ValueError: could not broadcast input array from shape (512,512,3) into shape (512,512)
Posted: Sat Aug 14, 2021 11:13 am
Hi, i am trying to create a video for a weeding so it's vary urgent, i get this error when training with default values:
ValueError: could not broadcast input array from shape (512,512,3) into shape (512,512)
full log:
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08/14/2021 14:04:47 MainProcess _training_0 multithreading start DEBUG Starting thread 2 of 2: '_run_1'
08/14/2021 14:04:47 MainProcess _run_1 generator _minibatch DEBUG Loading minibatch generator: (image_count: 14, side: 'a', do_shuffle: False)
08/14/2021 14:04:47 MainProcess _training_0 multithreading start DEBUG Started all threads '_run': 2
08/14/2021 14:04:47 MainProcess _training_0 _base _load_generator DEBUG Loading generator
08/14/2021 14:04:47 MainProcess _training_0 _base _load_generator DEBUG input_size: 64, output_shapes: [(64, 64, 3)]
08/14/2021 14:04:47 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})
08/14/2021 14:04:47 MainProcess _training_0 generator __init__ DEBUG Initialized TrainingDataGenerator
08/14/2021 14:04:47 MainProcess _training_0 generator minibatch_ab DEBUG Queue batches: (image_count: 14, batchsize: 14, side: 'b', do_shuffle: False, is_preview, False, is_timelapse: True)
08/14/2021 14:04:47 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})
08/14/2021 14:04:47 MainProcess _training_0 augmentation __init__ DEBUG Output sizes: [64]
08/14/2021 14:04:47 MainProcess _training_0 augmentation __init__ DEBUG Initialized ImageAugmentation
08/14/2021 14:04:47 MainProcess _training_0 multithreading __init__ DEBUG Initializing BackgroundGenerator: (target: '_run', thread_count: 2)
08/14/2021 14:04:47 MainProcess _training_0 multithreading __init__ DEBUG Initialized BackgroundGenerator: '_run'
08/14/2021 14:04:47 MainProcess _training_0 multithreading start DEBUG Starting thread(s): '_run'
08/14/2021 14:04:47 MainProcess _training_0 multithreading start DEBUG Starting thread 1 of 2: '_run_0'
08/14/2021 14:04:47 MainProcess _run_0 generator _minibatch DEBUG Loading minibatch generator: (image_count: 14, side: 'b', do_shuffle: False)
08/14/2021 14:04:47 MainProcess _training_0 multithreading start DEBUG Starting thread 2 of 2: '_run_1'
08/14/2021 14:04:47 MainProcess _run_1 generator _minibatch DEBUG Loading minibatch generator: (image_count: 14, side: 'b', do_shuffle: False)
08/14/2021 14:04:47 MainProcess _training_0 multithreading start DEBUG Started all threads '_run': 2
08/14/2021 14:04:47 MainProcess _training_0 _base set_timelapse_feed DEBUG Set time-lapse feed: {'a': <generator object BackgroundGenerator.iterator at 0x0000024B32B3B510>, 'b': <generator object BackgroundGenerator.iterator at 0x0000024B0400F580>}
08/14/2021 14:04:47 MainProcess _training_0 _base _setup DEBUG Set up time-lapse
08/14/2021 14:04:47 MainProcess _training_0 _base output_timelapse DEBUG Getting time-lapse samples
08/14/2021 14:04:47 MainProcess _run_1 generator cache_metadata DEBUG All metadata already cached for: ['.facebook_1517689826874_0.png', '20171020_173613_0.png', '20171020_173615_0.png', '20171020_173616_0.png', '20171020_173618(1)_0.png', '20171020_173618_0.png', '20171020_173623_0.png', '20171020_173625_0.png', '20191016_105025_0.png', '20191019_091247_0.png', '20191019_091249_0.png', '20191019_112043_0.png', '20191019_112044_0.png', '20191019_160201_0.png']
08/14/2021 14:04:47 MainProcess _run_1 generator cache_metadata DEBUG All metadata already cached for: ['Trinity _720P HD_000094_0.png', 'Trinity _720P HD_000095_0.png', 'Trinity _720P HD_000096_0.png', 'Trinity _720P HD_000097_0.png', 'Trinity _720P HD_000098_0.png', 'Trinity _720P HD_000099_0.png', 'Trinity _720P HD_000100_0.png', 'Trinity _720P HD_000101_0.png', 'Trinity _720P HD_000102_0.png', 'Trinity _720P HD_000112_0.png', 'Trinity _720P HD_000116_0.png', 'Trinity _720P HD_000117_0.png', 'Trinity _720P HD_000118_0.png', 'Trinity _720P HD_000119_0.png']
08/14/2021 14:04:47 MainProcess _run_0 augmentation initialize DEBUG Initializing constants. training_size: 384
08/14/2021 14:04:47 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.]]]'}
08/14/2021 14:04:47 MainProcess _run_0 augmentation initialize DEBUG Initializing constants. training_size: 384
08/14/2021 14:04:47 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.]]]'}
08/14/2021 14:04:47 MainProcess _run_0 generator cache_metadata DEBUG All metadata already cached for: ['.facebook_1517689826874_0.png', '20171020_173613_0.png', '20171020_173615_0.png', '20171020_173616_0.png', '20171020_173618(1)_0.png', '20171020_173618_0.png', '20171020_173623_0.png', '20171020_173625_0.png', '20191016_105025_0.png', '20191019_091247_0.png', '20191019_091249_0.png', '20191019_112043_0.png', '20191019_112044_0.png', '20191019_160201_0.png']
08/14/2021 14:04:47 MainProcess _run_0 generator cache_metadata DEBUG All metadata already cached for: ['Trinity _720P HD_000094_0.png', 'Trinity _720P HD_000095_0.png', 'Trinity _720P HD_000096_0.png', 'Trinity _720P HD_000097_0.png', 'Trinity _720P HD_000098_0.png', 'Trinity _720P HD_000099_0.png', 'Trinity _720P HD_000100_0.png', 'Trinity _720P HD_000101_0.png', 'Trinity _720P HD_000102_0.png', 'Trinity _720P HD_000112_0.png', 'Trinity _720P HD_000116_0.png', 'Trinity _720P HD_000117_0.png', 'Trinity _720P HD_000118_0.png', 'Trinity _720P HD_000119_0.png']
08/14/2021 14:04:47 MainProcess _training_0 _base compile_sample DEBUG Compiling samples: (side: 'a', samples: 14)
08/14/2021 14:04:47 MainProcess _training_0 _base compile_sample DEBUG Compiling samples: (side: 'b', samples: 14)
08/14/2021 14:04:47 MainProcess _training_0 _base output_timelapse DEBUG Got time-lapse samples: {'a': 3, 'b': 3}
08/14/2021 14:04:47 MainProcess _training_0 _base show_sample DEBUG Showing sample
08/14/2021 14:04:47 MainProcess _training_0 _base _get_predictions DEBUG Getting Predictions
08/14/2021 14:04:47 MainProcess _run_1 generator cache_metadata DEBUG All metadata already cached for: ['.facebook_1517689826874_0.png', '20171020_173613_0.png', '20171020_173615_0.png', '20171020_173616_0.png', '20171020_173618(1)_0.png', '20171020_173618_0.png', '20171020_173623_0.png', '20171020_173625_0.png', '20191016_105025_0.png', '20191019_091247_0.png', '20191019_091249_0.png', '20191019_112043_0.png', '20191019_112044_0.png', '20191019_160201_0.png']
08/14/2021 14:04:47 MainProcess _run_1 generator cache_metadata DEBUG All metadata already cached for: ['Trinity _720P HD_000094_0.png', 'Trinity _720P HD_000095_0.png', 'Trinity _720P HD_000096_0.png', 'Trinity _720P HD_000097_0.png', 'Trinity _720P HD_000098_0.png', 'Trinity _720P HD_000099_0.png', 'Trinity _720P HD_000100_0.png', 'Trinity _720P HD_000101_0.png', 'Trinity _720P HD_000102_0.png', 'Trinity _720P HD_000112_0.png', 'Trinity _720P HD_000116_0.png', 'Trinity _720P HD_000117_0.png', 'Trinity _720P HD_000118_0.png', 'Trinity _720P HD_000119_0.png']
08/14/2021 14:04:48 MainProcess _training_0 _base _get_predictions DEBUG Returning predictions: {'a_a': (14, 64, 64, 3), 'b_b': (14, 64, 64, 3), 'a_b': (14, 64, 64, 3), 'b_a': (14, 64, 64, 3)}
08/14/2021 14:04:48 MainProcess _training_0 _base _to_full_frame DEBUG side: 'a', number of sample arrays: 3, prediction.shapes: [(14, 64, 64, 3), (14, 64, 64, 3)])
08/14/2021 14:04:48 MainProcess _training_0 _base _process_full DEBUG full_size: 384, prediction_size: 64, color: (0, 0, 255)
08/14/2021 14:04:48 MainProcess _training_0 _base _resize_sample DEBUG Resizing sample: (side: 'a', sample.shape: (14, 384, 384, 3), target_size: 92, scale: 0.23958333333333334)
08/14/2021 14:04:48 MainProcess _training_0 _base _resize_sample DEBUG Resized sample: (side: 'a' shape: (14, 92, 92, 3))
08/14/2021 14:04:48 MainProcess _training_0 _base _process_full DEBUG Overlayed background. Shape: (14, 92, 92, 3)
08/14/2021 14:04:48 MainProcess _training_0 _base _compile_masked DEBUG masked shapes: [(14, 64, 64, 3), (14, 64, 64, 3), (14, 64, 64, 3)]
08/14/2021 14:04:48 MainProcess _training_0 _base _overlay_foreground DEBUG Overlayed foreground. Shape: (14, 92, 92, 3)
08/14/2021 14:04:48 MainProcess _training_0 _base _overlay_foreground DEBUG Overlayed foreground. Shape: (14, 92, 92, 3)
08/14/2021 14:04:48 MainProcess _training_0 _base _overlay_foreground DEBUG Overlayed foreground. Shape: (14, 92, 92, 3)
08/14/2021 14:04:48 MainProcess _training_0 _base _get_headers DEBUG side: 'a', width: 92
08/14/2021 14:04:48 MainProcess _training_0 _base _get_headers DEBUG height: 20, total_width: 276
08/14/2021 14:04:48 MainProcess _training_0 _base _get_headers DEBUG texts: ['Original (A)', 'Original > Original', 'Original > Swap'], text_sizes: [(52, 7), (84, 7), (73, 7)], text_x: [20, 96, 193], text_y: 13
08/14/2021 14:04:48 MainProcess _training_0 _base _get_headers DEBUG header_box.shape: (20, 276, 3)
08/14/2021 14:04:48 MainProcess _training_0 _base _to_full_frame DEBUG side: 'b', number of sample arrays: 3, prediction.shapes: [(14, 64, 64, 3), (14, 64, 64, 3)])
08/14/2021 14:04:48 MainProcess _training_0 _base _process_full DEBUG full_size: 384, prediction_size: 64, color: (0, 0, 255)
08/14/2021 14:04:48 MainProcess _training_0 _base _resize_sample DEBUG Resizing sample: (side: 'b', sample.shape: (14, 384, 384, 3), target_size: 92, scale: 0.23958333333333334)
08/14/2021 14:04:48 MainProcess _training_0 _base _resize_sample DEBUG Resized sample: (side: 'b' shape: (14, 92, 92, 3))
08/14/2021 14:04:48 MainProcess _training_0 _base _process_full DEBUG Overlayed background. Shape: (14, 92, 92, 3)
08/14/2021 14:04:48 MainProcess _training_0 _base _compile_masked DEBUG masked shapes: [(14, 64, 64, 3), (14, 64, 64, 3), (14, 64, 64, 3)]
08/14/2021 14:04:48 MainProcess _training_0 _base _overlay_foreground DEBUG Overlayed foreground. Shape: (14, 92, 92, 3)
08/14/2021 14:04:48 MainProcess _training_0 _base _overlay_foreground DEBUG Overlayed foreground. Shape: (14, 92, 92, 3)
08/14/2021 14:04:48 MainProcess _training_0 _base _overlay_foreground DEBUG Overlayed foreground. Shape: (14, 92, 92, 3)
08/14/2021 14:04:48 MainProcess _training_0 _base _get_headers DEBUG side: 'b', width: 92
08/14/2021 14:04:48 MainProcess _training_0 _base _get_headers DEBUG height: 20, total_width: 276
08/14/2021 14:04:48 MainProcess _training_0 _base _get_headers DEBUG texts: ['Swap (B)', 'Swap > Swap', 'Swap > Original'], text_sizes: [(43, 7), (63, 7), (73, 7)], text_x: [24, 106, 193], text_y: 13
08/14/2021 14:04:48 MainProcess _training_0 _base _get_headers DEBUG header_box.shape: (20, 276, 3)
08/14/2021 14:04:48 MainProcess _training_0 _base _duplicate_headers DEBUG side: a header.shape: (20, 276, 3)
08/14/2021 14:04:48 MainProcess _training_0 _base _duplicate_headers DEBUG side: b header.shape: (20, 276, 3)
08/14/2021 14:04:48 MainProcess _training_0 _base _stack_images DEBUG Stack images
08/14/2021 14:04:48 MainProcess _training_0 _base get_transpose_axes DEBUG Even number of images to stack
08/14/2021 14:04:48 MainProcess _training_0 _base _stack_images DEBUG Stacked images
08/14/2021 14:04:48 MainProcess _training_0 _base show_sample DEBUG Compiled sample
08/14/2021 14:04:48 MainProcess _training_0 _base output_timelapse DEBUG Created time-lapse: 'C:\Users\eladi\Downloads\orit\movie\Trinity _720P HD\Timelapse_neo_elad\1628939088.jpg'
08/14/2021 14:04:48 MainProcess _training_0 train _run_training_cycle DEBUG Save Iteration: (iteration: 1
08/14/2021 14:04:48 MainProcess _training_0 _base _save DEBUG Backing up and saving models
08/14/2021 14:04:48 MainProcess _training_0 _base _get_save_averages DEBUG Getting save averages
08/14/2021 14:04:48 MainProcess _training_0 _base _get_save_averages DEBUG Average losses since last save: [0.3277677595615387, 0.4694632589817047]
08/14/2021 14:04:48 MainProcess _training_0 _base _should_backup DEBUG Set initial save iteration loss average for 'a': 0.3277677595615387
08/14/2021 14:04:48 MainProcess _training_0 _base _should_backup DEBUG Set initial save iteration loss average for 'b': 0.4694632589817047
08/14/2021 14:04:48 MainProcess _training_0 _base _should_backup DEBUG Updated lowest historical save iteration averages from: {'a': 0.3277677595615387, 'b': 0.4694632589817047} to: {'a': 0.3277677595615387, 'b': 0.4694632589817047}
08/14/2021 14:04:48 MainProcess _training_0 _base _should_backup DEBUG Should backup: True
08/14/2021 14:04:48 MainProcess _training_0 _base save DEBUG Saving State
08/14/2021 14:04:48 MainProcess _training_0 serializer save DEBUG filename: C:\Users\eladi\Downloads\orit\movie\matrix_train\neo_to_elad_model\original_state.json, data type: <class 'dict'>
08/14/2021 14:04:48 MainProcess _training_0 serializer _check_extension DEBUG Original filename: 'C:\Users\eladi\Downloads\orit\movie\matrix_train\neo_to_elad_model\original_state.json', final filename: 'C:\Users\eladi\Downloads\orit\movie\matrix_train\neo_to_elad_model\original_state.json'
08/14/2021 14:04:48 MainProcess _training_0 serializer marshal DEBUG data type: <class 'dict'>
08/14/2021 14:04:48 MainProcess _training_0 serializer marshal DEBUG returned data type: <class 'bytes'>
08/14/2021 14:04:48 MainProcess _training_0 _base save DEBUG Saved State
08/14/2021 14:04:48 MainProcess _training_0 _base _save INFO [Saved models] - Average loss since last save: face_a: 0.32777, face_b: 0.46946
08/14/2021 14:04:51 MainProcess _run_1 generator cache_metadata DEBUG All metadata already cached for: ['Trinity _720P HD_002985_0.png', 'Trinity _720P HD_000804_0.png', 'Trinity _720P HD_000629_1.png', 'Trinity _720P HD_000664_0.png', 'Trinity _720P HD_001898_0.png', 'Trinity _720P HD_002510_0.png', 'Trinity _720P HD_000585_1.png', 'Trinity _720P HD_000803_0.png', 'Trinity _720P HD_002295_0.png', 'Trinity _720P HD_003337_1.png', 'Trinity _720P HD_001676_1.png', 'Trinity _720P HD_001529_0.png', 'Trinity _720P HD_002507_0.png', 'Trinity _720P HD_002441_0.png', 'Trinity _720P HD_001522_0.png', 'Trinity _720P HD_002171_0.png']
08/14/2021 14:04:51 MainProcess _run_1 generator cache_metadata DEBUG All metadata already cached for: ['IMG_20181127_172451_0.png', 'IMG_20191020_090223_0.png', '20200627_144739_0.png', '_DSC3963-HDR-2_0.png', '20191019_160204(0)_0.png', 'IMG_20190906_112231_0.png', 'IMG_20191017_143405_0.png', '20200627_144708_0.png', 'IMG_20190728_194355_0.png', 'IMG_20171121_231840_0.png', '20200627_144714_0.png', 'IMG_20191018_124504_0.png', 'IMG_20181008_154640_0.png', 'IMG_20191018_173035_0.png', '_DSC4823_0.png', '_DSC4594_0.png']
08/14/2021 14:04:57 MainProcess _run_1 generator cache_metadata DEBUG All metadata already cached for: ['IMG_20190728_193931_0.png', 'Screenshot_2018-06-24-08-11-43-419_com.okcupid.okcupid_0.png', 'IMG_20190713_010624_0.png', 'IMG_20190728_194320_0.png', 'IMG_20191020_204213_0.png', '20171020_173618_0.png', 'IMG_20191020_204216_0.png', 'IMG_20191020_201234_0.png', 'IMG_20191018_133519_0.png', '_DSC4595_0.png', 'IMG-20210621-WA0080_0.png', 'IMG_20190728_194326_0.png', 'IMG_20190728_195623_0.png', 'IMG_20190906_112224_0.png', '20200717_190636_0.png', '_DSC3122-HDR-2_0.png']
08/14/2021 14:05:00 MainProcess _run_0 multithreading run DEBUG Error in thread (_run_0): could not broadcast input array from shape (512,512,3) into shape (512,512)
08/14/2021 14:05:03 MainProcess _training_0 multithreading check_and_raise_error DEBUG Thread error caught: [(<class 'ValueError'>, ValueError('could not broadcast input array from shape (512,512,3) into shape (512,512)'), <traceback object at 0x0000024B3AE48680>)]
08/14/2021 14:05:03 MainProcess _training_0 multithreading run DEBUG Error in thread (_training_0): could not broadcast input array from shape (512,512,3) into shape (512,512)
08/14/2021 14:05:03 MainProcess _run_1 multithreading run DEBUG Error in thread (_run_1): could not broadcast input array from shape (512,512,3) into shape (512,512)
08/14/2021 14:05:03 MainProcess MainThread train _monitor DEBUG Thread error detected
08/14/2021 14:05:03 MainProcess MainThread train _monitor DEBUG Closed Monitor
08/14/2021 14:05:03 MainProcess MainThread train _end_thread DEBUG Ending Training thread
08/14/2021 14:05:03 MainProcess MainThread train _end_thread CRITICAL Error caught! Exiting...
08/14/2021 14:05:03 MainProcess MainThread multithreading join DEBUG Joining Threads: '_training'
08/14/2021 14:05:03 MainProcess MainThread multithreading join DEBUG Joining Thread: '_training_0'
08/14/2021 14:05:03 MainProcess MainThread multithreading join ERROR Caught exception in thread: '_training_0'
Traceback (most recent call last):
File "C:\Users\eladi\faceswap\lib\cli\launcher.py", line 182, in execute_script
process.process()
File "C:\Users\eladi\faceswap\scripts\train.py", line 190, in process
self._end_thread(thread, err)
File "C:\Users\eladi\faceswap\scripts\train.py", line 230, in _end_thread
thread.join()
File "C:\Users\eladi\faceswap\lib\multithreading.py", line 121, in join
raise thread.err[1].with_traceback(thread.err[2])
File "C:\Users\eladi\faceswap\lib\multithreading.py", line 37, in run
self._target(*self._args, **self._kwargs)
File "C:\Users\eladi\faceswap\scripts\train.py", line 252, in _training
raise err
File "C:\Users\eladi\faceswap\scripts\train.py", line 242, in _training
self._run_training_cycle(model, trainer)
File "C:\Users\eladi\faceswap\scripts\train.py", line 327, in _run_training_cycle
trainer.train_one_step(viewer, timelapse)
File "C:\Users\eladi\faceswap\plugins\train\trainer\_base.py", line 191, in train_one_step
model_inputs, model_targets = self._feeder.get_batch()
File "C:\Users\eladi\faceswap\plugins\train\trainer\_base.py", line 416, in get_batch
batch = next(self._feeds[side])
File "C:\Users\eladi\faceswap\lib\multithreading.py", line 156, in iterator
self.check_and_raise_error()
File "C:\Users\eladi\faceswap\lib\multithreading.py", line 84, in check_and_raise_error
raise error[1].with_traceback(error[2])
File "C:\Users\eladi\faceswap\lib\multithreading.py", line 37, in run
self._target(*self._args, **self._kwargs)
File "C:\Users\eladi\faceswap\lib\multithreading.py", line 145, in _run
for item in self.generator(*self._gen_args, **self._gen_kwargs):
File "C:\Users\eladi\faceswap\lib\training\generator.py", line 598, in _minibatch
yield self._process_batch(img_paths, side)
File "C:\Users\eladi\faceswap\lib\training\generator.py", line 621, in _process_batch
batch = self._face_cache.cache_metadata(filenames)
File "C:\Users\eladi\faceswap\lib\training\generator.py", line 205, in cache_metadata
batch, metadata = read_image_batch(filenames, with_metadata=True)
File "C:\Users\eladi\faceswap\lib\image.py", line 359, in read_image_batch
batch = np.array(batch)
ValueError: could not broadcast input array from shape (512,512,3) into shape (512,512)
============ System Information ============
encoding: cp1252
git_branch: Not Found
git_commits: Not Found
gpu_cuda: 11.4
gpu_cudnn: No global version found. Check Conda packages for Conda cuDNN
gpu_devices: GPU_0: NVIDIA GeForce RTX 3060 Ti
gpu_devices_active: GPU_0
gpu_driver: 471.41
gpu_vram: GPU_0: 8192MB
os_machine: AMD64
os_platform: Windows-10-10.0.19043-SP0
os_release: 10
py_command: C:\Users\eladi\faceswap\faceswap.py train -A C:/Users/eladi/Downloads/orit/movie/matrix_train/neo -B C:\Users\eladi\Downloads\orit\movie\elad_train -m C:/Users/eladi/Downloads/orit/movie/matrix_train/neo_to_elad_model -t original -bs 16 -it 1000000 -s 250 -ss 25000 -tia C:/Users/eladi/Downloads/orit/movie/matrix_train/neo -tib C:/Users/eladi/Downloads/orit/movie/elad_train -to C:/Users/eladi/Downloads/orit/movie/Trinity _720P HD/Timelapse_neo_elad -ps 100 -L INFO -gui
py_conda_version: conda 4.10.3
py_implementation: CPython
py_version: 3.8.11
py_virtual_env: True
sys_cores: 16
sys_processor: Intel64 Family 6 Model 165 Stepping 5, GenuineIntel
sys_ram: Total: 32701MB, Available: 25396MB, Used: 7305MB, Free: 25396MB
=============== Pip Packages ===============
absl-py==0.13.0
astunparse==1.6.3
cachetools==4.2.2
certifi==2021.5.30
charset-normalizer==2.0.4
colorama==0.4.4
cycler==0.10.0
fastcluster==1.1.26
ffmpy==0.2.3
flatbuffers==1.12
gast==0.3.3
google-auth==1.34.0
google-auth-oauthlib==0.4.5
google-pasta==0.2.0
grpcio==1.32.0
h5py==2.10.0
idna==3.2
imageio @ file:///tmp/build/80754af9/imageio_1617700267927/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1621542018480/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==3.1.1
olefile==0.46
opencv-python==4.5.3.56
opt-einsum==3.3.0
pathlib==1.0.1
Pillow @ file:///C:/ci/pillow_1625663293593/work
protobuf==3.17.3
psutil @ file:///C:/ci/psutil_1612298324802/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pyparsing @ file:///home/linux1/recipes/ci/pyparsing_1610983426697/work
python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work
pywin32==228
requests==2.26.0
requests-oauthlib==1.3.0
rsa==4.7.2
scikit-learn @ file:///C:/ci/scikit-learn_1622739500535/work
scipy @ file:///C:/ci/scipy_1616703433439/work
sip==4.19.13
six==1.15.0
tensorboard==2.6.0
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.0
tensorflow-estimator==2.4.0
tensorflow-gpu==2.4.3
termcolor==1.1.0
threadpoolctl @ file:///Users/ktietz/demo/mc3/conda-bld/threadpoolctl_1628668762525/work
tornado @ file:///C:/ci/tornado_1606942392901/work
tqdm @ file:///tmp/build/80754af9/tqdm_1627710282869/work
typing-extensions==3.7.4.3
urllib3==1.26.6
Werkzeug==2.0.1
wincertstore==0.2
wrapt==1.12.1
============== Conda Packages ==============
# packages in environment at C:\Users\eladi\MiniConda3\envs\faceswap:
#
# Name Version Build Channel
absl-py 0.13.0 pypi_0 pypi
astunparse 1.6.3 pypi_0 pypi
blas 1.0 mkl
ca-certificates 2021.7.5 haa95532_1
cachetools 4.2.2 pypi_0 pypi
certifi 2021.5.30 py38haa95532_0
charset-normalizer 2.0.4 pypi_0 pypi
colorama 0.4.4 pypi_0 pypi
cycler 0.10.0 py38_0
fastcluster 1.1.26 py38h251f6bf_2 conda-forge
ffmpeg 4.3.1 ha925a31_0 conda-forge
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 1.34.0 pypi_0 pypi
google-auth-oauthlib 0.4.5 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 3.2 pypi_0 pypi
imageio 2.9.0 pyhd3eb1b0_0
imageio-ffmpeg 0.4.4 pyhd8ed1ab_0 conda-forge
intel-openmp 2021.3.0 haa95532_3372
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 4.2.0 hd0e1b90_0
lz4-c 1.9.3 h2bbff1b_1
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 3.1.1 pypi_0 pypi
olefile 0.46 py_0
opencv-python 4.5.3.56 pypi_0 pypi
openssl 1.1.1k h2bbff1b_0
opt-einsum 3.3.0 pypi_0 pypi
pathlib 1.0.1 py_1
pillow 8.3.1 py38h4fa10fc_0
pip 21.2.2 py38haa95532_0
protobuf 3.17.3 pypi_0 pypi
psutil 5.8.0 py38h2bbff1b_1
pyasn1 0.4.8 pypi_0 pypi
pyasn1-modules 0.2.8 pypi_0 pypi
pyparsing 2.4.7 pyhd3eb1b0_0
pyqt 5.9.2 py38ha925a31_4
python 3.8.11 h6244533_1
python-dateutil 2.8.2 pyhd3eb1b0_0
python_abi 3.8 2_cp38 conda-forge
pywin32 228 py38hbaba5e8_1
qt 5.9.7 vc14h73c81de_0
requests 2.26.0 pypi_0 pypi
requests-oauthlib 1.3.0 pypi_0 pypi
rsa 4.7.2 pypi_0 pypi
scikit-learn 0.24.2 py38hf11a4ad_1
scipy 1.6.2 py38h14eb087_0
setuptools 52.0.0 py38haa95532_0
sip 4.19.13 py38ha925a31_0
six 1.15.0 pypi_0 pypi
sqlite 3.36.0 h2bbff1b_0
tensorboard 2.6.0 pypi_0 pypi
tensorboard-data-server 0.6.1 pypi_0 pypi
tensorboard-plugin-wit 1.8.0 pypi_0 pypi
tensorflow-estimator 2.4.0 pypi_0 pypi
tensorflow-gpu 2.4.3 pypi_0 pypi
termcolor 1.1.0 pypi_0 pypi
threadpoolctl 2.2.0 pyhbf3da8f_0
tk 8.6.10 he774522_0
tornado 6.1 py38h2bbff1b_0
tqdm 4.62.0 pyhd3eb1b0_1
typing-extensions 3.7.4.3 pypi_0 pypi
urllib3 1.26.6 pypi_0 pypi
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
werkzeug 2.0.1 pypi_0 pypi
wheel 0.36.2 pyhd3eb1b0_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
=============== State File =================
{
"name": "original",
"sessions": {
"1": {
"timestamp": 1628939071.7473178,
"no_logs": false,
"loss_names": [
"total",
"face_a",
"face_b"
],
"batchsize": 16,
"iterations": 1,
"config": {
"learning_rate": 5e-05,
"epsilon_exponent": -7,
"allow_growth": false,
"nan_protection": true,
"convert_batchsize": 16,
"eye_multiplier": 3,
"mouth_multiplier": 2
}
}
},
"lowest_avg_loss": {
"a": 0.3277677595615387,
"b": 0.4694632589817047
},
"iterations": 1,
"config": {
"centering": "face",
"coverage": 68.75,
"optimizer": "adam",
"learning_rate": 5e-05,
"epsilon_exponent": -7,
"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,
"lowmem": false
}
}
================= 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.bisenet_fp]
batch-size: 8
include_ears: False
include_hair: False
include_glasses: True
[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.phaze_a]
output_size: 128
shared_fc: none
enable_gblock: True
split_fc: True
split_gblock: False
split_decoders: False
enc_architecture: fs_original
enc_scaling: 40
enc_load_weights: True
bottleneck_type: dense
bottleneck_norm: none
bottleneck_size: 1024
bottleneck_in_encoder: True
fc_depth: 1
fc_min_filters: 1024
fc_max_filters: 1024
fc_dimensions: 4
fc_filter_slope: -0.5
fc_dropout: 0.0
fc_upsampler: upsample2d
fc_upsamples: 1
fc_upsample_filters: 512
fc_gblock_depth: 3
fc_gblock_min_nodes: 512
fc_gblock_max_nodes: 512
fc_gblock_filter_slope: -0.5
fc_gblock_dropout: 0.0
dec_upscale_method: subpixel
dec_norm: none
dec_min_filters: 64
dec_max_filters: 512
dec_filter_slope: -0.45
dec_res_blocks: 1
dec_output_kernel: 5
dec_gaussian: True
dec_skip_last_residual: True
freeze_layers: keras_encoder
load_layers: encoder
fs_original_depth: 4
fs_original_min_filters: 128
fs_original_max_filters: 1024
mobilenet_width: 1.0
mobilenet_depth: 1
mobilenet_dropout: 0.001
[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