evc: wip websocket doc & enerfi demo

configs/datasets/enerf_outdoor/enerf_outdoor.yaml

@@ -32,4 +32,17 @@ runner_cfg:
         video_fps: 60 # this dataset id built differently
 
 viewer_cfg:
-    use_window_focal: True
+    camera_cfg:
+        # prettier-ignore
+        K: [[1639.199951171875,0.0,683.0],[0.0,1639.199951171875,384.0],[0.0,0.0,1.0]]
+        # prettier-ignore
+        R: [[0.8829049468040466,-0.46955186128616333,0.0],[-0.005646302364766598,-0.010616821236908436,-0.9999276995658875],[0.46951788663864136,0.8828410506248474,-0.012024874798953533]]
+        # prettier-ignore
+        T: [[-0.14367961883544922],[0.0021661361679434776],[5.292649269104004]]
+        n: 4.0
+        f: 9.0
+        H: 768
+        W: 1366
+        bounds: [[-4.0,-4.0,-2.0],[4.0,4.0,2.0]]
+# {"H":768,"W":1366,"K":[[1639.199951171875,0.0,683.0],[0.0,1639.199951171875,384.0],[0.0,0.0,1.0]],"R":[[0.8829049468040466,-0.46955186128616333,0.0],[-0.005646302364766598,-0.010616821236908436,-0.9999276995658875],[0.46951788663864136,0.8828410506248474,-0.012024874798953533]],"T":[[-0.14367961883544922],[0.0021661361679434776],[5.292649269104004]],"n":4.0,"f":9.0,"t":0.0,"v":0.0,"bounds":[[-4.0,-4.0,-2.0],[4.0,4.0,2.0]],"mass":0.10000000149011612,"moment_of_inertia":0.10000000149011612,"movement_force":1.0,"movement_torque":1.0,"movement_speed":1.0,"origin":[0.0,0.0,0.0],"world_up":[0.0,0.0,1.0]}
+# {"H":768,"W":1366,"K":[[4373.33447265625,0.0,1822.22265625],[0.0,4373.33447265625,1024.5],[0.0,0.0,1.0]],"R":[[0.8829049468040466,-0.46955186128616333,0.0],[-0.005646302364766598,-0.010616821236908436,-0.9999276995658875],[0.46951788663864136,0.8828410506248474,-0.012024874798953533]],"T":[[-0.14367961883544922],[0.0021661361679434776],[5.292649269104004]],"n":4.0,"f":9.0,"t":0.0,"v":0.0,"bounds":[[-1.0,-1.0,-1.0],[1.0,1.0,1.0]],"mass":0.10000000149011612,"moment_of_inertia":0.10000000149011612,"movement_force":1.0,"movement_torque":1.0,"movement_speed":1.0,"origin":[0.0,0.0,0.0],"world_up":[0.0,0.0,1.0]}

configs/specs/server.yaml

@@ -1,6 +1,2 @@
 viewer_cfg:
     type: WebSocketServer
-
-val_dataloader_cfg:
-    dataset_cfg:
-        type: NoopDataset

docs/design/main.md

@@ -57,7 +57,7 @@ easyvolcap
 │   ├── volumetric_video_viewer.py # high-performance viewer
 │   └── ...
 ├── scripts # entry points for EasyVolcap, all command-line should start from here
-│   ├── main.py # evc -t test ...
+│   ├── main.py # evc-test ...
 │   └── wrap.py # evc-gui, evc-dist ...
 └── utils # store utility functions here, should not import from other modules
     ├── shaders # we place the shaders here for easier loading from gl_utils

docs/design/websocket.md

@@ -0,0 +1 @@
+# WebSocket Client Viewer

docs/misc/custom_dataset.md

@@ -165,7 +165,7 @@ Run the ***L3MHET*** model with camera parameter optimization:
 
 ```shell
 # Train l3mhet on static frame
-evc -c configs/exps/l3mhet/l3mhet_${expname}_static.yaml
+evc-train -c configs/exps/l3mhet/l3mhet_${expname}_static.yaml
 
 # Extract camera parameters
 python scripts/tools/extract_optimized_cameras.py -- -c configs/exps/l3mhet/l3mhet_${expname}_static.yaml
@@ -260,16 +260,16 @@ Space carving scripts:
 rm -r ${data_root}/vhulls
 
 # Extract visual hulls
-evc -t test -c configs/base.yaml,configs/models/point_planes.yaml,configs/datasets/renbody/0013_01.yaml,configs/specs/vhulls.yaml val_dataloader_cfg.dataset_cfg.ratio=0.5
+evc-test -c configs/base.yaml,configs/models/point_planes.yaml,configs/datasets/renbody/0013_01.yaml,configs/specs/vhulls.yaml val_dataloader_cfg.dataset_cfg.ratio=0.5
 
 # Preprocess visual hulls
-evc -t test -c configs/base.yaml,configs/models/point_planes.yaml,configs/datasets/renbody/0013_01.yaml,configs/specs/surfs.yaml
+evc-test -c configs/base.yaml,configs/models/point_planes.yaml,configs/datasets/renbody/0013_01.yaml,configs/specs/surfs.yaml
 
 # Extract on optimized cameras
 
 # Extract visual hulls
-evc -t test -c configs/base.yaml,configs/models/point_planes.yaml,configs/datasets/renbody/0013_01.yaml,configs/specs/optimized.yaml,configs/specs/vhulls.yaml val_dataloader_cfg.dataset_cfg.ratio=0.5
+evc-test -c configs/base.yaml,configs/models/point_planes.yaml,configs/datasets/renbody/0013_01.yaml,configs/specs/optimized.yaml,configs/specs/vhulls.yaml val_dataloader_cfg.dataset_cfg.ratio=0.5
 
 # Preprocess visual hulls
-evc -t test -c configs/base.yaml,configs/models/point_planes.yaml,configs/datasets/renbody/0013_01.yaml,configs/specs/optimized.yaml,configs/specs/surfs.yaml
+evc-test -c configs/base.yaml,configs/models/point_planes.yaml,configs/datasets/renbody/0013_01.yaml,configs/specs/optimized.yaml,configs/specs/surfs.yaml
 ```

docs/misc/static.md

@@ -114,10 +114,10 @@ The training should convert to a meaningful stage after 10-20 mins on a 3090 (ac
 
 ```shell
 # With your config files ready, you can run the following command to train the model
-evc -c configs/exps/l3mhet/l3mhet_${expname}.yaml
+evc-train -c configs/exps/l3mhet/l3mhet_${expname}.yaml
 
 # Now run the following command to render some output
-evc -t test -c configs/exps/l3mhet/l3mhet_${expname}.yaml,configs/specs/spiral.yaml
+evc-test -c configs/exps/l3mhet/l3mhet_${expname}.yaml,configs/specs/spiral.yaml
 ```
 [`configs/specs/spiral.yaml`](configs/specs/spiral.yaml): please check this file for more details, it's a collection of configurations to tell the dataloader and visualizer to generate a spiral path by interpolating the given cameras
 
@@ -164,13 +164,13 @@ The [`colmap.yaml`](configs/specs/colmap.yaml) provides some heuristics for larg
 
 ```shell
 # Train a 3DGS model on the ${expname} dataset
-evc -c configs/exps/gaussiant/gaussiant_${expname}.yaml
+evc-train -c configs/exps/gaussiant/gaussiant_${expname}.yaml
 
 # Perform rendering on the trained ${expname} dataset
-evc -t test -c configs/exps/gaussiant/gaussiant_${expname}.yaml,configs/specs/superm.yaml,configs/specs/spiral.yaml
+evc-test -c configs/exps/gaussiant/gaussiant_${expname}.yaml,configs/specs/superm.yaml,configs/specs/spiral.yaml
 
 # Perform rendering with GUI, do this on a machine with monitor, tested on Windows and Ubuntu
-evc -t gui -c configs/exps/gaussiant/gaussiant_${expname}.yaml,configs/specs/superm.yaml
+evc-gui -c configs/exps/gaussiant/gaussiant_${expname}.yaml,configs/specs/superm.yaml
 ```
 
 The [`superm.yaml`](configs/specs/superm.yaml) skips the loading of input images and other initializations for network-only rendering since all the information we need is contained inside the trained model.
@@ -185,15 +185,15 @@ Pre-trained model for ENeRFi on the DTU dataset can be downloaded from [this Goo
 
 ```shell
 # Render ENeRF with GUI on zju3dv dataset
-evc -t gui -c configs/base.yaml,configs/models/enerfi.yaml,configs/datasets/zju/zju3dv.yaml,configs/specs/optimized.yaml exp_name=enerfi_dtu val_dataloader_cfg.dataset_cfg.cache_raw=False val_dataloader_cfg.dataset_cfg.ratio=1.0 val_dataloader_cfg.dataset_cfg.view_sample=0,None,5 val_dataloader_cfg.dataset_cfg.force_sparse_view=True val_dataloader_cfg.dataset_cfg.n_srcs_list=3, val_dataloader_cfg.dataset_cfg.use_vhulls=True
+evc-gui -c configs/base.yaml,configs/models/enerfi.yaml,configs/datasets/zju/zju3dv.yaml,configs/specs/optimized.yaml exp_name=enerfi_dtu val_dataloader_cfg.dataset_cfg.cache_raw=False val_dataloader_cfg.dataset_cfg.ratio=1.0 val_dataloader_cfg.dataset_cfg.view_sample=0,None,5 val_dataloader_cfg.dataset_cfg.force_sparse_view=True val_dataloader_cfg.dataset_cfg.n_srcs_list=3, val_dataloader_cfg.dataset_cfg.use_vhulls=True
 
 # Render ENeRF with GUI on zju3dv dataset using fp16, higher performance, worse results on some views
-evc -t gui -c configs/base.yaml,configs/models/enerfi.yaml,configs/datasets/zju/zju3dv.yaml,configs/specs/optimized.yaml,configs/specs/fp16.yaml exp_name=enerfi_dtu val_dataloader_cfg.dataset_cfg.cache_raw=False val_dataloader_cfg.dataset_cfg.ratio=1.0 val_dataloader_cfg.dataset_cfg.view_sample=0,None,5 val_dataloader_cfg.dataset_cfg.force_sparse_view=True val_dataloader_cfg.dataset_cfg.n_srcs_list=3, val_dataloader_cfg.dataset_cfg.use_vhulls=True # only cache ten images
+evc-gui -c configs/base.yaml,configs/models/enerfi.yaml,configs/datasets/zju/zju3dv.yaml,configs/specs/optimized.yaml,configs/specs/fp16.yaml exp_name=enerfi_dtu val_dataloader_cfg.dataset_cfg.cache_raw=False val_dataloader_cfg.dataset_cfg.ratio=1.0 val_dataloader_cfg.dataset_cfg.view_sample=0,None,5 val_dataloader_cfg.dataset_cfg.force_sparse_view=True val_dataloader_cfg.dataset_cfg.n_srcs_list=3, val_dataloader_cfg.dataset_cfg.use_vhulls=True # only cache ten images
 
 # Render ENeRF on zju3dv dataset with spiral paths
-evc -t test -c configs/base.yaml,configs/models/enerfi.yaml,configs/datasets/zju/zju3dv.yaml,configs/specs/optimized.yaml,configs/specs/spiral.yaml,configs/specs/ibr.yaml exp_name=enerfi_dtu val_dataloader_cfg.dataset_cfg.cache_raw=False val_dataloader_cfg.dataset_cfg.ratio=1.0 val_dataloader_cfg.dataset_cfg.view_sample=0,None,5 val_dataloader_cfg.dataset_cfg.force_sparse_view=True val_dataloader_cfg.dataset_cfg.n_srcs_list=3, val_dataloader_cfg.dataset_cfg.use_vhulls=True val_dataloader_cfg.dataset_cfg.render_size=768,1366 runner_cfg.visualizer_cfg.save_tag=zju3dv
+evc-test -c configs/base.yaml,configs/models/enerfi.yaml,configs/datasets/zju/zju3dv.yaml,configs/specs/optimized.yaml,configs/specs/spiral.yaml,configs/specs/ibr.yaml exp_name=enerfi_dtu val_dataloader_cfg.dataset_cfg.cache_raw=False val_dataloader_cfg.dataset_cfg.ratio=1.0 val_dataloader_cfg.dataset_cfg.view_sample=0,None,5 val_dataloader_cfg.dataset_cfg.force_sparse_view=True val_dataloader_cfg.dataset_cfg.n_srcs_list=3, val_dataloader_cfg.dataset_cfg.use_vhulls=True val_dataloader_cfg.dataset_cfg.render_size=768,1366 runner_cfg.visualizer_cfg.save_tag=zju3dv
 
 # Render ENeRF with GUI on RenBody dataset
-evc -t gui -c configs/base.yaml,configs/models/enerfi.yaml,configs/datasets/renbody/0013_01_obj.yaml,configs/specs/optimized.yaml,configs/specs/mask.yaml,configs/specs/vf0.yaml exp_name=enerfi_dtu val_dataloader_cfg.dataset_cfg.n_srcs_list=4, val_dataloader_cfg.dataset_cfg.use_vhulls=True val_dataloader_cfg.dataset_cfg.ratio=1.0
-evc -t gui -c configs/base.yaml,configs/models/enerfi.yaml,configs/datasets/renbody/0008_01_obj.yaml,configs/specs/optimized.yaml,configs/specs/mask.yaml,configs/specs/vf0.yaml exp_name=enerfi_dtu val_dataloader_cfg.dataset_cfg.n_srcs_list=4, val_dataloader_cfg.dataset_cfg.use_vhulls=True val_dataloader_cfg.dataset_cfg.ratio=1.0
+evc-gui -c configs/base.yaml,configs/models/enerfi.yaml,configs/datasets/renbody/0013_01_obj.yaml,configs/specs/optimized.yaml,configs/specs/mask.yaml,configs/specs/vf0.yaml exp_name=enerfi_dtu val_dataloader_cfg.dataset_cfg.n_srcs_list=4, val_dataloader_cfg.dataset_cfg.use_vhulls=True val_dataloader_cfg.dataset_cfg.ratio=1.0
+evc-gui -c configs/base.yaml,configs/models/enerfi.yaml,configs/datasets/renbody/0008_01_obj.yaml,configs/specs/optimized.yaml,configs/specs/mask.yaml,configs/specs/vf0.yaml exp_name=enerfi_dtu val_dataloader_cfg.dataset_cfg.n_srcs_list=4, val_dataloader_cfg.dataset_cfg.use_vhulls=True val_dataloader_cfg.dataset_cfg.ratio=1.0
 ```

docs/misc/tricks.md

@@ -1,15 +1,15 @@
 ### Tricks
 
 ```shell
-evc -t test -c configs/exps/l3mhet/l3mhet_ipstage.yaml configs=configs/specs/geometry.yaml val_dataloader_cfg.dataset_cfg.voxel_size=0.05 val_dataloader_cfg.dataset_cfg.frame_sample=0,1,1
-evc -t test -c configs/exps/enerf/enerf_seq3.yaml exp_name=enerf_dtu configs=configs/specs/fp16.yaml,configs/specs/cubic.yaml,configs/specs/ibr.yaml val_dataloader_cfg.dataset_cfg.render_size=1080,1920 val_dataloader_cfg.dataset_cfg.smoothing_term=15.0 val_dataloader_cfg.dataset_cfg.n_render_views=300 runner_cfg.visualizer_cfg.save_tag=seq3
-evc -t test -c configs/exps/enerf/enerf_seq3.yaml exp_name=enerf_dtu configs=configs/specs/fp16.yaml,configs/specs/cubic.yaml,configs/specs/ibr.yaml runner_cfg.visualizer_cfg.save_tag=seq3 val_dataloader_cfg.dataset_cfg.render_size=1080,1920 val_dataloader_cfg.dataset_cfg.smoothing_term=15.0 val_dataloader_cfg.dataset_cfg.n_render_views=300 val_dataloader_cfg.batch_sampler_cfg.n_srcs_list=2,
+evc-test -c configs/exps/l3mhet/l3mhet_ipstage.yaml configs=configs/specs/geometry.yaml val_dataloader_cfg.dataset_cfg.voxel_size=0.05 val_dataloader_cfg.dataset_cfg.frame_sample=0,1,1
+evc-test -c configs/exps/enerf/enerf_seq3.yaml exp_name=enerf_dtu configs=configs/specs/fp16.yaml,configs/specs/cubic.yaml,configs/specs/ibr.yaml val_dataloader_cfg.dataset_cfg.render_size=1080,1920 val_dataloader_cfg.dataset_cfg.smoothing_term=15.0 val_dataloader_cfg.dataset_cfg.n_render_views=300 runner_cfg.visualizer_cfg.save_tag=seq3
+evc-test -c configs/exps/enerf/enerf_seq3.yaml exp_name=enerf_dtu configs=configs/specs/fp16.yaml,configs/specs/cubic.yaml,configs/specs/ibr.yaml runner_cfg.visualizer_cfg.save_tag=seq3 val_dataloader_cfg.dataset_cfg.render_size=1080,1920 val_dataloader_cfg.dataset_cfg.smoothing_term=15.0 val_dataloader_cfg.dataset_cfg.n_render_views=300 val_dataloader_cfg.batch_sampler_cfg.n_srcs_list=2,
 
 python scripts/fusion/volume_fusion.py -- -c configs/exps/l3mhet/l3mhet_zju3dv.yaml configs=configs/specs/fp16.yaml,configs/specs/vis.yaml val_dataloader_cfg.dataset_cfg.ratio=0.5 val_dataloader_cfg.dataset_cfg.frame_sample=0,None,25
 python scripts/fusion/volume_fusion.py -- -c configs/exps/l3mhet/l3mhet_dance3_static.yaml configs=configs/specs/fp16.yaml,configs/specs/vis.yaml val_dataloader_cfg.dataset_cfg.ratio=0.5 val_dataloader_cfg.view_sample=0,None,3
 
-evc -t test -c configs/projects/stableenerf/enerf/enerf_my_313_se.yaml runner_cfg.visualizer_cfg.save_tag=dtu_pretrain val_dataloader_cfg.dataset_cfg.immask_crop=False val_dataloader_cfg.dataset_cfg.imbound_crop=False val_dataloader_cfg.dataset_cfg.immask_fill=True
-evc -t test -c configs/exps/l3mhet/l3mhet_seq3.yaml exp_name=l3mhet_seq3 configs=configs/specs/fp16.yaml,configs/specs/interp.yaml val_dataloader_cfg.dataset_cfg.render_size=1080,1920 val_dataloader_cfg.dataset_cfg.smoothing_term=15.0 val_dataloader_cfg.dataset_cfg.n_render_views=300
+evc-test -c configs/projects/stableenerf/enerf/enerf_my_313_se.yaml runner_cfg.visualizer_cfg.save_tag=dtu_pretrain val_dataloader_cfg.dataset_cfg.immask_crop=False val_dataloader_cfg.dataset_cfg.imbound_crop=False val_dataloader_cfg.dataset_cfg.immask_fill=True
+evc-test -c configs/exps/l3mhet/l3mhet_seq3.yaml exp_name=l3mhet_seq3 configs=configs/specs/fp16.yaml,configs/specs/interp.yaml val_dataloader_cfg.dataset_cfg.render_size=1080,1920 val_dataloader_cfg.dataset_cfg.smoothing_term=15.0 val_dataloader_cfg.dataset_cfg.n_render_views=300
 
 python scripts/fusion/volume_fusion.py -- -c configs/exps/l3mhet/l3mhet_xuzhen_static.yaml configs=configs/specs/fp16.yaml,configs/specs/vis.yaml val_dataloader_cfg.dataset_cfg.ratio=0.5 val_dataloader_cfg.dataset_cfg.view_sample=0,None,6
 python scripts/tools/extract_mesh.py --occ_thresh 0.3 -- -c configs/exps/l3mhet/l3mhet_0008_05_static.yaml
@@ -20,14 +20,14 @@ python scripts/realtime4dv/charger.py SuperChargedR4DV scr4dv_my_390_optcam -- -
 
 # Start a long running profling job to debug training time issues
 evc-prof -c configs/exps/r4dv/r4dv_${name}_optcam.yaml profiler_cfg.skip_first=0 profiler_cfg.wait=2490 profiler_cfg.warmup=5 profiler_cfg.active=5 profiler_cfg.repeat=0 # long running profiling job
-evc -c configs/exps/r4dv/r4dv_${name}_optcam.yaml profiler_cfg.enabled=True profiler_cfg.skip_first=0 profiler_cfg.wait=2490 profiler_cfg.warmup=5 profiler_cfg.active=5 profiler_cfg.repeat=0 profiler_cfg.clear_previous=False runner_cfg.epochs=250 runner_cfg.decay_epochs=1600 # long running profiling job
-evc -t gui -c configs/exps/r4dv/r4dv_${name}_optcam.yaml exp_name=scr4dv_${name}_optcam configs=configs/specs/superf.yaml val_dataloader_cfg.dataset_cfg.frame_sample=0,1,1
+evc-train -c configs/exps/r4dv/r4dv_${name}_optcam.yaml profiler_cfg.enabled=True profiler_cfg.skip_first=0 profiler_cfg.wait=2490 profiler_cfg.warmup=5 profiler_cfg.active=5 profiler_cfg.repeat=0 profiler_cfg.clear_previous=False runner_cfg.epochs=250 runner_cfg.decay_epochs=1600 # long running profiling job
+evc-gui -c configs/exps/r4dv/r4dv_${name}_optcam.yaml exp_name=scr4dv_${name}_optcam configs=configs/specs/superf.yaml val_dataloader_cfg.dataset_cfg.frame_sample=0,1,1
 
 # Profiling the l3mhet job
-evc -c configs/exps/l3mhet/l3mhet_seq3.yaml exp_name=l3mhet_seq3_prof runner_cfg.ep_iter=50 runner_cfg.epochs=1 profiler_cfg.enabled=True profiler_cfg.skip_first=0 profiler_cfg.wait=40 profiler_cfg.warmup=5 profiler_cfg.active=5 profiler_cfg.repeat=1 profiler_cfg.clear_previous=False runner_cfg.resume=False
+evc-train -c configs/exps/l3mhet/l3mhet_seq3.yaml exp_name=l3mhet_seq3_prof runner_cfg.ep_iter=50 runner_cfg.epochs=1 profiler_cfg.enabled=True profiler_cfg.skip_first=0 profiler_cfg.wait=40 profiler_cfg.warmup=5 profiler_cfg.active=5 profiler_cfg.repeat=1 profiler_cfg.clear_previous=False runner_cfg.resume=False
 
 # Export video for easyvolcap technical communications
-evc -t test -c configs/exps/r4dv/r4dv_0013_01_optcam.yaml exp_name=scr4dv_0013_01_optcam configs=configs/specs/superf.yaml val_dataloader_cfg.dataset_cfg.frame_sample=0,150,1 val_dataloader_cfg.dataset_cfg.camera_path_intri=data/paths/0013_01/intri.yml val_dataloader_cfg.dataset_cfg.camera_path_extri=data/paths/0013_01/extri.yml configs=configs/specs/superf.yaml,configs/specs/cubic.yaml,configs/specs/ibr.yaml val_dataloader_cfg.dataset_cfg.smoothing_term=10.0 model_cfg.sampler_cfg.should_release_memory=False val_dataloader_cfg.dataset_cfg.ratio=1.0 val_dataloader_cfg.dataset_cfg.render_size=2160,3840 val_dataloader_cfg.dataset_cfg.n_render_views=600 runner_cfg.visualizer_cfg.vis_ext=.png runner_cfg.visualizer_cfg.video_fps=60 runner_cfg.visualizer_cfg.dpt_cm=virdis
+evc-test -c configs/exps/r4dv/r4dv_0013_01_optcam.yaml exp_name=scr4dv_0013_01_optcam configs=configs/specs/superf.yaml val_dataloader_cfg.dataset_cfg.frame_sample=0,150,1 val_dataloader_cfg.dataset_cfg.camera_path_intri=data/paths/0013_01/intri.yml val_dataloader_cfg.dataset_cfg.camera_path_extri=data/paths/0013_01/extri.yml configs=configs/specs/superf.yaml,configs/specs/cubic.yaml,configs/specs/ibr.yaml val_dataloader_cfg.dataset_cfg.smoothing_term=10.0 model_cfg.sampler_cfg.should_release_memory=False val_dataloader_cfg.dataset_cfg.ratio=1.0 val_dataloader_cfg.dataset_cfg.render_size=2160,3840 val_dataloader_cfg.dataset_cfg.n_render_views=600 runner_cfg.visualizer_cfg.vis_ext=.png runner_cfg.visualizer_cfg.video_fps=60 runner_cfg.visualizer_cfg.dpt_cm=virdis
 
 # Prepare my server configuration
 zip -r zsh_vim_tmux.zip .zshrc .oh-my-zsh .tmux .tmux.conf .tmux.conf.local .p10k.zsh .gitconfig .ssh .config/nvim software/exa software/nvim-linux64 software/vmtouch software/viu software/v2ray-sagernet software/aliyunpan -x .ssh/id_rsa