operations.
0 derived errors ignored. [Op:__inference_train_function_8935]
Function call stack:
train_function -> train_function
============ System Information ============
encoding: cp1252
git_branch: Not Found
git_commits: Not Found
gpu_cuda: 11.3
gpu_cudnn: 8.1.1
gpu_devices: GPU_0: NVIDIA GeForce RTX 3080
gpu_devices_active: GPU_0
gpu_driver: 466.11
gpu_vram: GPU_0: 10240MB
os_machine: AMD64
os_platform: Windows-10-10.0.19041-SP0
os_release: 10
py_command: C:\Program Files (x86)\faceswap\faceswap.py train -A D:/FACESWAPS/ASHELYRIVER/FACE A -B D:/FACESWAPS/ASHELYRIVER/FACE B -m D:/FACESWAPS/ASHELYRIVER/TRAIN/MODEL -t original -bs 8 -it 1000000 -s 250 -ss 25000 -ps 100 -L INFO -gui
py_conda_version: conda 4.10.1
py_implementation: CPython
py_version: 3.8.8
py_virtual_env: True
sys_cores: 24
sys_processor: AMD64 Family 23 Model 113 Stepping 0, AuthenticAMD
sys_ram: Total: 32683MB, Available: 23519MB, Used: 9164MB, Free: 23519MB
=============== Pip Packages ===============
absl-py==0.12.0
astunparse==1.6.3
brotlipy==0.7.0
cachetools==4.2.1
certifi==2020.6.20
cffi @ file:///C:/ci/cffi_1613247279197/work
chardet==4.0.0
cryptography @ file:///C:/ci/cryptography_1616769344312/work
cycler==0.10.0
fastcluster==1.1.26
ffmpy==0.2.3
flatbuffers==1.12
gast==0.3.3
google-auth==1.29.0
google-auth-oauthlib==0.4.4
google-pasta==0.2.0
grpcio==1.32.0
h5py==2.10.0
idna==2.10
imageio @ file:///tmp/build/80754af9/imageio_1617700267927/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1609799311556/work
joblib @ file:///tmp/build/80754af9/joblib_1613502643832/work
Keras-Preprocessing==1.1.2
kiwisolver @ file:///C:/ci/kiwisolver_1612282606037/work
Markdown==3.3.4
matplotlib @ file:///C:/ci/matplotlib-base_1592837548929/work
mkl-fft==1.3.0
mkl-random==1.1.1
mkl-service==2.3.0
numpy @ file:///C:/ci/numpy_and_numpy_base_1603466732592/work
nvidia-ml-py3 @ git+https://github.com/deepfakes/nvidia-ml-py3.git@6fc29ac84b32bad877f078cb4a777c1548a00bf6
oauthlib==3.1.0
olefile==0.46
opencv-python==4.5.1.48
opt-einsum==3.3.0
pathlib==1.0.1
Pillow @ file:///C:/ci/pillow_1617386341487/work
protobuf==3.15.8
psutil @ file:///C:/ci/psutil_1612298324802/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycparser @ file:///tmp/build/80754af9/pycparser_1594388511720/work
pyOpenSSL @ file:///tmp/build/80754af9/pyopenssl_1608057966937/work
pyparsing @ file:///home/linux1/recipes/ci/pyparsing_1610983426697/work
PySocks @ file:///C:/ci/pysocks_1605287845585/work
python-dateutil @ file:///home/ktietz/src/ci/python-dateutil_1611928101742/work
pywin32==227
requests==2.25.1
requests-oauthlib==1.3.0
rsa==4.7.2
scikit-learn @ file:///C:/ci/scikit-learn_1614446896245/work
scipy @ file:///C:/ci/scipy_1616703433439/work
sip==4.19.13
six @ file:///C:/ci/six_1605187374963/work
tensorboard==2.4.1
tensorboard-plugin-wit==1.8.0
tensorflow-estimator==2.4.0
tensorflow-gpu==2.4.1
termcolor==1.1.0
threadpoolctl @ file:///tmp/tmp9twdgx9k/threadpoolctl-2.1.0-py3-none-any.whl
tornado @ file:///C:/ci/tornado_1606942392901/work
tqdm @ file:///tmp/build/80754af9/tqdm_1615925068909/work
typing-extensions==3.7.4.3
urllib3 @ file:///tmp/build/80754af9/urllib3_1603305693037/work
Werkzeug==1.0.1
win-inet-pton @ file:///C:/ci/win_inet_pton_1605306167264/work
wincertstore==0.2
wrapt==1.12.1
============== Conda Packages ==============
# packages in environment at C:\Users\TechChef_G\MiniConda3\envs\faceswap:
#
# Name Version Build Channel
absl-py 0.12.0 pypi_0 pypi
astunparse 1.6.3 pypi_0 pypi
blas 1.0 mkl
brotli 1.0.9 ha925a31_2
brotlipy 0.7.0 py38h2bbff1b_1003
ca-certificates 2020.10.14 0 anaconda
cachetools 4.2.1 pypi_0 pypi
certifi 2020.6.20 py38_0 anaconda
cffi 1.14.5 py38hcd4344a_0
chardet 4.0.0 pypi_0 pypi
cryptography 3.4.7 py38h71e12ea_0
cudatoolkit 10.1.243 h74a9793_0
cudnn 7.6.5 cuda10.1_0
cycler 0.10.0 py38_0
fastcluster 1.1.26 py38h251f6bf_2 conda-forge
ffmpeg 4.2.2 he774522_0
ffmpy 0.2.3 pypi_0 pypi
flatbuffers 1.12 pypi_0 pypi
freetype 2.10.4 hd328e21_0
gast 0.3.3 pypi_0 pypi
git 2.23.0 h6bb4b03_0
google-auth 1.29.0 pypi_0 pypi
google-auth-oauthlib 0.4.4 pypi_0 pypi
google-pasta 0.2.0 pypi_0 pypi
grpcio 1.32.0 pypi_0 pypi
h5py 2.10.0 pypi_0 pypi
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
idna 2.10 pypi_0 pypi
imageio 2.9.0 pyhd3eb1b0_0
imageio-ffmpeg 0.4.3 pyhd8ed1ab_0 conda-forge
intel-openmp 2020.2 254
joblib 1.0.1 pyhd3eb1b0_0
jpeg 9b hb83a4c4_2
keras-preprocessing 1.1.2 pypi_0 pypi
kiwisolver 1.3.1 py38hd77b12b_0
libpng 1.6.37 h2a8f88b_0
libtiff 4.1.0 h56a325e_1
lz4-c 1.9.3 h2bbff1b_0
markdown 3.3.4 pypi_0 pypi
matplotlib 3.2.2 0
matplotlib-base 3.2.2 py38h64f37c6_0
mkl 2020.2 256
mkl-service 2.3.0 py38h196d8e1_0
mkl_fft 1.3.0 py38h46781fe_0
mkl_random 1.1.1 py38h47e9c7a_0
numpy 1.19.2 py38hadc3359_0
numpy-base 1.19.2 py38ha3acd2a_0
nvidia-ml-py3 7.352.1 pypi_0 pypi
oauthlib 3.1.0 pypi_0 pypi
olefile 0.46 py_0
opencv-python 4.5.1.48 pypi_0 pypi
openssl 1.1.1k h2bbff1b_0
opt-einsum 3.3.0 pypi_0 pypi
pathlib 1.0.1 py_1
pillow 8.2.0 py38h4fa10fc_0
pip 21.0.1 py38haa95532_0
protobuf 3.15.8 pypi_0 pypi
psutil 5.8.0 py38h2bbff1b_1
pyasn1 0.4.8 pypi_0 pypi
pyasn1-modules 0.2.8 pypi_0 pypi
pycparser 2.20 py_2
pyopenssl 20.0.1 pyhd3eb1b0_1
pyparsing 2.4.7 pyhd3eb1b0_0
pyqt 5.9.2 py38ha925a31_4
pysocks 1.7.1 py38haa95532_0
python 3.8.8 hdbf39b2_5
python-dateutil 2.8.1 pyhd3eb1b0_0
python_abi 3.8 1_cp38 conda-forge
pywin32 227 py38he774522_1
qt 5.9.7 vc14h73c81de_0
requests 2.25.1 pypi_0 pypi
requests-oauthlib 1.3.0 pypi_0 pypi
rsa 4.7.2 pypi_0 pypi
scikit-learn 0.24.1 py38hf11a4ad_0
scipy 1.6.2 py38h14eb087_0
setuptools 52.0.0 py38haa95532_0
sip 4.19.13 py38ha925a31_0
six 1.15.0 py38haa95532_0
sqlite 3.35.4 h2bbff1b_0
tensorboard 2.4.1 pypi_0 pypi
tensorboard-plugin-wit 1.8.0 pypi_0 pypi
tensorflow-estimator 2.4.0 pypi_0 pypi
tensorflow-gpu 2.4.1 pypi_0 pypi
termcolor 1.1.0 pypi_0 pypi
threadpoolctl 2.1.0 pyh5ca1d4c_0
tk 8.6.10 he774522_0
tornado 6.1 py38h2bbff1b_0
tqdm 4.59.0 pyhd3eb1b0_1
typing-extensions 3.7.4.3 pypi_0 pypi
urllib3 1.25.11 py_0 anaconda
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
werkzeug 1.0.1 pypi_0 pypi
wheel 0.36.2 pyhd3eb1b0_0
win_inet_pton 1.1.0 py38haa95532_0
wincertstore 0.2 py38_0
wrapt 1.12.1 pypi_0 pypi
xz 5.2.5 h62dcd97_0
zlib 1.2.11 h62dcd97_4
zstd 1.4.9 h19a0ad4_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: none
amount: 150
radius: 0.3
threshold: 5.0
[writer.ffmpeg]
container: mp4
codec: libx264
crf: 23
preset: medium
tune: none
profile: auto
level: auto
skip_mux: False
[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: False
[align.fan]
batch-size: 12
[detect.cv2_dnn]
confidence: 50
[detect.mtcnn]
minsize: 20
scalefactor: 0.709
batch-size: 8
threshold_1: 0.6
threshold_2: 0.7
threshold_3: 0.7
[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]
centering: face
coverage: 68.75
icnr_init: False
conv_aware_init: False
optimizer: adam
learning_rate: 5e-05
epsilon_exponent: -7
reflect_padding: False
allow_growth: False
mixed_precision: False
nan_protection: True
convert_batchsize: 16
[global.loss]
loss_function: ssim
mask_loss_function: mse
l2_reg_term: 100
eye_multiplier: 3
mouth_multiplier: 2
penalized_mask_loss: True
mask_type: extended
mask_blur_kernel: 3
mask_threshold: 4
learn_mask: False
[model.dfaker]
output_size: 128
[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: best
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: 14
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