DeepFaceLab小白入门（4）：提取人脸图片！

第四步提示ImportError:DLL load failed with error code -1073741795怎么解决

4）运行出这个，怎么办
gpufmkmgr.pynvml.NVMLError_LibraryNotFound: NVML Shared Library Not Found
请按任意键继续. . .

第四部提取人脸时候最后出现这个Exception: Unable to start subprocesses.是怎么回事

請問站長 ，dst內的aligned 的臉部樣本，可不可以與src的臉部樣本一樣，只放700~1500張左右，並讓它開始進行訓練運算。直到要合成result視頻時，再把連續頭模及dst圖片丟進去，讓它進行結果合成。

请问4）提取成功 5)一直显示检测到0张图片是怎么回事儿，视频没有问题，拿成功的src视频都不行

你好请问如果一个视频中有多个人脸怎么进行对应的替换。有没有什么参数，要如何操作

你好，请问训练模型时出现这段代码怎么办？
Error: OOM when allocating tensor with shape[2048,1024,3,3] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[{{node training/Adam/gradients/model_1_1/conv2d_5/convolution_grad/Conv2DBackpropFilter}} = Conv2DBackpropFilter[T=DT_FLOAT, _class=[“loc:@training/Adam/gradients/AddN_25″], data_format=”NCHW”, dilations=[1, 1, 1, 1], padding=”SAME”, strides=[1, 1, 1, 1], use_cudnn_on_gpu=true, _device=”/job:localhost/replica:0/task:0/device:GPU:0″](training/Adam/gradients/model_1_1/conv2d_5/convolution_grad/Conv2DBackpropFilter-0-TransposeNHWCToNCHW-LayoutOptimizer, ConstantFolding/training/Adam/gradients/model_1_1/conv2d_5/convolution_grad/ShapeN-matshapes-1, training/Adam/gradients/AddN_22)]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.

Traceback (most recent call last):
File “D:\1DF\workplace\dfl\DeepFaceLabCUDA10.1AVX\_internal\DeepFaceLab\mainscripts\Trainer.py”, line 78, in trainerThread
loss_string = model.train_one_iter()
File “D:\1DF\workplace\dfl\DeepFaceLabCUDA10.1AVX\_internal\DeepFaceLab\models\ModelBase.py”, line 358, in train_one_iter
losses = self.onTrainOneIter(sample, self.generator_list)
File “D:\1DF\workplace\dfl\DeepFaceLabCUDA10.1AVX\_internal\DeepFaceLab\models\Model_H64\Model.py”, line 85, in onTrainOneIter
total, loss_src_bgr, loss_src_mask, loss_dst_bgr, loss_dst_mask = self.ae.train_on_batch( [warped_src, target_src_full_mask, warped_dst, target_dst_full_mask], [target_src, target_src_full_mask, target_dst, target_dst_full_mask] )
File “D:\1DF\workplace\dfl\DeepFaceLabCUDA10.1AVX\_internal\python-3.6.8\lib\site-packages\keras\engine\training.py”, line 1217, in train_on_batch
outputs = self.train_function(ins)
File “D:\1DF\workplace\dfl\DeepFaceLabCUDA10.1AVX\_internal\python-3.6.8\lib\site-packages\keras\backend\tensorflow_backend.py”, line 2715, in __call__
return self._call(inputs)
File “D:\1DF\workplace\dfl\DeepFaceLabCUDA10.1AVX\_internal\python-3.6.8\lib\site-packages\keras\backend\tensorflow_backend.py”, line 2675, in _call
fetched = self._callable_fn(*array_vals)
File “D:\1DF\workplace\dfl\DeepFaceLabCUDA10.1AVX\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py”, line 1439, in __call__
run_metadata_ptr)
File “D:\1DF\workplace\dfl\DeepFaceLabCUDA10.1AVX\_internal\python-3.6.8\lib\site-packages\tensorflow\python\framework\errors_impl.py”, line 528, in __exit__
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[2048,1024,3,3] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[{{node training/Adam/gradients/model_1_1/conv2d_5/convolution_grad/Conv2DBackpropFilter}} = Conv2DBackpropFilter[T=DT_FLOAT, _class=[“loc:@training/Adam/gradients/AddN_25″], data_format=”NCHW”, dilations=[1, 1, 1, 1], padding=”SAME”, strides=[1, 1, 1, 1], use_cudnn_on_gpu=true, _device=”/job:localhost/replica:0/task:0/device:GPU:0″](training/Adam/gradients/model_1_1/conv2d_5/convolution_grad/Conv2DBackpropFilter-0-TransposeNHWCToNCHW-LayoutOptimizer, ConstantFolding/training/Adam/gradients/model_1_1/conv2d_5/convolution_grad/ShapeN-matshapes-1, training/Adam/gradients/AddN_22)]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.

我第6步搞到一半就出现这个停了怎么办啊。。。求助大佬

Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.

Done.

站长好，我在第四步出现了这段话，重装后试了很多次都是这样，不知道什么原因，请您指教
Traceback (most recent call last):
File “F:\DeepFaceLab_NVIDIA0601\_internal\DeepFaceLab\main.py”, line 318, in
arguments.func(arguments)
File “F:\DeepFaceLab_NVIDIA0601\_internal\DeepFaceLab\main.py”, line 42, in process_extract
force_gpu_idxs = [ int(x) for x in arguments.force_gpu_idxs.split(‘,’) ] if arguments.force_gpu_idxs is not None else None,
File “F:\DeepFaceLab_NVIDIA0601\_internal\DeepFaceLab\mainscripts\Extractor.py”, line 780, in main
device_config=device_config).run()
File “F:\DeepFaceLab_NVIDIA0601\_internal\DeepFaceLab\core\joblib\SubprocessorBase.py”, line 219, in run
raise Exception ( “Unable to start subprocesses.” )
Exception: Unable to start subprocesses.

我很好奇如果使用同一人物的一系列图片组成的视频来代替data_dst或data_src的话，最后执行完（7）convert步骤之后的效果会怎么样？