hello. im new to this and im trying to learn. can anyone tell me whats going wrong ?
crash repport:
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06/17/2023 00:15:34 MainProcess _training api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000026044AE0C10>, weight: 1.0, mask_channel: 3)
06/17/2023 00:15:34 MainProcess _training api converted_call DEBUG Applying mask from channel 3
06/17/2023 00:15:34 MainProcess _training api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000026044AE0070>, weight: 3.0, mask_channel: 4)
06/17/2023 00:15:34 MainProcess _training api converted_call DEBUG Applying mask from channel 4
06/17/2023 00:15:34 MainProcess _training api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000026044BAF880>, weight: 2.0, mask_channel: 5)
06/17/2023 00:15:34 MainProcess _training api converted_call DEBUG Applying mask from channel 5
06/17/2023 00:15:34 MainProcess _training api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000026044AE0850>, weight: 1.0, mask_channel: 3)
06/17/2023 00:15:35 MainProcess _training api converted_call DEBUG Applying mask from channel 3
06/17/2023 00:15:35 MainProcess _training api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000026044BAF070>, weight: 3.0, mask_channel: 4)
06/17/2023 00:15:35 MainProcess _training api converted_call DEBUG Applying mask from channel 4
06/17/2023 00:15:35 MainProcess _training api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x0000026044B5AE20>, weight: 2.0, mask_channel: 5)
06/17/2023 00:15:35 MainProcess _training api converted_call DEBUG Applying mask from channel 5
06/17/2023 00:15:43 MainProcess _training train _run_training_cycle DEBUG Saving (save_iterations: True, save_now: False) Iteration: (iteration: 1)
06/17/2023 00:15:43 MainProcess _training io save DEBUG Backing up and saving models
06/17/2023 00:15:43 MainProcess _training io _get_save_averages DEBUG Getting save averages
06/17/2023 00:15:43 MainProcess _training io _get_save_averages DEBUG Average losses since last save: [0.2822922170162201, 0.3062407970428467]
06/17/2023 00:15:43 MainProcess _training io _should_backup DEBUG Set initial save iteration loss average for 'a': 0.2822922170162201
06/17/2023 00:15:43 MainProcess _training io _should_backup DEBUG Set initial save iteration loss average for 'b': 0.3062407970428467
06/17/2023 00:15:43 MainProcess _training io _should_backup DEBUG Updated lowest historical save iteration averages from: {'a': 0.2822922170162201, 'b': 0.3062407970428467} to: {'a': 0.2822922170162201, 'b': 0.3062407970428467}
06/17/2023 00:15:43 MainProcess _training io _should_backup DEBUG Should backup: True
06/17/2023 00:15:43 MainProcess _training attrs create DEBUG Creating converter from 5 to 3
06/17/2023 00:15:44 MainProcess _training model save DEBUG Saving State
06/17/2023 00:15:44 MainProcess _training serializer save DEBUG filename: C:\Users\DanF\OneDrive - ViaUC\Skrivebord\ \deepf\projekt 001\03 model dir\original_state.json, data type: <class 'dict'>
06/17/2023 00:15:44 MainProcess _training serializer _check_extension DEBUG Original filename: 'C:\Users\DanF\OneDrive - ViaUC\Skrivebord\ \deepf\projekt 001\03 model dir\original_state.json', final filename: 'C:\Users\DanF\OneDrive - ViaUC\Skrivebord\ \deepf\projekt 001\03 model dir\original_state.json'
06/17/2023 00:15:44 MainProcess _training serializer marshal DEBUG data type: <class 'dict'>
06/17/2023 00:15:44 MainProcess _training serializer marshal DEBUG returned data type: <class 'bytes'>
06/17/2023 00:15:44 MainProcess _training model save DEBUG Saved State
06/17/2023 00:15:44 MainProcess _training io save INFO [Saved models] - Average loss since last save: face_a: 0.28229, face_b: 0.30624
06/17/2023 00:15:44 MainProcess _training _base generate_preview DEBUG Generating preview (is_timelapse: False)
06/17/2023 00:15:44 MainProcess _training _base generate_preview DEBUG Generated samples: is_timelapse: False, images: {'feed': {'a': (14, 64, 64, 3), 'b': (14, 64, 64, 3)}, 'samples': {'a': (14, 74, 74, 3), 'b': (14, 74, 74, 3)}, 'sides': {'a': (14, 64, 64, 1), 'b': (14, 64, 64, 1)}}
06/17/2023 00:15:44 MainProcess _training _base compile_sample DEBUG Compiling samples: (side: 'a', samples: 14)
06/17/2023 00:15:44 MainProcess _training _base compile_sample DEBUG Compiling samples: (side: 'b', samples: 14)
06/17/2023 00:15:44 MainProcess _training _base compile_sample DEBUG Compiled Samples: {'a': [(14, 64, 64, 3), (14, 74, 74, 3), (14, 64, 64, 1)], 'b': [(14, 64, 64, 3), (14, 74, 74, 3), (14, 64, 64, 1)]}
06/17/2023 00:15:44 MainProcess _training _base show_sample DEBUG Showing sample
06/17/2023 00:15:44 MainProcess _training _base _get_predictions DEBUG Getting Predictions
06/17/2023 00:15:46 MainProcess _training _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)}
06/17/2023 00:15:46 MainProcess _training _base _to_full_frame DEBUG side: 'a', number of sample arrays: 3, prediction.shapes: [(14, 64, 64, 3), (14, 64, 64, 3)])
06/17/2023 00:15:46 MainProcess _training _base _process_full DEBUG full_size: 74, prediction_size: 64, color: (0.0, 0.0, 1.0)
06/17/2023 00:15:46 MainProcess _training _base _resize_sample DEBUG Resizing sample: (side: 'a', sample.shape: (14, 74, 74, 3), target_size: 72, scale: 0.972972972972973)
06/17/2023 00:15:46 MainProcess _training _base _resize_sample DEBUG Resized sample: (side: 'a' shape: (14, 72, 72, 3))
06/17/2023 00:15:46 MainProcess _training _base _process_full DEBUG Overlayed background. Shape: (14, 72, 72, 3)
06/17/2023 00:15:46 MainProcess _training _base _compile_masked DEBUG masked shapes: [(14, 64, 64, 3), (14, 64, 64, 3), (14, 64, 64, 3)]
06/17/2023 00:15:46 MainProcess _training _base _overlay_foreground DEBUG Overlayed foreground. Shape: (14, 72, 72, 3)
06/17/2023 00:15:46 MainProcess _training _base _overlay_foreground DEBUG Overlayed foreground. Shape: (14, 72, 72, 3)
06/17/2023 00:15:46 MainProcess _training _base _overlay_foreground DEBUG Overlayed foreground. Shape: (14, 72, 72, 3)
06/17/2023 00:15:46 MainProcess _training _base _get_headers DEBUG side: 'a', width: 72
06/17/2023 00:15:46 MainProcess _training _base _get_headers DEBUG height: 16, total_width: 216
06/17/2023 00:15:46 MainProcess _training _base _get_headers DEBUG texts: ['Original (A)', 'Original > Original', 'Original > Swap'], text_sizes: [(41, 6), (66, 6), (58, 6)], text_x: [15, 75, 151], text_y: 11
06/17/2023 00:15:46 MainProcess _training _base _get_headers DEBUG header_box.shape: (16, 216, 3)
06/17/2023 00:15:46 MainProcess _training _base _to_full_frame DEBUG side: 'b', number of sample arrays: 3, prediction.shapes: [(14, 64, 64, 3), (14, 64, 64, 3)])
06/17/2023 00:15:46 MainProcess _training _base _process_full DEBUG full_size: 74, prediction_size: 64, color: (0.0, 0.0, 1.0)
06/17/2023 00:15:46 MainProcess _training _base _resize_sample DEBUG Resizing sample: (side: 'b', sample.shape: (14, 74, 74, 3), target_size: 72, scale: 0.972972972972973)
06/17/2023 00:15:46 MainProcess _training _base _resize_sample DEBUG Resized sample: (side: 'b' shape: (14, 72, 72, 3))
06/17/2023 00:15:46 MainProcess _training _base _process_full DEBUG Overlayed background. Shape: (14, 72, 72, 3)
06/17/2023 00:15:46 MainProcess _training _base _compile_masked DEBUG masked shapes: [(14, 64, 64, 3), (14, 64, 64, 3), (14, 64, 64, 3)]
06/17/2023 00:15:46 MainProcess _training _base _overlay_foreground DEBUG Overlayed foreground. Shape: (14, 72, 72, 3)
06/17/2023 00:15:46 MainProcess _training _base _overlay_foreground DEBUG Overlayed foreground. Shape: (14, 72, 72, 3)
06/17/2023 00:15:46 MainProcess _training _base _overlay_foreground DEBUG Overlayed foreground. Shape: (14, 72, 72, 3)
06/17/2023 00:15:46 MainProcess _training _base _get_headers DEBUG side: 'b', width: 72
06/17/2023 00:15:46 MainProcess _training _base _get_headers DEBUG height: 16, total_width: 216
06/17/2023 00:15:46 MainProcess _training _base _get_headers DEBUG texts: ['Swap (B)', 'Swap > Swap', 'Swap > Original'], text_sizes: [(34, 6), (50, 6), (58, 6)], text_x: [19, 83, 151], text_y: 11
06/17/2023 00:15:46 MainProcess _training _base _get_headers DEBUG header_box.shape: (16, 216, 3)
06/17/2023 00:15:46 MainProcess _training _base _duplicate_headers DEBUG side: a header.shape: (16, 216, 3)
06/17/2023 00:15:46 MainProcess _training _base _duplicate_headers DEBUG side: b header.shape: (16, 216, 3)
06/17/2023 00:15:46 MainProcess _training _base _stack_images DEBUG Stack images
06/17/2023 00:15:46 MainProcess _training _base get_transpose_axes DEBUG Even number of images to stack
06/17/2023 00:15:46 MainProcess _training _base _stack_images DEBUG Stacked images
06/17/2023 00:15:46 MainProcess _training _base _compile_preview DEBUG Compiled sample
06/17/2023 00:15:46 MainProcess _training train _show DEBUG Updating preview: (name: Training - 'S': Save Now. 'R': Refresh Preview. 'M': Toggle Mask. 'F': Toggle Screen Fit-Actual Size. 'ENTER': Save and Quit)
06/17/2023 00:15:46 MainProcess _training train _show DEBUG Generating preview for GUI
06/17/2023 00:15:46 MainProcess _training train _show DEBUG Generated preview for GUI: 'C:\Users\DanF\faceswap\lib\gui\.cache\preview\.gui_training_preview.png'
06/17/2023 00:15:46 MainProcess _training train _show DEBUG Updated preview: (name: Training - 'S': Save Now. 'R': Refresh Preview. 'M': Toggle Mask. 'F': Toggle Screen Fit-Actual Size. 'ENTER': Save and Quit)
06/17/2023 00:15:46 MainProcess _training train _run_training_cycle INFO [Preview Updated]
06/17/2023 00:16:02 MainProcess _run_0 cache cache_metadata VERBOSE Cache filled: 'C:\Users\DanF\OneDrive - ViaUC\Skrivebord\ \deepf\projekt 001\02 model ekstract'
06/17/2023 00:16:02 MainProcess ThreadPoolExecutor-325_0 image read_image ERROR Error while reading image. This can be caused by special characters in the filename or a corrupt image file: 'C:\Users\DanF\OneDrive - ViaUC\Skrivebord\ \deepf\projekt 001\02 model ekstract\test vid_001465_0.png'. Original error message: Image is None
06/17/2023 00:16:02 MainProcess ThreadPoolExecutor-325_1 image read_image ERROR Error while reading image. This can be caused by special characters in the filename or a corrupt image file: 'C:\Users\DanF\OneDrive - ViaUC\Skrivebord\ \deepf\projekt 001\02 model ekstract\test vid_000902_0.png'. Original error message: Image is None
06/17/2023 00:16:02 MainProcess ThreadPoolExecutor-325_0 image read_image ERROR Error while reading image. This can be caused by special characters in the filename or a corrupt image file: 'C:\Users\DanF\OneDrive - ViaUC\Skrivebord\ \deepf\projekt 001\02 model ekstract\test vid_001255_0.png'. Original error message: Image is None
06/17/2023 00:16:02 MainProcess ThreadPoolExecutor-325_2 image read_image ERROR Error while reading image. This can be caused by special characters in the filename or a corrupt image file: 'C:\Users\DanF\OneDrive - ViaUC\Skrivebord\ \deepf\projekt 001\02 model ekstract\test vid_000590_0.png'. Original error message: Image is None
06/17/2023 00:16:02 MainProcess ThreadPoolExecutor-325_0 image read_image ERROR Error while reading image. This can be caused by special characters in the filename or a corrupt image file: 'C:\Users\DanF\OneDrive - ViaUC\Skrivebord\ \deepf\projekt 001\02 model ekstract\test vid_000558_0.png'. Original error message: Image is None
06/17/2023 00:16:02 MainProcess ThreadPoolExecutor-325_0 image read_image ERROR Error while reading image. This can be caused by special characters in the filename or a corrupt image file: 'C:\Users\DanF\OneDrive - ViaUC\Skrivebord\ \deepf\projekt 001\02 model ekstract\test vid_001189_0.png'. Original error message: Image is None
06/17/2023 00:16:02 MainProcess ThreadPoolExecutor-325_1 image read_image ERROR Error while reading image. This can be caused by special characters in the filename or a corrupt image file: 'C:\Users\DanF\OneDrive - ViaUC\Skrivebord\ \deepf\projekt 001\02 model ekstract\test vid_000437_0.png'. Original error message: Image is None
06/17/2023 00:16:02 MainProcess ThreadPoolExecutor-325_2 image read_image ERROR Error while reading image. This can be caused by special characters in the filename or a corrupt image file: 'C:\Users\DanF\OneDrive - ViaUC\Skrivebord\ \deepf\projekt 001\02 model ekstract\test vid_001451_0.png'. Original error message: Image is None
06/17/2023 00:16:02 MainProcess ThreadPoolExecutor-325_0 image read_image ERROR Error while reading image. This can be caused by special characters in the filename or a corrupt image file: 'C:\Users\DanF\OneDrive - ViaUC\Skrivebord\ \deepf\projekt 001\02 model ekstract\test vid_000587_0.png'. Original error message: Image is None
06/17/2023 00:16:02 MainProcess ThreadPoolExecutor-325_3 image read_image ERROR Error while reading image. This can be caused by special characters in the filename or a corrupt image file: 'C:\Users\DanF\OneDrive - ViaUC\Skrivebord\ \deepf\projekt 001\02 model ekstract\test vid_001253_0.png'. Original error message: Image is None
06/17/2023 00:16:02 MainProcess ThreadPoolExecutor-325_1 image read_image ERROR Error while reading image. This can be caused by special characters in the filename or a corrupt image file: 'C:\Users\DanF\OneDrive - ViaUC\Skrivebord\ \deepf\projekt 001\02 model ekstract\test vid_000204_0.png'. Original error message: Image is None
06/17/2023 00:16:02 MainProcess ThreadPoolExecutor-325_2 image read_image ERROR Error while reading image. This can be caused by special characters in the filename or a corrupt image file: 'C:\Users\DanF\OneDrive - ViaUC\Skrivebord\ \deepf\projekt 001\02 model ekstract\test vid_000940_0.png'. Original error message: Image is None
06/17/2023 00:16:02 MainProcess ThreadPoolExecutor-325_0 image read_image ERROR Error while reading image. This can be caused by special characters in the filename or a corrupt image file: 'C:\Users\DanF\OneDrive - ViaUC\Skrivebord\ \deepf\projekt 001\02 model ekstract\test vid_001175_0.png'. Original error message: Image is None
06/17/2023 00:16:02 MainProcess ThreadPoolExecutor-325_3 image read_image ERROR Error while reading image. This can be caused by special characters in the filename or a corrupt image file: 'C:\Users\DanF\OneDrive - ViaUC\Skrivebord\ \deepf\projekt 001\02 model ekstract\test vid_000957_0.png'. Original error message: Image is None
06/17/2023 00:16:02 MainProcess ThreadPoolExecutor-325_1 image read_image ERROR Error while reading image. This can be caused by special characters in the filename or a corrupt image file: 'C:\Users\DanF\OneDrive - ViaUC\Skrivebord\ \deepf\projekt 001\02 model ekstract\test vid_000250_0.png'. Original error message: Image is None
06/17/2023 00:16:02 MainProcess ThreadPoolExecutor-325_2 image read_image ERROR Error while reading image. This can be caused by special characters in the filename or a corrupt image file: 'C:\Users\DanF\OneDrive - ViaUC\Skrivebord\ \deepf\projekt 001\02 model ekstract\test vid_000984_0.png'. Original error message: Image is None
06/17/2023 00:16:03 MainProcess _run_0 multithreading run DEBUG Error in thread (_run_0): Error while reading image. This can be caused by special characters in the filename or a corrupt image file: 'C:\Users\DanF\OneDrive - ViaUC\Skrivebord\ \deepf\projekt 001\02 model ekstract\test vid_000902_0.png'. Original error message: Image is None
06/17/2023 00:16:03 MainProcess _training multithreading check_and_raise_error DEBUG Thread error caught: [(<class 'Exception'>, Exception("Error while reading image. This can be caused by special characters in the filename or a corrupt image file: 'C:\\Users\\DanF\\OneDrive - ViaUC\\Skrivebord\\\xa0\\deepf\\projekt 001\\02 model ekstract\\test vid_000902_0.png'. Original error message: Image is None"), <traceback object at 0x00000260483FF200>)]
06/17/2023 00:16:03 MainProcess _training multithreading run DEBUG Error in thread (_training): Error while reading image. This can be caused by special characters in the filename or a corrupt image file: 'C:\Users\DanF\OneDrive - ViaUC\Skrivebord\ \deepf\projekt 001\02 model ekstract\test vid_000902_0.png'. Original error message: Image is None
06/17/2023 00:16:03 MainProcess MainThread train _monitor DEBUG Thread error detected
06/17/2023 00:16:03 MainProcess MainThread train _monitor DEBUG Closed Monitor
06/17/2023 00:16:03 MainProcess MainThread train _end_thread DEBUG Ending Training thread
06/17/2023 00:16:03 MainProcess MainThread train _end_thread CRITICAL Error caught! Exiting...
06/17/2023 00:16:03 MainProcess MainThread multithreading join DEBUG Joining Threads: '_training'
06/17/2023 00:16:03 MainProcess MainThread multithreading join DEBUG Joining Thread: '_training'
06/17/2023 00:16:03 MainProcess MainThread multithreading join ERROR Caught exception in thread: '_training'
Traceback (most recent call last):
File "C:\Users\DanF\faceswap\lib\image.py", line 301, in read_image
raise ValueError("Image is None")
ValueError: Image is None
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\DanF\faceswap\lib\cli\launcher.py", line 230, in execute_script
process.process()
File "C:\Users\DanF\faceswap\scripts\train.py", line 213, in process
self._end_thread(thread, err)
File "C:\Users\DanF\faceswap\scripts\train.py", line 253, in _end_thread
thread.join()
File "C:\Users\DanF\faceswap\lib\multithreading.py", line 220, in join
raise thread.err[1].with_traceback(thread.err[2])
File "C:\Users\DanF\faceswap\lib\multithreading.py", line 96, in run
self._target(*self._args, **self._kwargs)
File "C:\Users\DanF\faceswap\scripts\train.py", line 275, in _training
raise err
File "C:\Users\DanF\faceswap\scripts\train.py", line 265, in _training
self._run_training_cycle(model, trainer)
File "C:\Users\DanF\faceswap\scripts\train.py", line 353, in _run_training_cycle
trainer.train_one_step(viewer, timelapse)
File "C:\Users\DanF\faceswap\plugins\train\trainer\_base.py", line 217, in train_one_step
model_inputs, model_targets = self._feeder.get_batch()
File "C:\Users\DanF\faceswap\plugins\train\trainer\_base.py", line 485, in get_batch
side_feed, side_targets = next(self._feeds[side])
File "C:\Users\DanF\faceswap\lib\multithreading.py", line 292, in iterator
self.check_and_raise_error()
File "C:\Users\DanF\faceswap\lib\multithreading.py", line 169, in check_and_raise_error
raise error[1].with_traceback(error[2])
File "C:\Users\DanF\faceswap\lib\multithreading.py", line 96, in run
self._target(*self._args, **self._kwargs)
File "C:\Users\DanF\faceswap\lib\multithreading.py", line 275, in _run
for item in self.generator(*self._gen_args, **self._gen_kwargs):
File "C:\Users\DanF\faceswap\lib\training\generator.py", line 222, in _minibatch
retval = self._process_batch(img_paths)
File "C:\Users\DanF\faceswap\lib\training\generator.py", line 335, in _process_batch
raw_faces, detected_faces = self._get_images_with_meta(filenames)
File "C:\Users\DanF\faceswap\lib\training\generator.py", line 248, in _get_images_with_meta
raw_faces = read_image_batch(filenames)
File "C:\Users\DanF\faceswap\lib\image.py", line 376, in read_image_batch
batch[ret_idx] = future.result()
File "C:\Users\DanF\MiniConda3\envs\faceswap\lib\concurrent\futures\_base.py", line 439, in result
return self.__get_result()
File "C:\Users\DanF\MiniConda3\envs\faceswap\lib\concurrent\futures\_base.py", line 391, in __get_result
raise self._exception
File "C:\Users\DanF\MiniConda3\envs\faceswap\lib\concurrent\futures\thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "C:\Users\DanF\faceswap\lib\image.py", line 322, in read_image
raise Exception(msg)
Exception: Error while reading image. This can be caused by special characters in the filename or a corrupt image file: 'C:\Users\DanF\OneDrive - ViaUC\Skrivebord\ \deepf\projekt 001\02 model ekstract\test vid_000902_0.png'. Original error message: Image is None
============ System Information ============
backend: directml
encoding: cp1252
git_branch: Not Found
git_commits: Not Found
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: NVIDIA GeForce RTX 3060 Laptop GPU, GPU_1: AMD Radeon(TM) Graphics
gpu_devices_active: GPU_0, GPU_1
gpu_driver: 31.0.15.2799|27.20.15026.8004
gpu_vram: GPU_0: 6009MB (5241MB free), GPU_1: 2032MB (8421MB free)
os_machine: AMD64
os_platform: Windows-10-10.0.19045-SP0
os_release: 10
py_command: C:\Users\DanF\faceswap\faceswap.py train -A C:/Users/DanF/OneDrive - ViaUC/Skrivebord/ /deepf/projekt 001/02 soruce ekstract -B C:/Users/DanF/OneDrive - ViaUC/Skrivebord/ /deepf/projekt 001/02 model ekstract -m C:/Users/DanF/OneDrive - ViaUC/Skrivebord/ /deepf/projekt 001/03 model dir -t original -bs 16 -it 1000000 -D default -s 250 -ss 25000 -L INFO -gui
py_conda_version: conda 23.5.0
py_implementation: CPython
py_version: 3.9.16
py_virtual_env: True
sys_cores: 16
sys_processor: AMD64 Family 25 Model 80 Stepping 0, AuthenticAMD
sys_ram: Total: 14204MB, Available: 4105MB, Used: 10098MB, Free: 4105MB
=============== Pip Packages ===============
absl-py @ file:///C:/b/abs_5babsu7y5x/croot/absl-py_1666362945682/work
astunparse==1.6.3
cachetools==5.3.1
certifi @ file:///C:/b/abs_4a0polqwty/croot/certifi_1683875377622/work/certifi
charset-normalizer @ file:///home/conda/feedstock_root/build_artifacts/charset-normalizer_1678108872112/work
cloudpickle @ file:///C:/b/abs_3796yxesic/croot/cloudpickle_1683040098851/work
colorama @ file:///C:/b/abs_a9ozq0l032/croot/colorama_1672387194846/work
comtypes @ file:///C:/b/abs_1coomkk_86/croot/comtypes_1678829787230/work
cycler @ file:///tmp/build/80754af9/cycler_1637851556182/work
decorator @ file:///opt/conda/conda-bld/decorator_1643638310831/work
dm-tree @ file:///C:/b/abs_10z0iy5knj/croot/dm-tree_1671027465819/work
fastcluster @ file:///D:/bld/fastcluster_1649783471014/work
ffmpy==0.3.0
flatbuffers==23.5.26
fonttools==4.25.0
gast==0.4.0
google-auth==2.20.0
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
grpcio==1.54.2
h5py==3.8.0
idna @ file:///home/conda/feedstock_root/build_artifacts/idna_1663625384323/work
imageio @ file:///C:/b/abs_27kq2gy1us/croot/imageio_1677879918708/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1673483481485/work
importlib-metadata==6.6.0
joblib @ file:///home/conda/feedstock_root/build_artifacts/joblib_1663332044897/work
keras==2.10.0
Keras-Preprocessing==1.1.2
kiwisolver @ file:///C:/b/abs_88mdhvtahm/croot/kiwisolver_1672387921783/work
libclang==16.0.0
Markdown==3.4.3
MarkupSafe==2.1.3
matplotlib @ file:///C:/b/abs_ae02atcfur/croot/matplotlib-suite_1667356722968/work
mkl-fft==1.3.6
mkl-random @ file:///C:/Users/dev-admin/mkl/mkl_random_1682977971003/work
mkl-service==2.4.0
munkres==1.1.4
numexpr @ file:///C:/b/abs_afm0oewmmt/croot/numexpr_1683221839116/work
numpy @ file:///C:/Users/dev-admin/mkl/numpy_and_numpy_base_1682981337988/work
nvidia-ml-py==11.525.112
oauthlib==3.2.2
opencv-python==4.7.0.72
opt-einsum==3.3.0
packaging @ file:///home/conda/feedstock_root/build_artifacts/packaging_1681337016113/work
Pillow==9.4.0
platformdirs @ file:///home/conda/feedstock_root/build_artifacts/platformdirs_1686403120743/work
ply==3.11
pooch @ file:///home/conda/feedstock_root/build_artifacts/pooch_1679580333621/work
protobuf==3.19.6
psutil @ file:///C:/Windows/Temp/abs_b2c2fd7f-9fd5-4756-95ea-8aed74d0039flsd9qufz/croots/recipe/psutil_1656431277748/work
pyasn1==0.5.0
pyasn1-modules==0.3.0
pyparsing @ file:///C:/Users/BUILDE~1/AppData/Local/Temp/abs_7f_7lba6rl/croots/recipe/pyparsing_1661452540662/work
PyQt5==5.15.7
PyQt5-sip @ file:///C:/Windows/Temp/abs_d7gmd2jg8i/croots/recipe/pyqt-split_1659273064801/work/pyqt_sip
PySocks @ file:///D:/bld/pysocks_1661604991356/work
python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work
pywin32==305.1
pywinpty @ file:///C:/ci_310/pywinpty_1644230983541/work/target/wheels/pywinpty-2.0.2-cp39-none-win_amd64.whl
requests @ file:///home/conda/feedstock_root/build_artifacts/requests_1684774241324/work
requests-oauthlib==1.3.1
rsa==4.9
scikit-learn @ file:///C:/b/abs_38k7ridbgr/croot/scikit-learn_1684954723009/work
scipy==1.10.1
sip @ file:///C:/Windows/Temp/abs_b8fxd17m2u/croots/recipe/sip_1659012372737/work
six @ file:///tmp/build/80754af9/six_1644875935023/work
tensorboard==2.10.1
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
tensorflow-cpu==2.10.0
tensorflow-directml-plugin==0.4.0.dev230202
tensorflow-estimator==2.10.0
tensorflow-io-gcs-filesystem==0.31.0
tensorflow-probability @ file:///tmp/build/80754af9/tensorflow-probability_1633017132682/work
tensorflow_intel==2.10.0
termcolor==2.3.0
threadpoolctl @ file:///home/conda/feedstock_root/build_artifacts/threadpoolctl_1643647933166/work
toml @ file:///tmp/build/80754af9/toml_1616166611790/work
tornado @ file:///C:/ci/tornado_1662458743919/work
tqdm @ file:///C:/b/abs_f76j9hg7pv/croot/tqdm_1679561871187/work
typing_extensions @ file:///home/conda/feedstock_root/build_artifacts/typing_extensions_1685704949284/work
urllib3==1.26.16
Werkzeug==2.3.6
win-inet-pton @ file:///D:/bld/win_inet_pton_1667051142467/work
wrapt==1.15.0
zipp==3.15.0
============== Conda Packages ==============
# packages in environment at C:\Users\DanF\MiniConda3\envs\faceswap:
#
# Name Version Build Channel
absl-py 1.3.0 py39haa95532_0
astunparse 1.6.3 pypi_0 pypi
blas 1.0 mkl
brotli 1.0.9 h8ffe710_7 conda-forge
brotli-bin 1.0.9 h8ffe710_7 conda-forge
ca-certificates 2023.05.30 haa95532_0
cachetools 5.3.1 pypi_0 pypi
certifi 2023.5.7 py39haa95532_0
charset-normalizer 3.1.0 pyhd8ed1ab_0 conda-forge
cloudpickle 2.2.1 py39haa95532_0
colorama 0.4.6 py39haa95532_0
comtypes 1.1.14 py39haa95532_0
cycler 0.11.0 pyhd3eb1b0_0
decorator 5.1.1 pyhd3eb1b0_0
dm-tree 0.1.7 py39hd77b12b_1
fastcluster 1.2.6 py39h2e25243_1 conda-forge
ffmpeg 4.3.1 ha925a31_0 conda-forge
ffmpy 0.3.0 pypi_0 pypi
flatbuffers 23.5.26 pypi_0 pypi
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.12.1 ha860e81_0
gast 0.4.0 pypi_0 pypi
giflib 5.2.1 h8cc25b3_3
git 2.40.1 haa95532_0
glib 2.69.1 h5dc1a3c_2
google-auth 2.20.0 pypi_0 pypi
google-auth-oauthlib 0.4.6 pypi_0 pypi
google-pasta 0.2.0 pypi_0 pypi
grpcio 1.54.2 pypi_0 pypi
gst-plugins-base 1.18.5 h9e645db_0
gstreamer 1.18.5 hd78058f_0
h5py 3.8.0 pypi_0 pypi
icc_rt 2022.1.0 h6049295_2
icu 58.2 ha925a31_3
idna 3.4 pyhd8ed1ab_0 conda-forge
imageio 2.26.0 py39haa95532_0
imageio-ffmpeg 0.4.8 pyhd8ed1ab_0 conda-forge
importlib-metadata 6.6.0 pypi_0 pypi
intel-openmp 2023.1.0 h59b6b97_46319
joblib 1.2.0 pyhd8ed1ab_0 conda-forge
jpeg 9e h2bbff1b_1
keras 2.10.0 pypi_0 pypi
keras-preprocessing 1.1.2 pypi_0 pypi
kiwisolver 1.4.4 py39hd77b12b_0
krb5 1.19.4 h5b6d351_0
lerc 3.0 hd77b12b_0
libbrotlicommon 1.0.9 h8ffe710_7 conda-forge
libbrotlidec 1.0.9 h8ffe710_7 conda-forge
libbrotlienc 1.0.9 h8ffe710_7 conda-forge
libclang 16.0.0 pypi_0 pypi
libclang13 14.0.6 default_h8e68704_1
libdeflate 1.17 h2bbff1b_0
libffi 3.4.4 hd77b12b_0
libiconv 1.16 h2bbff1b_2
libogg 1.3.5 h2bbff1b_1
libpng 1.6.39 h8cc25b3_0
libtiff 4.5.0 h6c2663c_2
libvorbis 1.3.7 he774522_0
libwebp 1.2.4 hbc33d0d_1
libwebp-base 1.2.4 h2bbff1b_1
libxml2 2.10.3 h0ad7f3c_0
libxslt 1.1.37 h2bbff1b_0
lz4-c 1.9.4 h2bbff1b_0
markdown 3.4.3 pypi_0 pypi
markupsafe 2.1.3 pypi_0 pypi
matplotlib 3.5.3 py39haa95532_0
matplotlib-base 3.5.3 py39hd77b12b_0
mkl 2023.1.0 h8bd8f75_46356
mkl-service 2.4.0 py39h2bbff1b_1
mkl_fft 1.3.6 py39hf11a4ad_1
mkl_random 1.2.2 py39hf11a4ad_1
munkres 1.1.4 py_0
numexpr 2.8.4 py39h7b80656_1
numpy 1.23.5 py39h6917f2d_1
numpy-base 1.23.5 py39h46c4fa8_1
nvidia-ml-py 11.525.112 pypi_0 pypi
oauthlib 3.2.2 pypi_0 pypi
opencv-python 4.7.0.72 pypi_0 pypi
openssl 1.1.1t h2bbff1b_0
opt-einsum 3.3.0 pypi_0 pypi
packaging 23.1 pyhd8ed1ab_0 conda-forge
pcre 8.45 hd77b12b_0
pillow 9.4.0 py39hd77b12b_0
pip 23.1.2 py39haa95532_0
platformdirs 3.5.3 pyhd8ed1ab_0 conda-forge
ply 3.11 py39haa95532_0
pooch 1.7.0 pyha770c72_3 conda-forge
protobuf 3.19.6 pypi_0 pypi
psutil 5.9.0 py39h2bbff1b_0
pyasn1 0.5.0 pypi_0 pypi
pyasn1-modules 0.3.0 pypi_0 pypi
pyparsing 3.0.9 py39haa95532_0
pyqt 5.15.7 py39hd77b12b_0
pyqt5-sip 12.11.0 py39hd77b12b_0
pysocks 1.7.1 pyh0701188_6 conda-forge
python 3.9.16 h6244533_2
python-dateutil 2.8.2 pyhd3eb1b0_0
python_abi 3.9 2_cp39 conda-forge
pywin32 305 py39h2bbff1b_0
pywinpty 2.0.2 py39h5da7b33_0
qt-main 5.15.2 he8e5bd7_8
qt-webengine 5.15.9 hb9a9bb5_5
qtwebkit 5.212 h2bbfb41_5
requests 2.31.0 pyhd8ed1ab_0 conda-forge
requests-oauthlib 1.3.1 pypi_0 pypi
rsa 4.9 pypi_0 pypi
scikit-learn 1.2.2 py39hd77b12b_1
scipy 1.10.1 py39hdcfc7df_1
setuptools 67.8.0 py39haa95532_0
sip 6.6.2 py39hd77b12b_0
six 1.16.0 pyhd3eb1b0_1
sqlite 3.41.2 h2bbff1b_0
tbb 2021.8.0 h59b6b97_0
tensorboard 2.10.1 pypi_0 pypi
tensorboard-data-server 0.6.1 pypi_0 pypi
tensorboard-plugin-wit 1.8.1 pypi_0 pypi
tensorflow-cpu 2.10.0 pypi_0 pypi
tensorflow-directml-plugin 0.4.0.dev230202 pypi_0 pypi
tensorflow-estimator 2.10.0 pypi_0 pypi
tensorflow-intel 2.10.0 pypi_0 pypi
tensorflow-io-gcs-filesystem 0.31.0 pypi_0 pypi
tensorflow-probability 0.14.0 pyhd3eb1b0_0
termcolor 2.3.0 pypi_0 pypi
threadpoolctl 3.1.0 pyh8a188c0_0 conda-forge
tk 8.6.12 h2bbff1b_0
toml 0.10.2 pyhd3eb1b0_0
tornado 6.2 py39h2bbff1b_0
tqdm 4.65.0 py39hd4e2768_0
typing-extensions 4.6.3 hd8ed1ab_0 conda-forge
typing_extensions 4.6.3 pyha770c72_0 conda-forge
tzdata 2023c h04d1e81_0
urllib3 1.26.16 pypi_0 pypi
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
werkzeug 2.3.6 pypi_0 pypi
wheel 0.38.4 py39haa95532_0
win_inet_pton 1.1.0 pyhd8ed1ab_6 conda-forge
winpty 0.4.3 4
wrapt 1.15.0 pypi_0 pypi
xz 5.4.2 h8cc25b3_0
zipp 3.15.0 pypi_0 pypi
zlib 1.2.13 h8cc25b3_0
zstd 1.5.5 hd43e919_0
=============== State File =================
{
"name": "original",
"sessions": {
"1": {
"timestamp": 1686953710.8209412,
"no_logs": false,
"loss_names": [
"total",
"face_a",
"face_b"
],
"batchsize": 16,
"iterations": 1,
"config": {
"learning_rate": 5e-05,
"epsilon_exponent": -7,
"autoclip": false,
"allow_growth": false,
"mixed_precision": false,
"nan_protection": true,
"convert_batchsize": 16,
"loss_function": "ssim",
"loss_function_2": "mse",
"loss_weight_2": 100,
"loss_function_3": null,
"loss_weight_3": 0,
"loss_function_4": null,
"loss_weight_4": 0,
"mask_loss_function": "mse",
"eye_multiplier": 3,
"mouth_multiplier": 2
}
}
},
"lowest_avg_loss": {
"a": 0.2822922170162201,
"b": 0.3062407970428467
},
"iterations": 1,
"mixed_precision_layers": [
"conv_128_0_conv2d",
"conv_128_0_leakyrelu",
"conv_256_0_conv2d",
"conv_256_0_leakyrelu",
"conv_512_0_conv2d",
"conv_512_0_leakyrelu",
"conv_1024_0_conv2d",
"conv_1024_0_leakyrelu",
"flatten",
"dense",
"dense_1",
"reshape",
"upscale_512_0_conv2d_conv2d",
"upscale_512_0_conv2d_leakyrelu",
"upscale_512_0_pixelshuffler",
"upscale_256_0_conv2d_conv2d",
"upscale_256_0_conv2d_leakyrelu",
"upscale_256_0_pixelshuffler",
"upscale_128_0_conv2d_conv2d",
"upscale_128_0_conv2d_leakyrelu",
"upscale_128_0_pixelshuffler",
"upscale_64_0_conv2d_conv2d",
"upscale_64_0_conv2d_leakyrelu",
"upscale_64_0_pixelshuffler",
"face_out_a_conv2d",
"upscale_256_1_conv2d_conv2d",
"upscale_256_1_conv2d_leakyrelu",
"upscale_256_1_pixelshuffler",
"upscale_128_1_conv2d_conv2d",
"upscale_128_1_conv2d_leakyrelu",
"upscale_128_1_pixelshuffler",
"upscale_64_1_conv2d_conv2d",
"upscale_64_1_conv2d_leakyrelu",
"upscale_64_1_pixelshuffler",
"face_out_b_conv2d"
],
"config": {
"centering": "face",
"coverage": 87.5,
"optimizer": "adam",
"learning_rate": 5e-05,
"epsilon_exponent": -7,
"autoclip": false,
"allow_growth": false,
"mixed_precision": false,
"nan_protection": true,
"convert_batchsize": 16,
"loss_function": "ssim",
"loss_function_2": "mse",
"loss_weight_2": 100,
"loss_function_3": null,
"loss_weight_3": 0,
"loss_function_4": null,
"loss_weight_4": 0,
"mask_loss_function": "mse",
"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: directml
--------- 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.mask_blend]
type: normalized
kernel_size: 3
passes: 4
threshold: 4
erosion: 0.0
erosion_top: 0.0
erosion_bottom: 0.0
erosion_left: 0.0
erosion_right: 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
separate_mask: False
jpg_quality: 75
png_compress_level: 3
[writer.pillow]
format: png
draw_transparent: False
separate_mask: False
optimize: False
gif_interlace: True
jpg_quality: 75
png_compress_level: 3
tif_compression: tiff_deflate
--------- extract.ini ---------
[global]
allow_growth: False
aligner_min_scale: 0.07
aligner_max_scale: 2.0
aligner_distance: 22.5
aligner_roll: 45.0
aligner_features: True
filter_refeed: True
save_filtered: False
realign_refeeds: True
filter_realign: True
[align.fan]
batch-size: 12
[detect.cv2_dnn]
confidence: 50
[detect.mtcnn]
minsize: 20
scalefactor: 0.709
batch-size: 8
cpu: True
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
cpu: False
weights: faceswap
include_ears: False
include_hair: False
include_glasses: True
[mask.custom]
batch-size: 8
centering: face
fill: False
[mask.unet_dfl]
batch-size: 8
[mask.vgg_clear]
batch-size: 6
[mask.vgg_obstructed]
batch-size: 2
[recognition.vgg_face2]
batch-size: 16
cpu: False
--------- 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: 87.5
icnr_init: False
conv_aware_init: False
optimizer: adam
learning_rate: 5e-05
epsilon_exponent: -7
autoclip: False
reflect_padding: False
allow_growth: False
mixed_precision: False
nan_protection: True
convert_batchsize: 16
[global.loss]
loss_function: ssim
loss_function_2: mse
loss_weight_2: 100
loss_function_3: none
loss_weight_3: 0
loss_function_4: none
loss_weight_4: 0
mask_loss_function: mse
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
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: 7
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_upscales_in_fc: 0
dec_norm: none
dec_min_filters: 64
dec_max_filters: 512
dec_slope_mode: full
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
fs_original_use_alt: False
mobilenet_width: 1.0
mobilenet_depth: 1
mobilenet_dropout: 0.001
mobilenet_minimalistic: 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
nodes: 1024
complexity_encoder: 128
complexity_decoder_a: 384
complexity_decoder_b: 512
[model.villain]
lowmem: False
[trainer.original]
preview_images: 14
mask_opacity: 30
mask_color: #ff0000
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