iperov
commented
2 years ago perhaps GTX 780 is now old . Use directx version. Also you don't need to install python.
Closed 2blackbar closed 2 years ago
iperov
commented
2 years ago perhaps GTX 780 is now old . Use directx version. Also you don't need to install python.
Heres the error , newest python instaled, gtx drivers 472.12 `Running DeepFaceLive. FaceDetector error: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running Sigmoid node. Name:'Sigmoid_1' Status Message: CUDA error cudaErrorNoKernelImageForDevice:no kernel image is available for execution on the device Traceback (most recent call last): File "J:\SOFT\DeepFaceLive_NVIDIA_internal\DeepFaceLive\xlib\mp\csw\CSWBase.py", line 484, in _start_proc self.on_tick() File "J:\SOFT\DeepFaceLive_NVIDIA_internal\DeepFaceLive\apps\DeepFaceLive\backend\FaceDetector.py", line 234, in on_tick rects = self.YoloV5Face.extract (frame_image, threshold=detector_state.threshold, fixed_window=detector_state.fixed_window_size)[0] File "J:\SOFT\DeepFaceLive_NVIDIA_internal\DeepFaceLive\modelhub\onnx\YoloV5Face\YoloV5Face.py", line 74, in extract preds = self._get_preds(ip.get_image('NCHW')) File "J:\SOFT\DeepFaceLive_NVIDIA_internal\DeepFaceLive\modelhub\onnx\YoloV5Face\YoloV5Face.py", line 106, in _get_preds preds = self._sess.run(None, {self._input_name: img}) File "J:\SOFT\DeepFaceLive_NVIDIA_internal\python\lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 192, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running Sigmoid node. Name:'Sigmoid_1' Status Message: CUDA error cudaErrorNoKernelImageForDevice:no kernel image is available for execution on the device
FaceDetector error: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running Sigmoid node. Name:'Sigmoid_1' Status Message: CUDA error cudaErrorNoKernelImageForDevice:no kernel image is available for execution on the device Traceback (most recent call last): File "J:\SOFT\DeepFaceLive_NVIDIA_internal\DeepFaceLive\xlib\mp\csw\CSWBase.py", line 484, in _start_proc self.on_tick() File "J:\SOFT\DeepFaceLive_NVIDIA_internal\DeepFaceLive\apps\DeepFaceLive\backend\FaceDetector.py", line 234, in on_tick rects = self.YoloV5Face.extract (frame_image, threshold=detector_state.threshold, fixed_window=detector_state.fixed_window_size)[0] File "J:\SOFT\DeepFaceLive_NVIDIA_internal\DeepFaceLive\modelhub\onnx\YoloV5Face\YoloV5Face.py", line 74, in extract preds = self._get_preds(ip.get_image('NCHW')) File "J:\SOFT\DeepFaceLive_NVIDIA_internal\DeepFaceLive\modelhub\onnx\YoloV5Face\YoloV5Face.py", line 106, in _get_preds preds = self._sess.run(None, {self._input_name: img}) File "J:\SOFT\DeepFaceLive_NVIDIA_internal\python\lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 192, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running Sigmoid node. Name:'Sigmoid_1' Status Message: CUDA error cudaErrorNoKernelImageForDevice:no kernel image is available for execution on the device
FaceMarker error: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running Transpose node. Name:'conv2d_150' Status Message: CUDA error cudaErrorNoKernelImageForDevice:no kernel image is available for execution on the device Traceback (most recent call last): File "J:\SOFT\DeepFaceLive_NVIDIA_internal\DeepFaceLive\xlib\mp\csw\CSWBase.py", line 484, in _start_proc self.on_tick() File "J:\SOFT\DeepFaceLive_NVIDIA_internal\DeepFaceLive\apps\DeepFaceLive\backend\FaceMarker.py", line 173, in on_tick lmrks = self.google_facemesh.extract(face_image)[0] File "J:\SOFT\DeepFaceLive_NVIDIA_internal\DeepFaceLive\modelhub\onnx\FaceMesh\FaceMesh.py", line 57, in extract lmrks = self._sess.run(None, {self._input_name: feed_img})[0] File "J:\SOFT\DeepFaceLive_NVIDIA_internal\python\lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 192, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running Transpose node. Name:'conv2d_150' Status Message: CUDA error cudaErrorNoKernelImageForDevice:no kernel image is available for execution on the device
FaceSwapper error: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running Transpose node. Name:'transpose_21' Status Message: CUDA error cudaErrorNoKernelImageForDevice:no kernel image is available for execution on the device Traceback (most recent call last): File "J:\SOFT\DeepFaceLive_NVIDIA_internal\DeepFaceLive\xlib\mp\csw\CSWBase.py", line 484, in _start_proc self.on_tick() File "J:\SOFT\DeepFaceLive_NVIDIA_internal\DeepFaceLive\apps\DeepFaceLive\backend\FaceSwapper.py", line 280, in on_tick celeb_face, celeb_face_mask_img, face_align_mask_img = dfm_model.convert(face_align_image, morph_factor=model_state.morph_factor) File "J:\SOFT\DeepFaceLive_NVIDIA_internal\DeepFaceLive\modelhub\DFLive\DFMModel.py", line 114, in convert out_face_mask, out_celeb, out_celeb_mask = self._sess.run(None, {'in_face:0': img}) File "J:\SOFT\DeepFaceLive_NVIDIA_internal\python\lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 192, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running Transpose node. Name:'transpose_21' Status Message: CUDA error cudaErrorNoKernelImageForDevice:no kernel image is available for execution on the device
FaceMarker error: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running Transpose node. Name:'conv2d_150' Status Message: CUDA error cudaErrorNoKernelImageForDevice:no kernel image is available for execution on the device Traceback (most recent call last): File "J:\SOFT\DeepFaceLive_NVIDIA_internal\DeepFaceLive\xlib\mp\csw\CSWBase.py", line 484, in _start_proc self.on_tick() File "J:\SOFT\DeepFaceLive_NVIDIA_internal\DeepFaceLive\apps\DeepFaceLive\backend\FaceMarker.py", line 173, in on_tick lmrks = self.google_facemesh.extract(face_image)[0] File "J:\SOFT\DeepFaceLive_NVIDIA_internal\DeepFaceLive\modelhub\onnx\FaceMesh\FaceMesh.py", line 57, in extract lmrks = self._sess.run(None, {self._input_name: feed_img})[0] File "J:\SOFT\DeepFaceLive_NVIDIA_internal\python\lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 192, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running Transpose node. Name:'conv2d_150' Status Message: CUDA error cudaErrorNoKernelImageForDevice:no kernel image is available for execution on the device
FaceDetector error: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running Sigmoid node. Name:'Sigmoid_1' Status Message: CUDA error cudaErrorNoKernelImageForDevice:no kernel image is available for execution on the device Traceback (most recent call last): File "J:\SOFT\DeepFaceLive_NVIDIA_internal\DeepFaceLive\xlib\mp\csw\CSWBase.py", line 484, in _start_proc self.on_tick() File "J:\SOFT\DeepFaceLive_NVIDIA_internal\DeepFaceLive\apps\DeepFaceLive\backend\FaceDetector.py", line 234, in on_tick rects = self.YoloV5Face.extract (frame_image, threshold=detector_state.threshold, fixed_window=detector_state.fixed_window_size)[0] File "J:\SOFT\DeepFaceLive_NVIDIA_internal\DeepFaceLive\modelhub\onnx\YoloV5Face\YoloV5Face.py", line 74, in extract preds = self._get_preds(ip.get_image('NCHW')) File "J:\SOFT\DeepFaceLive_NVIDIA_internal\DeepFaceLive\modelhub\onnx\YoloV5Face\YoloV5Face.py", line 106, in _get_preds preds = self._sess.run(None, {self._input_name: img}) File "J:\SOFT\DeepFaceLive_NVIDIA_internal\python\lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 192, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running Sigmoid node. Name:'Sigmoid_1' Status Message: CUDA error cudaErrorNoKernelImageForDevice:no kernel image is available for execution on the device
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