You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
While run "bash scripts/infer_lm3d_radnerf.sh",
FileNotFoundError: data/processed/videos/May/ori_imgs/0.lms not found How to solve this problem? Thanks
In more detail:
(geneface) llm@llm-PowerEdge-R730xd:~/projects/GeneFace$ bash scripts/infer_lm3d_radnerf.sh
/home/llm/anaconda3/envs/geneface/lib/python3.9/site-packages/torch/autocast_mode.py:162: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling
warnings.warn('User provided device_type of 'cuda', but CUDA is not available. Disabling')
| Unknow hparams: []
| Hparams chains: ['egs/egs_bases/radnerf/base.yaml', 'egs/egs_bases/radnerf/lm3d_radnerf.yaml', 'checkpoints/May/lm3d_radnerf_torso/config.yaml']
| Hparams:
accumulate_grad_batches: 1, ambient_out_dim: 2, amp: True, base_config: ['egs/egs_bases/radnerf/lm3d_radnerf.yaml'], binary_data_dir: data/binary/videos,
bound: 1, camera_offset: [0, 0, 0], camera_scale: 4.0, clip_grad_norm: 0, clip_grad_value: 0,
cond_out_dim: 64, cond_type: idexp_lm3d_normalized, cond_win_size: 1, cuda_ray: True, debug: False,
density_thresh: 10, density_thresh_torso: 0.01, desired_resolution: 2048, dt_gamma: 0.00390625, eval_max_batches: 100,
exp_name: , far: 0.9, finetune_lips: True, finetune_lips_start_iter: 200000, geo_feat_dim: 128,
grid_interpolation_type: linear, grid_size: 128, grid_type: tiledgrid, gui_fovy: 21.24, gui_h: 512,
gui_max_spp: 1, gui_radius: 3.35, gui_w: 512, head_model_dir: checkpoints/May/lm3d_radnerf, hidden_dim_ambient: 128,
hidden_dim_color: 128, hidden_dim_sigma: 128, individual_embedding_dim: 4, individual_embedding_num: 13000, infer: True,
infer_audio_source_name: data/raw/val_wavs/zozo.wav, infer_bg_img_fname: , infer_c2w_name: , infer_cond_name: infer_out/May/pred_lm3d/zozo.npy, infer_lm3d_clamp_std: 2.5,
infer_lm3d_lle_percent: 0.0, infer_lm3d_smooth_sigma: 0.0, infer_out_video_name: infer_out/May/pred_video/zozo_radnerf_torso_smo.mp4, infer_scale_factor: 1.0, infer_smo_std: 0.0,
infer_smooth_camera_path: True, infer_smooth_camera_path_kernel_size: 7, lambda_ambient: 0.1, lambda_lpips_loss: 0.01, lambda_weights_entropy: 0.0001,
load_ckpt: , load_imgs_to_memory: False, log2_hashmap_size: 16, lr: 0.0005, max_ray_batch: 4096,
max_steps: 16, max_updates: 250000, min_near: 0.05, n_rays: 65536, near: 0.3,
num_ckpt_keep: 1, num_layers_ambient: 3, num_layers_color: 2, num_layers_sigma: 3, num_sanity_val_steps: 2,
num_steps: 16, num_valid_plots: 5, optimizer_adam_beta1: 0.9, optimizer_adam_beta2: 0.999, print_nan_grads: False,
processed_data_dir: data/processed/videos, raw_data_dir: data/raw/videos, resume_from_checkpoint: 0, save_best: True, save_codes: ['tasks', 'modules', 'egs'],
save_gt: True, scheduler: exponential, seed: 9999, smo_win_size: 5, smooth_lips: False,
task_cls: tasks.radnerfs.radnerf_torso.RADNeRFTorsoTask, tb_log_interval: 100, torso_head_aware: False, torso_individual_embedding_dim: 8, torso_shrink: 0.8,
torso_train_mode: 1, update_extra_interval: 16, upsample_steps: 0, use_window_cond: True, val_check_interval: 2000,
valid_infer_interval: 10000, valid_monitor_key: val_loss, valid_monitor_mode: min, validate: False, video_id: May,
warmup_updates: 0, weight_decay: 0, with_att: True, work_dir: checkpoints/May/lm3d_radnerf_torso,
12/04 04:49:46 PM GPU available: False, GPU used: [1]
trainval: Smooth head trajectory (rotation and translation) with a window size of 7
Traceback (most recent call last):
File "/home/llm/projects/GeneFace/inference/nerfs/lm3d_radnerf_infer.py", line 99, in
LM3d_RADNeRFInfer.example_run(inp)
File "/home/llm/projects/GeneFace/inference/nerfs/base_nerf_infer.py", line 299, in example_run
infer_ins = cls(hp)
File "/home/llm/projects/GeneFace/inference/nerfs/lm3d_radnerf_infer.py", line 15, in init
self.dataset = self.dataset_cls('trainval', training=False)
File "/home/llm/projects/GeneFace/tasks/radnerfs/dataset_utils.py", line 104, in init
lms = np.loadtxt(os.path.join(hparams['processed_data_dir'],hparams['video_id'], 'ori_imgs', str(img_id) + '.lms')) # [68, 2]
File "/home/llm/anaconda3/envs/geneface/lib/python3.9/site-packages/numpy/lib/npyio.py", line 1373, in loadtxt
arr = _read(fname, dtype=dtype, comment=comment, delimiter=delimiter,
File "/home/llm/anaconda3/envs/geneface/lib/python3.9/site-packages/numpy/lib/npyio.py", line 992, in _read
fh = np.lib._datasource.open(fname, 'rt', encoding=encoding)
File "/home/llm/anaconda3/envs/geneface/lib/python3.9/site-packages/numpy/lib/_datasource.py", line 193, in open
return ds.open(path, mode, encoding=encoding, newline=newline)
File "/home/llm/anaconda3/envs/geneface/lib/python3.9/site-packages/numpy/lib/_datasource.py", line 533, in open
raise FileNotFoundError(f"{path} not found.")
FileNotFoundError: data/processed/videos/May/ori_imgs/0.lms not found.
The text was updated successfully, but these errors were encountered:
While run "bash scripts/infer_lm3d_radnerf.sh",
FileNotFoundError: data/processed/videos/May/ori_imgs/0.lms not found
How to solve this problem? Thanks
In more detail:
(geneface) llm@llm-PowerEdge-R730xd:~/projects/GeneFace$ bash scripts/infer_lm3d_radnerf.sh
/home/llm/anaconda3/envs/geneface/lib/python3.9/site-packages/torch/autocast_mode.py:162: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling
warnings.warn('User provided device_type of 'cuda', but CUDA is not available. Disabling')
| Unknow hparams: []
| Hparams chains: ['egs/egs_bases/radnerf/base.yaml', 'egs/egs_bases/radnerf/lm3d_radnerf.yaml', 'checkpoints/May/lm3d_radnerf_torso/config.yaml']
| Hparams:
accumulate_grad_batches: 1, ambient_out_dim: 2, amp: True, base_config: ['egs/egs_bases/radnerf/lm3d_radnerf.yaml'], binary_data_dir: data/binary/videos,
bound: 1, camera_offset: [0, 0, 0], camera_scale: 4.0, clip_grad_norm: 0, clip_grad_value: 0,
cond_out_dim: 64, cond_type: idexp_lm3d_normalized, cond_win_size: 1, cuda_ray: True, debug: False,
density_thresh: 10, density_thresh_torso: 0.01, desired_resolution: 2048, dt_gamma: 0.00390625, eval_max_batches: 100,
exp_name: , far: 0.9, finetune_lips: True, finetune_lips_start_iter: 200000, geo_feat_dim: 128,
grid_interpolation_type: linear, grid_size: 128, grid_type: tiledgrid, gui_fovy: 21.24, gui_h: 512,
gui_max_spp: 1, gui_radius: 3.35, gui_w: 512, head_model_dir: checkpoints/May/lm3d_radnerf, hidden_dim_ambient: 128,
hidden_dim_color: 128, hidden_dim_sigma: 128, individual_embedding_dim: 4, individual_embedding_num: 13000, infer: True,
infer_audio_source_name: data/raw/val_wavs/zozo.wav, infer_bg_img_fname: , infer_c2w_name: , infer_cond_name: infer_out/May/pred_lm3d/zozo.npy, infer_lm3d_clamp_std: 2.5,
infer_lm3d_lle_percent: 0.0, infer_lm3d_smooth_sigma: 0.0, infer_out_video_name: infer_out/May/pred_video/zozo_radnerf_torso_smo.mp4, infer_scale_factor: 1.0, infer_smo_std: 0.0,
infer_smooth_camera_path: True, infer_smooth_camera_path_kernel_size: 7, lambda_ambient: 0.1, lambda_lpips_loss: 0.01, lambda_weights_entropy: 0.0001,
load_ckpt: , load_imgs_to_memory: False, log2_hashmap_size: 16, lr: 0.0005, max_ray_batch: 4096,
max_steps: 16, max_updates: 250000, min_near: 0.05, n_rays: 65536, near: 0.3,
num_ckpt_keep: 1, num_layers_ambient: 3, num_layers_color: 2, num_layers_sigma: 3, num_sanity_val_steps: 2,
num_steps: 16, num_valid_plots: 5, optimizer_adam_beta1: 0.9, optimizer_adam_beta2: 0.999, print_nan_grads: False,
processed_data_dir: data/processed/videos, raw_data_dir: data/raw/videos, resume_from_checkpoint: 0, save_best: True, save_codes: ['tasks', 'modules', 'egs'],
save_gt: True, scheduler: exponential, seed: 9999, smo_win_size: 5, smooth_lips: False,
task_cls: tasks.radnerfs.radnerf_torso.RADNeRFTorsoTask, tb_log_interval: 100, torso_head_aware: False, torso_individual_embedding_dim: 8, torso_shrink: 0.8,
torso_train_mode: 1, update_extra_interval: 16, upsample_steps: 0, use_window_cond: True, val_check_interval: 2000,
valid_infer_interval: 10000, valid_monitor_key: val_loss, valid_monitor_mode: min, validate: False, video_id: May,
warmup_updates: 0, weight_decay: 0, with_att: True, work_dir: checkpoints/May/lm3d_radnerf_torso,
12/04 04:49:46 PM GPU available: False, GPU used: [1]
trainval: Smooth head trajectory (rotation and translation) with a window size of 7
Traceback (most recent call last):
File "/home/llm/projects/GeneFace/inference/nerfs/lm3d_radnerf_infer.py", line 99, in
LM3d_RADNeRFInfer.example_run(inp)
File "/home/llm/projects/GeneFace/inference/nerfs/base_nerf_infer.py", line 299, in example_run
infer_ins = cls(hp)
File "/home/llm/projects/GeneFace/inference/nerfs/lm3d_radnerf_infer.py", line 15, in init
self.dataset = self.dataset_cls('trainval', training=False)
File "/home/llm/projects/GeneFace/tasks/radnerfs/dataset_utils.py", line 104, in init
lms = np.loadtxt(os.path.join(hparams['processed_data_dir'],hparams['video_id'], 'ori_imgs', str(img_id) + '.lms')) # [68, 2]
File "/home/llm/anaconda3/envs/geneface/lib/python3.9/site-packages/numpy/lib/npyio.py", line 1373, in loadtxt
arr = _read(fname, dtype=dtype, comment=comment, delimiter=delimiter,
File "/home/llm/anaconda3/envs/geneface/lib/python3.9/site-packages/numpy/lib/npyio.py", line 992, in _read
fh = np.lib._datasource.open(fname, 'rt', encoding=encoding)
File "/home/llm/anaconda3/envs/geneface/lib/python3.9/site-packages/numpy/lib/_datasource.py", line 193, in open
return ds.open(path, mode, encoding=encoding, newline=newline)
File "/home/llm/anaconda3/envs/geneface/lib/python3.9/site-packages/numpy/lib/_datasource.py", line 533, in open
raise FileNotFoundError(f"{path} not found.")
FileNotFoundError: data/processed/videos/May/ori_imgs/0.lms not found.
The text was updated successfully, but these errors were encountered: