We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Hi , i try to run train.py script on my own dataset,but i meet a error like this,what should i do ?
[Config] merge from parent file: config/example/test/dataset.yml [Config] merge from parent file: config/example/test/level_of_gaussian.yml [Config] merge from parent file: config/example/test/stage_8_4.yml Key is not in the template: split [Config] replace key $root [Config] replace key $scale3d [Config] replace key $root [Config] replace key $scale3d [Config] replace key $PLYNAME [Config] replace key $PLYNAME [Config] replace key $PLYNAME [Config] replace key $PLYNAME [Config] replace key $xyz_scale [Config] replace key $scale3d [Config] replace key $PLYNAME [Config] replace key $xyz_scale [Config] replace key $max_steps [Config] replace key $dataset [Config] replace key $RGB_RENDER_L1_SSIM [Config] replace key $NAIVE_STAGE [Config] replace key $val_dataset Using GPUs: 0 Write to output/example/test/log Using /home/guoyl16/.cache/torch_extensions/py310_cu118 as PyTorch extensions root... Detected CUDA files, patching ldflags Emitting ninja build file /home/guoyl16/.cache/torch_extensions/py310_cu118/compute_radius/build.ninja... Building extension module compute_radius... Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) ninja: no work to do. Loading extension module compute_radius... [/mnt/data/guoyl16/DATA/DATA_GS/object_pc_240307/sparse/0/sparse.npz] mean: -0.214, 0.565, -7.522 [/mnt/data/guoyl16/DATA/DATA_GS/object_pc_240307/sparse/0/sparse.npz] std: 8.602, 6.323, 15.863 [/mnt/data/guoyl16/DATA/DATA_GS/object_pc_240307/sparse/0/sparse.npz] sigma=1 15333/16862 bounds: [[-8.816, -5.758, -23.384], [8.388, 6.888, 8.341]] [/mnt/data/guoyl16/DATA/DATA_GS/object_pc_240307/sparse/0/sparse.npz] sigma=2 15602/16862 bounds: [[-17.417, -12.081, -39.247], [16.990, 13.211, 24.204]] [/mnt/data/guoyl16/DATA/DATA_GS/object_pc_240307/sparse/0/sparse.npz] sigma=3 15903/16862 bounds: [[-26.019, -18.404, -55.110], [25.591, 19.534, 40.067]] [/mnt/data/guoyl16/DATA/DATA_GS/object_pc_240307/sparse/0/sparse.npz] z_min: -256.574, z_max: -2.182 [Load PLY] load from ply: /mnt/data/guoyl16/DATA/DATA_GS/object_pc_240307/sparse/0/sparse.npz [Load PLY] min: [ -86.48607941 -8.61126238 -256.57448468], max: [ 41.38941455 117.52840973 -2.18179324] [Load PLY] scale: 0.0050, 46.1572, mean = 0.2368 [GaussianPoint] scales: [0.00500.236846.1572] [GaussianPoint] -> scales: [0.05920.13540.9473]
Code 211 files has been copied to output/example/test/log/code_backup_20240521-105923 [ImageDataset] set scales: [1, 2, 4, 8], crop size: [-1, -1] [ImageDataset] cache dir: /mnt/data/guoyl16/DATA/DATA_GS/object_pc_240307/cache [ImageDataset] offset: [ 0.06529621 0.01664672 -0.02070021], radius: 7.258950956096211 [ImageDataset] init dataset with 71 images Base iteration: 100 [ImageDataset] set scales: [4], crop size: [-1, -1] [ImageDataset] cache dir: /mnt/data/guoyl16/DATA/DATA_GS/object_pc_240307/cache_val Loaded 71 cameras from /mnt/data/guoyl16/DATA/DATA_GS/object_pc_240307/sparse/0 y/8y01073 Traceback (most recent call last): File "/mnt/data/guoyl16/project/LoG/apps/train.py", line 183, in main() File "/mnt/data/guoyl16/project/LoG/apps/train.py", line 163, in main trainer = Trainer(cfg, model, renderer, logdir=outdir) File "/mnt/data/guoyl16/project/LoG/LoG/utils/trainer.py", line 56, in init self.check_val() File "/mnt/data/guoyl16/project/LoG/LoG/utils/trainer.py", line 65, in check_val dataset = load_object(self.cfg.val.dataset.module, self.cfg.val.dataset.args) File "/mnt/data/guoyl16/project/LoG/LoG/utils/config.py", line 61, in load_object obj = getattr(module, name)(**extra_args, **module_args) File "/mnt/data/guoyl16/project/LoG/LoG/dataset/colmap.py", line 129, in init cameras = self.check_cameras(scale3d=scale3d, scale_camera_K=scale_camera_K) File "/mnt/data/guoyl16/project/LoG/LoG/dataset/image_base.py", line 73, in check_cameras cameras_new[name] = cameras[name] KeyError: 'y/8y01073'
The text was updated successfully, but these errors were encountered:
No branches or pull requests
Hi , i try to run train.py script on my own dataset,but i meet a error like this,what should i do ?
[Config] merge from parent file: config/example/test/dataset.yml
[Config] merge from parent file: config/example/test/level_of_gaussian.yml
[Config] merge from parent file: config/example/test/stage_8_4.yml
Key is not in the template: split
[Config] replace key $root
[Config] replace key $scale3d
[Config] replace key $root
[Config] replace key $scale3d
[Config] replace key $PLYNAME
[Config] replace key $PLYNAME
[Config] replace key $PLYNAME
[Config] replace key $PLYNAME
[Config] replace key $xyz_scale
[Config] replace key $scale3d
[Config] replace key $PLYNAME
[Config] replace key $xyz_scale
[Config] replace key $max_steps
[Config] replace key $dataset
[Config] replace key $RGB_RENDER_L1_SSIM
[Config] replace key $NAIVE_STAGE
[Config] replace key $val_dataset
Using GPUs: 0
Write to output/example/test/log
Using /home/guoyl16/.cache/torch_extensions/py310_cu118 as PyTorch extensions root...
Detected CUDA files, patching ldflags
Emitting ninja build file /home/guoyl16/.cache/torch_extensions/py310_cu118/compute_radius/build.ninja...
Building extension module compute_radius...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
ninja: no work to do.
Loading extension module compute_radius...
[/mnt/data/guoyl16/DATA/DATA_GS/object_pc_240307/sparse/0/sparse.npz] mean: -0.214, 0.565, -7.522
[/mnt/data/guoyl16/DATA/DATA_GS/object_pc_240307/sparse/0/sparse.npz] std: 8.602, 6.323, 15.863
[/mnt/data/guoyl16/DATA/DATA_GS/object_pc_240307/sparse/0/sparse.npz] sigma=1 15333/16862
bounds: [[-8.816, -5.758, -23.384], [8.388, 6.888, 8.341]]
[/mnt/data/guoyl16/DATA/DATA_GS/object_pc_240307/sparse/0/sparse.npz] sigma=2 15602/16862
bounds: [[-17.417, -12.081, -39.247], [16.990, 13.211, 24.204]]
[/mnt/data/guoyl16/DATA/DATA_GS/object_pc_240307/sparse/0/sparse.npz] sigma=3 15903/16862
bounds: [[-26.019, -18.404, -55.110], [25.591, 19.534, 40.067]]
[/mnt/data/guoyl16/DATA/DATA_GS/object_pc_240307/sparse/0/sparse.npz] z_min: -256.574, z_max: -2.182
[Load PLY] load from ply: /mnt/data/guoyl16/DATA/DATA_GS/object_pc_240307/sparse/0/sparse.npz
[Load PLY] min: [ -86.48607941 -8.61126238 -256.57448468], max: [ 41.38941455 117.52840973 -2.18179324]
[Load PLY] scale: 0.0050, 46.1572, mean = 0.2368
[GaussianPoint] scales: [0.0050
0.236846.1572][GaussianPoint] -> scales: [0.0592
0.13540.9473]The text was updated successfully, but these errors were encountered: