start extracting 3DMM...: 0%| | 0/189 [00:00<?, ?it/s]create rasterizer on device cuda:0
start extracting 3DMM...: 0%| | 0/189 [00:00<?, ?it/s]
Traceback (most recent call last):
File "data_gen/nerf/extract_3dmm.py", line 112, in
process_video(video_fname, out_fname, skip_tmp=False)
File "data_gen/nerf/extract_3dmm.py", line 75, in process_video
coeff, align_img = face_reconstructor.recon_coeff(batched_images, batched_lm5, return_image = True)
File "/opt/conda/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(*args, kwargs)
File "/data/GeneFace/deep_3drecon/reconstructor.py", line 79, in recon_coeff
self.model.forward()
File "/data/GeneFace/deep_3drecon/deep_3drecon_models/facerecon_model.py", line 139, in forward
self.predmask, , self.pred_face = self.renderer(
File "/opt/conda/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1131, in _call_impl
return forward_call(*input, *kwargs)
File "/data/GeneFace/deep_3drecon/util/mesh_renderer.py", line 105, in forward
fragments = self.rasterizer(mesh, cameras = cameras, raster_settings = raster_settings)
File "/opt/conda/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1131, in _call_impl
return forward_call(input, kwargs)
File "/opt/conda/lib/python3.8/site-packages/pytorch3d/renderer/mesh/rasterizer.py", line 252, in forward
pix_to_face, zbuf, bary_coords, dists = rasterize_meshes(
File "/opt/conda/lib/python3.8/site-packages/pytorch3d/renderer/mesh/rasterize_meshes.py", line 223, in rasterize_meshes
pix_to_face, zbuf, barycentric_coords, dists = _RasterizeFaceVerts.apply(
File "/opt/conda/lib/python3.8/site-packages/pytorch3d/renderer/mesh/rasterize_meshes.py", line 297, in forward
pix_to_face, zbuf, barycentric_coords, dists = _C.rasterize_meshes(
RuntimeError: CUDA error: no kernel image is available for execution on the device
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
fjesikfjdskl
commented
4 months ago
start extracting 3DMM...: 0%| | 0/189 [00:00<?, ?it/s]create rasterizer on device cuda:0 start extracting 3DMM...: 0%| | 0/189 [00:00<?, ?it/s] Traceback (most recent call last): File "data_gen/nerf/extract_3dmm.py", line 112, in
process_video(video_fname, out_fname, skip_tmp=False)
File "data_gen/nerf/extract_3dmm.py", line 75, in process_video
coeff, align_img = face_reconstructor.recon_coeff(batched_images, batched_lm5, return_image = True)
File "/opt/conda/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(*args, kwargs)
File "/data/GeneFace/deep_3drecon/reconstructor.py", line 79, in recon_coeff
self.model.forward()
File "/data/GeneFace/deep_3drecon/deep_3drecon_models/facerecon_model.py", line 139, in forward
self.predmask, , self.pred_face = self.renderer(
File "/opt/conda/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1131, in _call_impl
return forward_call(*input, *kwargs)
File "/data/GeneFace/deep_3drecon/util/mesh_renderer.py", line 105, in forward
fragments = self.rasterizer(mesh, cameras = cameras, raster_settings = raster_settings)
File "/opt/conda/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1131, in _call_impl
return forward_call(input, kwargs)
File "/opt/conda/lib/python3.8/site-packages/pytorch3d/renderer/mesh/rasterizer.py", line 252, in forward
pix_to_face, zbuf, bary_coords, dists = rasterize_meshes(
File "/opt/conda/lib/python3.8/site-packages/pytorch3d/renderer/mesh/rasterize_meshes.py", line 223, in rasterize_meshes
pix_to_face, zbuf, barycentric_coords, dists = _RasterizeFaceVerts.apply(
File "/opt/conda/lib/python3.8/site-packages/pytorch3d/renderer/mesh/rasterize_meshes.py", line 297, in forward
pix_to_face, zbuf, barycentric_coords, dists = _C.rasterize_meshes(
RuntimeError: CUDA error: no kernel image is available for execution on the device
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
这个是什么错误？是我显卡不够显存吗。驱动什么的都没有问题