Cannot start live llava in Jetson Orin Nano "video source /dev/video0 timed out during capture"

Autonomous Machines Jetson & Embedded Systems Jetson Orin Nano
, ,
1

Hi all,

I follow the tutorial in AI lab and this post: https://forums.developer.nvidia.com/t/cant-start-the-live-llava-on-jetson-orin-nano-developer-kit/290887/1

I run the command:

jetson-containers run $(autotag nano_llm) \
  python3 -m nano_llm.agents.video_query --api=mlc \
    --model Efficient-Large-Model/VILA1.5-3b \
    --max-context-len 256 \
    --max-new-tokens 32 \
    --video-input /dev/video0 \
    --video-output webrtc://@:8554/output \
    --vision-api=hf

And this is what I have:

Namespace(packages=['nano_llm'], prefer=['local', 'registry', 'build'], disable=[''], user='dustynv', output='/tmp/autotag', quiet=False, verbose=False)
-- L4T_VERSION=36.4.3  JETPACK_VERSION=6.2  CUDA_VERSION=12.6
-- Finding compatible container image for ['nano_llm']
dustynv/nano_llm:r36.4.0
V4L2_DEVICES:  --device /dev/video0 
### DISPLAY environmental variable is already set: ":0"
localuser:root being added to access control list
+ docker run --runtime nvidia -it --rm --network host --shm-size=8g --volume /tmp/argus_socket:/tmp/argus_socket --volume /etc/enctune.conf:/etc/enctune.conf --volume /etc/nv_tegra_release:/etc/nv_tegra_release --volume /tmp/nv_jetson_model:/tmp/nv_jetson_model --volume /var/run/dbus:/var/run/dbus --volume /var/run/avahi-daemon/socket:/var/run/avahi-daemon/socket --volume /var/run/docker.sock:/var/run/docker.sock --volume /home/lcmo/jetson-containers/data:/data -v /etc/localtime:/etc/localtime:ro -v /etc/timezone:/etc/timezone:ro --device /dev/snd -e PULSE_SERVER=unix:/run/user/1000/pulse/native -v /run/user/1000/pulse:/run/user/1000/pulse --device /dev/bus/usb -e DISPLAY=:0 -v /tmp/.X11-unix/:/tmp/.X11-unix -v /tmp/.docker.xauth:/tmp/.docker.xauth -e XAUTHORITY=/tmp/.docker.xauth --device /dev/video0 --device /dev/i2c-0 --device /dev/i2c-1 --device /dev/i2c-2 --device /dev/i2c-4 --device /dev/i2c-5 --device /dev/i2c-7 --device /dev/i2c-9 --name jetson_container_20250204_111816 dustynv/nano_llm:r36.4.0 python3 -m nano_llm.agents.video_query --api=mlc --model Efficient-Large-Model/VILA1.5-3b --max-context-len 256 --max-new-tokens 32 --video-input /dev/video0 --video-output webrtc://@:8554/output --vision-api=hf
/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py:124: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
  warnings.warn(
/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py:1142: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
  warnings.warn(
Fetching 13 files: 100%|█████████████████████| 13/13 [00:00<00:00, 42366.71it/s]
Fetching 17 files: 100%|██████████████████████| 17/17 [00:00<00:00, 5149.73it/s]
11:18:30 | INFO | loading /data/models/huggingface/models--Efficient-Large-Model--VILA1.5-3b/snapshots/42d1dda6807cc521ef27674ca2ae157539d17026 with MLC
11:18:35 | INFO | NumExpr defaulting to 6 threads.
11:18:35 | WARNING | AWQ not installed (requires JetPack 6 / L4T R36) - AWQ models will fail to initialize
11:18:37 | INFO | patching model config with {'model_type': 'llama'}
11:18:38 | INFO | device=cuda(0), name=Orin, compute=8.7, max_clocks=1020000, multiprocessors=8, max_thread_dims=[1024, 1024, 64], api_version=12060, driver_version=None
11:18:38 | INFO | loading VILA1.5-3b from /data/models/mlc/dist/VILA1.5-3b/ctx256/VILA1.5-3b-q4f16_ft/VILA1.5-3b-q4f16_ft-cuda.so
11:18:38 | WARNING | model library /data/models/mlc/dist/VILA1.5-3b/ctx256/VILA1.5-3b-q4f16_ft/VILA1.5-3b-q4f16_ft-cuda.so was missing metadata
11:18:54 | INFO | loading siglip vision model /data/models/huggingface/models--Efficient-Large-Model--VILA1.5-3b/snapshots/42d1dda6807cc521ef27674ca2ae157539d17026/vision_tower
11:19:06 | INFO | loaded siglip vision model /data/models/huggingface/models--Efficient-Large-Model--VILA1.5-3b/snapshots/42d1dda6807cc521ef27674ca2ae157539d17026/vision_tower
11:19:07 | INFO | mm_projector (mlp_downsample)  Sequential(
  (0): DownSampleBlock()
  (1): LayerNorm((4608,), eps=1e-05, elementwise_affine=True)
  (2): Linear(in_features=4608, out_features=2560, bias=True)
  (3): GELU(approximate='none')
  (4): Linear(in_features=2560, out_features=2560, bias=True)
)
11:19:07 | INFO | mm_projector weights:  dict_keys(['1.bias', '1.weight', '2.bias', '2.weight', '4.bias', '4.weight'])
┌────────────────────────────┬─────────────────────────────────────────────────────────────────────────────┐
│ _name_or_path              │ ./llm                                                                       │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ architectures              │ ['LlamaForCausalLM']                                                        │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ drop_path_rate             │ 0.0                                                                         │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ hidden_size                │ 2560                                                                        │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ image_aspect_ratio         │ resize                                                                      │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ interpolate_mode           │ linear                                                                      │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ mm_hidden_size             │ 1152                                                                        │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ mm_projector_lr            │                                                                             │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ mm_use_im_patch_token      │ False                                                                       │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ mm_use_im_start_end        │ False                                                                       │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ mm_vision_select_feature   │ cls_patch                                                                   │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ mm_vision_select_layer     │ -2                                                                          │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ model_dtype                │ torch.bfloat16                                                              │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ model_type                 │ llama                                                                       │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ num_video_frames           │ 8                                                                           │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ resume_path                │ ./vlm                                                                       │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ s2                         │ False                                                                       │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ s2_max_split_size          │ 336                                                                         │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ s2_scales                  │ 336,672,1008                                                                │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ transformers_version       │ 4.36.2                                                                      │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ tune_language_model        │ True                                                                        │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ tune_mm_projector          │ True                                                                        │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ tune_vision_tower          │ True                                                                        │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ vision_resolution          │ -1                                                                          │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ name                       │ VILA1.5-3b                                                                  │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ api                        │ mlc                                                                         │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ max_position_embeddings    │ 4096                                                                        │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ mm_vision_tower            │ /data/models/huggingface/models--Efficient-Large-Model--VILA1.5-3b/snapshot │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ mm_projector_path          │ /data/models/huggingface/models--Efficient-Large-Model--VILA1.5-3b/snapshot │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ mm_projector_type          │ mlp_downsample                                                              │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ attention_bias             │ False                                                                       │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ attention_dropout          │ 0.0                                                                         │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ bos_token_id               │ 1                                                                           │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ eos_token_id               │ 2                                                                           │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ hidden_act                 │ silu                                                                        │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ initializer_range          │ 0.02                                                                        │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ intermediate_size          │ 6912                                                                        │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ model_max_length           │ 4096                                                                        │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ num_attention_heads        │ 20                                                                          │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ num_hidden_layers          │ 32                                                                          │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ num_key_value_heads        │ 20                                                                          │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ pad_token_id               │ 0                                                                           │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ pretraining_tp             │ 1                                                                           │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ rms_norm_eps               │ 1e-05                                                                       │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ rope_scaling               │                                                                             │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ rope_theta                 │ 10000.0                                                                     │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ tie_word_embeddings        │ False                                                                       │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ tokenizer_model_max_length │ 4096                                                                        │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ tokenizer_padding_side     │ right                                                                       │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ torch_dtype                │ bfloat16                                                                    │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ use_cache                  │ True                                                                        │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ vocab_size                 │ 32000                                                                       │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ quant                      │ q4f16_ft                                                                    │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ type                       │ llama                                                                       │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ max_length                 │ 256                                                                         │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ prefill_chunk_size         │ -1                                                                          │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ load_time                  │ 36.75651084200035                                                           │
├────────────────────────────┼─────────────────────────────────────────────────────────────────────────────┤
│ params_size                │ 1300.8330078125                                                             │
└────────────────────────────┴─────────────────────────────────────────────────────────────────────────────┘

11:19:07 | INFO | using chat template 'vicuna-v1' for model VILA1.5-3b
11:19:07 | INFO | model 'VILA1.5-3b', chat template 'vicuna-v1' stop tokens:  ['</s>'] -> [2]
11:19:07 | INFO | Warming up LLM with query 'What is 2+2?'
11:19:08 | INFO | Warmup response:  '4</s>'
11:19:08 | INFO | plugin | connected PrintStream to on_text on channel 0
11:19:08 | INFO | plugin | connected ChatQuery to PrintStream on channel 0
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)

(gst-plugin-scanner:75): GLib-GObject-WARNING **: 11:19:09.431: cannot register existing type 'GstRtpSrc'

(gst-plugin-scanner:75): GLib-GObject-CRITICAL **: 11:19:09.431: g_type_add_interface_static: assertion 'G_TYPE_IS_INSTANTIATABLE (instance_type)' failed

(gst-plugin-scanner:75): GLib-CRITICAL **: 11:19:09.431: g_once_init_leave: assertion 'result != 0' failed

(gst-plugin-scanner:75): GStreamer-CRITICAL **: 11:19:09.431: gst_element_register: assertion 'g_type_is_a (type, GST_TYPE_ELEMENT)' failed

(gst-plugin-scanner:75): GLib-GObject-WARNING **: 11:19:09.431: cannot register existing type 'GstRtpSink'

(gst-plugin-scanner:75): GLib-GObject-CRITICAL **: 11:19:09.432: g_type_add_interface_static: assertion 'G_TYPE_IS_INSTANTIATABLE (instance_type)' failed

(gst-plugin-scanner:75): GLib-CRITICAL **: 11:19:09.432: g_once_init_leave: assertion 'result != 0' failed

(gst-plugin-scanner:75): GStreamer-CRITICAL **: 11:19:09.432: gst_element_register: assertion 'g_type_is_a (type, GST_TYPE_ELEMENT)' failed
sh: 1: lsmod: not found
sh: 1: modprobe: not found
[gstreamer] initialized gstreamer, version 1.20.3.0
[gstreamer] gstCamera -- attempting to create device v4l2:///dev/video0
[gstreamer] gstCamera -- didn't discover any v4l2 devices
[gstreamer] gstCamera -- device discovery failed, but /dev/video0 exists
[gstreamer]              support for compressed formats is disabled
[gstreamer] gstCamera pipeline string:
[gstreamer] v4l2src device=/dev/video0 do-timestamp=true ! nvv4l2decoder name=decoder enable-max-performance=1 ! video/x-raw(memory:NVMM) ! nvvidconv flip-method=0 ! video/x-raw ! appsink name=mysink sync=false
sh: 1: lsmod: not found
sh: 1: modprobe: not found
[gstreamer] gstCamera successfully created device v4l2:///dev/video0
[video]  created gstCamera from v4l2:///dev/video0
------------------------------------------------
gstCamera video options:
------------------------------------------------
  -- URI: v4l2:///dev/video0
     - protocol:  v4l2
     - location:  /dev/video0
  -- deviceType: v4l2
  -- ioType:     input
  -- codec:      unknown
  -- codecType:  v4l2
  -- width:      1280
  -- height:     720
  -- frameRate:  30
  -- numBuffers: 4
  -- zeroCopy:   true
  -- flipMethod: none
  -- sslCert     /etc/ssl/private/localhost.cert.pem
  -- sslKey      /etc/ssl/private/localhost.key.pem
------------------------------------------------
[gstreamer] gstEncoder -- codec not specified, defaulting to H.264
failed to find/open file /proc/device-tree/model
[gstreamer] gstEncoder -- detected board 'NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super'
[gstreamer] gstEncoder -- hardware encoder not detected, reverting to CPU encoder
[gstreamer] gstEncoder -- pipeline launch string:
[gstreamer] appsrc name=mysource is-live=true do-timestamp=true format=3 ! x264enc name=encoder bitrate=4000 speed-preset=ultrafast tune=zerolatency key-int-max=30 insert-vui=1 ! video/x-h264 ! rtph264pay config-interval=1 ! application/x-rtp,media=video,encoding-name=H264,clock-rate=90000,payload=96 ! tee name=videotee ! queue ! fakesink
[webrtc] WebRTC server started @ https://lcmo-desktop:8554
[webrtc] WebRTC server thread running...
[webrtc] websocket route added /output
[video]  created gstEncoder from webrtc://@:8554/output
------------------------------------------------
gstEncoder video options:
------------------------------------------------
  -- URI: webrtc://@:8554/output
     - protocol:  webrtc
     - location:  0.0.0.0
     - port:      8554
  -- deviceType: ip
  -- ioType:     output
  -- codec:      H264
  -- codecType:  cpu
  -- frameRate:  30
  -- bitRate:    4000000
  -- numBuffers: 4
  -- zeroCopy:   true
  -- latency     10
  -- sslCert     /etc/ssl/private/localhost.cert.pem
  -- sslKey      /etc/ssl/private/localhost.key.pem
------------------------------------------------
11:19:10 | INFO | plugin | connected VideoSource to on_video on channel 0
11:19:11 | INFO | mounting webserver path /data/datasets/uploads to /images/uploads
[gstreamer] opening gstCamera for streaming, transitioning pipeline to GST_STATE_PLAYING
11:19:11 | INFO | starting webserver @ https://0.0.0.0:8050
11:19:11 | SUCCESS | VideoQuery - system ready
 * Serving Flask app 'nano_llm.web.server'
 * Debug mode: on
Opening in BLOCKING MODE 
11:19:11 | INFO | WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
 * Running on all addresses (0.0.0.0)
 * Running on https://127.0.0.1:8050
 * Running on https://10.0.50.252:8050
[gstreamer] gstreamer changed state from NULL to READY ==> mysink
[gstreamer] gstreamer changed state from NULL to READY ==> capsfilter1
[gstreamer] gstreamer changed state from NULL to READY ==> nvvconv0
[gstreamer] gstreamer changed state from NULL to READY ==> capsfilter0
[gstreamer] gstreamer changed state from NULL to READY ==> decoder
11:19:11 | INFO | Press CTRL+C to quit
[gstreamer] gstreamer changed state from NULL to READY ==> v4l2src0
[gstreamer] gstreamer changed state from NULL to READY ==> pipeline0
[gstreamer] gstreamer changed state from READY to PAUSED ==> capsfilter1
[gstreamer] gstreamer changed state from READY to PAUSED ==> nvvconv0
[gstreamer] gstreamer changed state from READY to PAUSED ==> capsfilter0
[gstreamer] gstreamer changed state from READY to PAUSED ==> decoder
[gstreamer] gstreamer stream status CREATE ==> src
[gstreamer] gstreamer changed state from READY to PAUSED ==> v4l2src0
[gstreamer] gstreamer changed state from READY to PAUSED ==> pipeline0
[gstreamer] gstreamer message new-clock ==> pipeline0
[gstreamer] gstreamer stream status ENTER ==> src
[gstreamer] gstreamer changed state from PAUSED to PLAYING ==> capsfilter1
[gstreamer] gstreamer changed state from PAUSED to PLAYING ==> nvvconv0
[gstreamer] gstreamer changed state from PAUSED to PLAYING ==> capsfilter0
[gstreamer] gstreamer changed state from PAUSED to PLAYING ==> decoder
[gstreamer] gstreamer changed state from PAUSED to PLAYING ==> v4l2src0
[gstreamer] gstreamer message stream-start ==> pipeline0
[gstreamer] gstCamera -- end of stream (EOS)
[gstreamer] gstreamer v4l2src0 ERROR Internal data stream error.
[gstreamer] gstreamer Debugging info: ../libs/gst/base/gstbasesrc.c(3127): gst_base_src_loop (): /GstPipeline:pipeline0/GstV4l2Src:v4l2src0:
streaming stopped, reason not-negotiated (-4)
[gstreamer] gstreamer changed state from READY to PAUSED ==> mysink
[gstreamer] gstreamer message latency ==> mysink
[gstreamer] gstCamera::Capture() -- a timeout occurred waiting for the next image buffer
11:19:13 | WARNING | video source /dev/video0 timed out during capture, re-trying...
[gstreamer] gstCamera::Capture() -- a timeout occurred waiting for the next image buffer
11:19:16 | WARNING | video source /dev/video0 timed out during capture, re-trying...
[gstreamer] gstCamera::Capture() -- a timeout occurred waiting for the next image buffer
11:19:18 | WARNING | video source /dev/video0 timed out during capture, re-trying...
[gstreamer] gstCamera::Capture() -- a timeout occurred waiting for the next image buffer
11:19:21 | WARNING | video source /dev/video0 timed out during capture, re-trying...
[gstreamer] gstCamera::Capture() -- a timeout occurred waiting for the next image buffer
11:19:23 | WARNING | video source /dev/video0 timed out during capture, re-trying...
[gstreamer] gstCamera::Capture() -- a timeout occurred waiting for the next image buffer
11:19:26 | WARNING | video source /dev/video0 timed out during capture, re-trying...
[gstreamer] gstCamera::Capture() -- a timeout occurred waiting for the next image buffer
11:19:28 | WARNING | video source /dev/video0 timed out during capture, re-trying...
[gstreamer] gstCamera::Capture() -- a timeout occurred waiting for the next image buffer
11:19:31 | WARNING | video source /dev/video0 timed out during capture, re-trying...
11:19:31 | ERROR | Re-initializing video source "/dev/video0"
[gstreamer] gstCamera -- stopping pipeline, transitioning to GST_STATE_NULL
[gstreamer] gstCamera -- pipeline stopped
[gstreamer] gstCamera -- attempting to create device v4l2:///dev/video0
Opening in BLOCKING MODE 
Opening in BLOCKING MODE
Available Sensor modes :
Resolution: 3280 x 2464 ; Framerate = 21.000000; Analog Gain Range Min 1.000000, Max 10.625000, Exposure Range Min 13000, Max 683709000

Resolution: 3280 x 1848 ; Framerate = 28.000001; Analog Gain Range Min 1.000000, Max 10.625000, Exposure Range Min 13000, Max 683709000

Resolution: 1920 x 1080 ; Framerate = 29.999999; Analog Gain Range Min 1.000000, Max 10.625000, Exposure Range Min 13000, Max 683709000

Resolution: 1640 x 1232 ; Framerate = 29.999999; Analog Gain Range Min 1.000000, Max 10.625000, Exposure Range Min 13000, Max 683709000

Resolution: 1280 x 720 ; Framerate = 59.999999; Analog Gain Range Min 1.000000, Max 10.625000, Exposure Range Min 13000, Max 683709000

DEFAULT no IOCTL called
DEFAULT no IOCTL called
DEFAULT no IOCTL called
DEFAULT no IOCTL called
DEFAULT no IOCTL called
DEFAULT no IOCTL called
[gstreamer] gstCamera -- found v4l2 device: NvV4L2 Argus PLugin
[gstreamer] v4l2-proplist, device.path=(string)/dev/video0, udev-probed=(boolean)false, device.api=(string)v4l2, v4l2.device.driver=(string)"0.99.3.3\ \(multi-NvV4L2\ Argus\ PLugin", v4l2.device.card=(string)"NvV4L2\ Argus\ PLugin", v4l2.device.bus_info=(string)platform:NV-ARGUS:1.000000, v4l2.device.version=(uint)0, v4l2.device.capabilities=(uint)2216693760, v4l2.device.device_caps=(uint)69210112;
[gstreamer] gstCamera -- found 2 caps for v4l2 device /dev/video0
[gstreamer] [0] video/x-raw, format=(string)NV12, width=(int)[ 48, 3280 ], height=(int)[ 48, 2464 ], framerate=(fraction)[ 0/1, 2147483647/1 ];
[gstreamer] [1] video/x-raw, format=(string)NV12, width=(int)[ 48, 3280 ], height=(int)[ 48, 2464 ], framerate=(fraction)[ 0/1, 2147483647/1 ], interlace-mode=(string)alternate;
[gstreamer] gstCamera -- couldn't find a compatible codec/format for v4l2 device /dev/video0
[gstreamer] gstCamera -- device discovery failed, but /dev/video0 exists
[gstreamer]              support for compressed formats is disabled
[gstreamer] gstCamera pipeline string:
[gstreamer] v4l2src device=/dev/video0 do-timestamp=true ! nvv4l2decoder name=decoder enable-max-performance=1 ! video/x-raw(memory:NVMM) ! nvvidconv flip-method=0 ! video/x-raw ! appsink name=mysink sync=false
[gstreamer] gstCamera successfully created device v4l2:///dev/video0
[video]  created gstCamera from v4l2:///dev/video0

And they just repeat.
I would like to know how to solve the problem.
This is my nvidia-jetpack info:

$ sudo apt-cache show nvidia-jetpack
Package: nvidia-jetpack
Source: nvidia-jetpack (6.2)
Version: 6.2+b77
Architecture: arm64
Maintainer: NVIDIA Corporation
Installed-Size: 194
Depends: nvidia-jetpack-runtime (= 6.2+b77), nvidia-jetpack-dev (= 6.2+b77)
Homepage: http://developer.nvidia.com/jetson
Priority: standard
Section: metapackages
Filename: pool/main/n/nvidia-jetpack/nvidia-jetpack_6.2+b77_arm64.deb
Size: 29298
SHA256: 70553d4b5a802057f9436677ef8ce255db386fd3b5d24ff2c0a8ec0e485c59cd
SHA1: 9deab64d12eef0e788471e05856c84bf2a0cf6e6
MD5sum: 4db65dc36434fe1f84176843384aee23
Description: NVIDIA Jetpack Meta Package
Description-md5: ad1462289bdbc54909ae109d1d32c0a8

Package: nvidia-jetpack
Source: nvidia-jetpack (6.1)
Version: 6.1+b123
Architecture: arm64
Maintainer: NVIDIA Corporation
Installed-Size: 194
Depends: nvidia-jetpack-runtime (= 6.1+b123), nvidia-jetpack-dev (= 6.1+b123)
Homepage: http://developer.nvidia.com/jetson
Priority: standard
Section: metapackages
Filename: pool/main/n/nvidia-jetpack/nvidia-jetpack_6.1+b123_arm64.deb
Size: 29312
SHA256: b6475a6108aeabc5b16af7c102162b7c46c36361239fef6293535d05ee2c2929
SHA1: f0984a6272c8f3a70ae14cb2ca6716b8c1a09543
MD5sum: a167745e1d88a8d7597454c8003fa9a4
Description: NVIDIA Jetpack Meta Package
Description-md5: ad1462289bdbc54909ae109d1d32c0a8

I don’t have background in Computer science nor other related engineering knowledge. Please let me know what further information I have to provide to let you look into the issue. Thanks a lot!

2

Hi,

Could you try below commands and share the logs with us to review?

jetson-containers run $(autotag nano_llm) \
  python3 -m nano_llm.agents.video_query --api=mlc \
    --model Efficient-Large-Model/VILA1.5-3b \
    --max-context-len 256 \
    --max-new-tokens 32 \
    --video-input $(readlink /dev/video0) \
    --video-output webrtc://@:8554/output \
    --vision-api=hf

Thanks

3

Hi,

Thanks for your reply, the following is the logs after running the commands above:

$ jetson-containers run $(autotag nano_llm) \
  python3 -m nano_llm.agents.video_query --api=mlc \
    --model Efficient-Large-Model/VILA1.5-3b \
    --max-context-len 256 \
    --max-new-tokens 32 \
    --video-input $(readlink /dev/video0) \
    --video-output webrtc://@:8554/output \
    --vision-api=hf
Namespace(packages=['nano_llm'], prefer=['local', 'registry', 'build'], disable=[''], user='dustynv', output='/tmp/autotag', quiet=False, verbose=False)
-- L4T_VERSION=36.4.3  JETPACK_VERSION=6.2  CUDA_VERSION=12.6
-- Finding compatible container image for ['nano_llm']
dustynv/nano_llm:r36.4.0
V4L2_DEVICES:  --device /dev/video0 
### DISPLAY environmental variable is already set: ":0"
localuser:root being added to access control list
+ docker run --runtime nvidia -it --rm --network host --shm-size=8g --volume /tmp/argus_socket:/tmp/argus_socket --volume /etc/enctune.conf:/etc/enctune.conf --volume /etc/nv_tegra_release:/etc/nv_tegra_release --volume /tmp/nv_jetson_model:/tmp/nv_jetson_model --volume /var/run/dbus:/var/run/dbus --volume /var/run/avahi-daemon/socket:/var/run/avahi-daemon/socket --volume /var/run/docker.sock:/var/run/docker.sock --volume /home/lcmo/jetson-containers/data:/data -v /etc/localtime:/etc/localtime:ro -v /etc/timezone:/etc/timezone:ro --device /dev/snd -e PULSE_SERVER=unix:/run/user/1000/pulse/native -v /run/user/1000/pulse:/run/user/1000/pulse --device /dev/bus/usb -e DISPLAY=:0 -v /tmp/.X11-unix/:/tmp/.X11-unix -v /tmp/.docker.xauth:/tmp/.docker.xauth -e XAUTHORITY=/tmp/.docker.xauth --device /dev/video0 --device /dev/i2c-0 --device /dev/i2c-1 --device /dev/i2c-2 --device /dev/i2c-4 --device /dev/i2c-5 --device /dev/i2c-7 --device /dev/i2c-9 --name jetson_container_20250204_161554 dustynv/nano_llm:r36.4.0 python3 -m nano_llm.agents.video_query --api=mlc --model Efficient-Large-Model/VILA1.5-3b --max-context-len 256 --max-new-tokens 32 --video-input --video-output webrtc://@:8554/output --vision-api=hf
/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py:124: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
  warnings.warn(
usage: video_query.py [-h] [--model MODEL] [--quantization QUANTIZATION]
                      [--api {auto_gptq,awq,hf,mlc}]
                      [--vision-api {auto,hf,trt}]
                      [--vision-model VISION_MODEL]
                      [--vision-scaling {crop,resize}] [--prompt [PROMPT ...]]
                      [--save-mermaid SAVE_MERMAID]
                      [--chat-template {llama-2,llama-3,llama-3.1,tiny-llama,sheared-llama,open-llama,vicuna-v0,vicuna-v1,chat-ml,chat-ml-tools,nous-obsidian,stablelm-zephyr,phi-2-chat,phi-2-instruct,gemma,bunny,openvla,llava-v0,llava-v1,llava-llama-2}]
                      [--system-prompt SYSTEM_PROMPT]
                      [--wrap-tokens WRAP_TOKENS]
                      [--max-context-len MAX_CONTEXT_LEN]
                      [--max-new-tokens MAX_NEW_TOKENS]
                      [--min-new-tokens MIN_NEW_TOKENS] [--do-sample]
                      [--temperature TEMPERATURE] [--top-p TOP_P]
                      [--repetition-penalty REPETITION_PENALTY]
                      [--video-input VIDEO_INPUT]
                      [--video-input-width VIDEO_INPUT_WIDTH]
                      [--video-input-height VIDEO_INPUT_HEIGHT]
                      [--video-input-codec {h264,h265,vp8,vp9,mjpeg}]
                      [--video-input-framerate VIDEO_INPUT_FRAMERATE]
                      [--video-input-save VIDEO_INPUT_SAVE]
                      [--video-output VIDEO_OUTPUT]
                      [--video-output-codec {h264,h265,vp8,vp9,mjpeg}]
                      [--video-output-bitrate VIDEO_OUTPUT_BITRATE]
                      [--video-output-save VIDEO_OUTPUT_SAVE]
                      [--nanodb NANODB] [--nanodb-model NANODB_MODEL]
                      [--nanodb-reserve NANODB_RESERVE] [--web-host WEB_HOST]
                      [--web-port WEB_PORT] [--ws-port WS_PORT]
                      [--ssl-key SSL_KEY] [--ssl-cert SSL_CERT]
                      [--upload-dir UPLOAD_DIR] [--web-trace]
                      [--web-title WEB_TITLE]
                      [--log-level {debug,info,warning,error,critical}]
                      [--debug]
video_query.py: error: argument --video-input: expected one argument
4

Hi all,

I have googled a lot and found that I may need to do something since I am using a CSI camera.

I found something useful here: LeRobot - NVIDIA Jetson AI Lab
I run the command:

sudo apt update && sudo apt install v4l2loopback-dkms v4l-utils

Then, I change --video-input /dev/video0 \ to --video-input /dev/video1 \
The whole commands:

jetson-containers run $(autotag nano_llm) \
  python3 -m nano_llm.agents.video_query --api=mlc \
    --model Efficient-Large-Model/VILA1.5-3b \
    --max-context-len 256 \
    --max-new-tokens 32 \
    --video-input /dev/video1 \
    --video-output webrtc://@:8554/output \
    --vision-api=hf

This is working.

But I try to visit https://<IP_ADDRESS>:8050, I can see the webui but the live video is missing. Can I solve this problem on Orin Nano? Thanks!!

5

Hi,

Do your try https://127.0.0.1:8050?
Or your device ip address

Thanks

6

Hi,

I try to visit https://127.0.0.1:8050 in the Jetson Orin Nano, the live video is not played.
Screencap:

Screenshot 2025-02-04 at 18-18-53 LIVE LLAVA
Screenshot 2025-02-04 at 18-18-53 LIVE LLAVA1299×764 34.4 KB

I also try to visit https://<MY_IP_ADDRESS>:8050 in my PC via the same network, but it crashed and gave me this logs:

18:14:37 | INFO | refresh rate:  1.24 FPS (808.0 ms)
A man is taking a selfie in a room.18:14:37 | INFO | 10.0.50.203 - - [04/Feb/2025 18:14:37] "GET / HTTP/1.1" 200 -

18:14:37 | INFO | refresh rate:  1.17 FPS (855.0 ms)
A man is18:14:38 | INFO | 10.0.50.203 - - [04/Feb/2025 18:14:38] "GET /static/chat.css HTTP/1.1" 200 -
 taking18:14:38 | INFO | 10.0.50.203 - - [04/Feb/2025 18:14:38] "GET /static/bootstrap.css HTTP/1.1" 200 -
18:14:38 | INFO | 10.0.50.203 - - [04/Feb/2025 18:14:38] "GET /static/select2.min.css HTTP/1.1" 200 -
 a18:14:38 | INFO | 10.0.50.203 - - [04/Feb/2025 18:14:38] "GET /static/webrtc.js HTTP/1.1" 200 -
 self18:14:38 | INFO | 10.0.50.203 - - [04/Feb/2025 18:14:38] "GET /static/rest.js HTTP/1.1" 200 -
ie18:14:38 | INFO | 10.0.50.203 - - [04/Feb/2025 18:14:38] "GET /static/debounce.js HTTP/1.1" 200 -
18:14:38 | INFO | 10.0.50.203 - - [04/Feb/2025 18:14:38] "GET /static/websocket.js HTTP/1.1" 200 -
 in18:14:38 | INFO | 10.0.50.203 - - [04/Feb/2025 18:14:38] "GET /static/jquery-3.6.3.min.js HTTP/1.1" 200 -
 a18:14:38 | INFO | 10.0.50.203 - - [04/Feb/2025 18:14:38] "GET /static/bootstrap.bundle.min.js HTTP/1.1" 200 -
18:14:38 | INFO | 10.0.50.203 - - [04/Feb/2025 18:14:38] "GET /static/select2.min.js HTTP/1.1" 200 -
 room.
18:14:38 | INFO | refresh rate:  1.16 FPS (863.7 ms)
18:14:38 | INFO | connection open
18:14:38 | INFO | new websocket connection from ('10.0.50.203', 51220)
18:14:38 | INFO | listening on websocket connection from ('10.0.50.203', 51220)
[webrtc] websocket /output -- new connection opened by 10.0.50.203 (peer_id=0)
[webrtc] new WebRTC peer connecting (10.0.50.203, peer_id=0)
**
ERROR:/opt/jetson-utils/codec/gstEncoder.cpp:876:static void gstEncoder::onWebsocketMessage(WebRTCPeer*, const char*, size_t, void*): 'sinkpad' should not be nullptr
Bail out! ERROR:/opt/jetson-utils/codec/gstEncoder.cpp:876:static void gstEncoder::onWebsocketMessage(WebRTCPeer*, const char*, size_t, void*): 'sinkpad' should not be nullptr
Fatal Python error: Aborted

Thread 0x0000fffdda74f120 (most recent call first):
  File "/usr/lib/python3.10/ssl.py", line 1161 in read
  File "/usr/lib/python3.10/ssl.py", line 1288 in recv
  File "/usr/local/lib/python3.10/dist-packages/websockets/sync/connection.py", line 561 in recv_events
  File "/usr/local/lib/python3.10/dist-packages/websockets/sync/server.py", line 196 in recv_events
  File "/usr/lib/python3.10/threading.py", line 953 in run
  File "/usr/lib/python3.10/threading.py", line 1016 in _bootstrap_inner
  File "/usr/lib/python3.10/threading.py", line 973 in _bootstrap

Thread 0x0000fffddb76f120 (most recent call first):
  File "/usr/lib/python3.10/threading.py", line 320 in wait
  File "/usr/lib/python3.10/threading.py", line 607 in wait
  File "/usr/local/lib/python3.10/dist-packages/websockets/sync/messages.py", line 96 in get
  File "/usr/local/lib/python3.10/dist-packages/websockets/sync/connection.py", line 207 in recv
  File "/opt/NanoLLM/nano_llm/web/server.py", line 335 in websocket_listener
  File "/opt/NanoLLM/nano_llm/web/server.py", line 314 in on_websocket
  File "/usr/local/lib/python3.10/dist-packages/websockets/sync/server.py", line 575 in conn_handler
  File "/usr/lib/python3.10/threading.py", line 953 in run
  File "/usr/lib/python3.10/threading.py", line 1016 in _bootstrap_inner
  File "/usr/lib/python3.10/threading.py", line 973 in _bootstrap

Thread 0x0000ffff2c32f120 (most recent call first):
  File "/usr/lib/python3.10/selectors.py", line 416 in select
  File "/usr/lib/python3.10/socketserver.py", line 232 in serve_forever
  File "/usr/local/lib/python3.10/dist-packages/werkzeug/serving.py", line 817 in serve_forever
  File "/usr/local/lib/python3.10/dist-packages/werkzeug/serving.py", line 1123 in run_simple
  File "/usr/local/lib/python3.10/dist-packages/flask/app.py", line 625 in run
  File "/opt/NanoLLM/nano_llm/web/server.py", line 120 in <lambda>
  File "/usr/lib/python3.10/threading.py", line 953 in run
  File "/usr/lib/python3.10/threading.py", line 1016 in _bootstrap_inner
  File "/usr/lib/python3.10/threading.py", line 973 in _bootstrap

Thread 0x0000ffff2d34f120 (most recent call first):
  File "/usr/lib/python3.10/selectors.py", line 469 in select
  File "/usr/local/lib/python3.10/dist-packages/websockets/sync/server.py", line 260 in serve_forever
  File "/opt/NanoLLM/nano_llm/web/server.py", line 119 in <lambda>
  File "/usr/lib/python3.10/threading.py", line 953 in run
  File "/usr/lib/python3.10/threading.py", line 1016 in _bootstrap_inner
  File "/usr/lib/python3.10/threading.py", line 973 in _bootstrap

Thread 0x0000ffff3b3cf120 (most recent call first):
  File "/opt/NanoLLM/nano_llm/plugins/video/video_source.py", line 109 in capture
  File "/opt/NanoLLM/nano_llm/plugins/video/video_source.py", line 159 in run
  File "/usr/lib/python3.10/threading.py", line 1016 in _bootstrap_inner
  File "/usr/lib/python3.10/threading.py", line 973 in _bootstrap

Thread 0x0000ffff38bbf120 (most recent call first):
  File "/opt/NanoLLM/nano_llm/agents/video_query.py", line 313 in poll_keyboard
  File "/usr/lib/python3.10/threading.py", line 953 in run
  File "/usr/lib/python3.10/threading.py", line 1016 in _bootstrap_inner
  File "/usr/lib/python3.10/threading.py", line 973 in _bootstrap

Thread 0x0000ffff363af120 (most recent call first):
  File "/usr/lib/python3.10/threading.py", line 324 in wait
  File "/usr/lib/python3.10/threading.py", line 607 in wait
  File "/opt/NanoLLM/nano_llm/plugin.py", line 335 in process_inputs
  File "/opt/NanoLLM/nano_llm/plugin.py", line 321 in run
  File "/usr/lib/python3.10/threading.py", line 1016 in _bootstrap_inner
  File "/usr/lib/python3.10/threading.py", line 973 in _bootstrap

Thread 0x0000fffe277ef120 (most recent call first):
  File "/usr/lib/python3.10/threading.py", line 324 in wait
  File "/usr/lib/python3.10/threading.py", line 607 in wait
  File "/opt/NanoLLM/nano_llm/plugin.py", line 335 in process_inputs
  File "/opt/NanoLLM/nano_llm/plugin.py", line 321 in run
  File "/usr/lib/python3.10/threading.py", line 1016 in _bootstrap_inner
  File "/usr/lib/python3.10/threading.py", line 973 in _bootstrap

Thread 0x0000fffe27fff120 (most recent call first):
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/functional.py", line 2576 in layer_norm
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/normalization.py", line 202 in forward
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1562 in _call_impl
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1553 in _wrapped_call_impl
  File "/usr/local/lib/python3.10/dist-packages/transformers/models/siglip/modeling_siglip.py", line 439 in forward
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1562 in _call_impl
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1553 in _wrapped_call_impl
  File "/usr/local/lib/python3.10/dist-packages/transformers/models/siglip/modeling_siglip.py", line 671 in forward
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1562 in _call_impl
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1553 in _wrapped_call_impl
  File "/usr/local/lib/python3.10/dist-packages/transformers/models/siglip/modeling_siglip.py", line 858 in forward
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1562 in _call_impl
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1553 in _wrapped_call_impl
  File "/usr/local/lib/python3.10/dist-packages/transformers/models/siglip/modeling_siglip.py", line 957 in forward
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1562 in _call_impl
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1553 in _wrapped_call_impl
  File "/opt/clip_trt/clip_trt/vision.py", line 115 in forward
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1562 in _call_impl
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1553 in _wrapped_call_impl
  File "/opt/clip_trt/clip_trt/vision.py", line 218 in embed_image
  File "/opt/clip_trt/clip_trt/vision.py", line 246 in __call__
  File "/opt/NanoLLM/nano_llm/nano_llm.py", line 267 in embed_image
  File "/opt/NanoLLM/nano_llm/chat/message.py", line 256 in _embed_image
  File "/opt/NanoLLM/nano_llm/chat/message.py", line 215 in embed
  File "/opt/NanoLLM/nano_llm/chat/history.py", line 369 in embed_chat
  File "/opt/NanoLLM/nano_llm/plugins/chat_query.py", line 189 in process
  File "/opt/NanoLLM/nano_llm/plugins/chat_query.py", line 152 in process
  File "/opt/NanoLLM/nano_llm/plugin.py", line 361 in dispatch
  File "/opt/NanoLLM/nano_llm/plugin.py", line 348 in process_inputs
  File "/opt/NanoLLM/nano_llm/plugin.py", line 321 in run
  File "/usr/lib/python3.10/threading.py", line 1016 in _bootstrap_inner
  File "/usr/lib/python3.10/threading.py", line 973 in _bootstrap

Thread 0x0000fffe6cdff120 (most recent call first):
  File "/usr/lib/python3.10/threading.py", line 320 in wait
  File "/usr/lib/python3.10/queue.py", line 171 in get
  File "/opt/NanoLLM/nano_llm/models/mlc.py", line 537 in _run
  File "/usr/lib/python3.10/threading.py", line 953 in run
  File "/usr/lib/python3.10/threading.py", line 1016 in _bootstrap_inner
  File "/usr/lib/python3.10/threading.py", line 973 in _bootstrap

Thread 0x0000fffee17af120 (most recent call first):
  File "/usr/lib/python3.10/threading.py", line 324 in wait
  File "/usr/lib/python3.10/threading.py", line 607 in wait
  File "/usr/local/lib/python3.10/dist-packages/tqdm/_monitor.py", line 60 in run
  File "/usr/lib/python3.10/threading.py", line 1016 in _bootstrap_inner
  File "/usr/lib/python3.10/threading.py", line 973 in _bootstrap

Thread 0x0000ffff90dc96c0 (most recent call first):
  File "/usr/lib/python3.10/threading.py", line 1116 in _wait_for_tstate_lock
  File "/usr/lib/python3.10/threading.py", line 1096 in join
  File "/opt/NanoLLM/nano_llm/agent.py", line 58 in run
  File "/opt/NanoLLM/nano_llm/agents/video_query.py", line 357 in <module>
  File "/usr/lib/python3.10/runpy.py", line 86 in _run_code
  File "/usr/lib/python3.10/runpy.py", line 196 in _run_module_as_main

Extension modules: numpy.core._multiarray_umath, numpy.core._multiarray_tests, numpy.linalg._umath_linalg, numpy.fft._pocketfft_internal, numpy.random._common, numpy.random.bit_generator, numpy.random._bounded_integers, numpy.random._mt19937, numpy.random.mtrand, numpy.random._philox, numpy.random._pcg64, numpy.random._sfc64, numpy.random._generator, torch._C, torch._C._fft, torch._C._linalg, torch._C._nested, torch._C._nn, torch._C._sparse, torch._C._special, zstandard.backend_c, charset_normalizer.md, yaml._yaml, sentencepiece._sentencepiece, psutil._psutil_linux, psutil._psutil_posix, PIL._imaging, PIL._imagingft, google.protobuf.pyext._message, jetson_utils_python, cuda._lib.utils, cuda._cuda.ccuda, cuda.ccuda, cuda.cuda, cuda._cuda.cnvrtc, cuda.cnvrtc, cuda.nvrtc, cuda._lib.ccudart.utils, cuda._lib.ccudart.ccudart, cuda.ccudart, cuda.cudart, _cffi_backend, pyaudio._portaudio, markupsafe._speedups, websockets.speedups, regex._regex, scipy._lib._ccallback_c, numba.core.typeconv._typeconv, numba._helperlib, numba._dynfunc, numba._dispatcher, numba.core.runtime._nrt_python, numba.np.ufunc._internal, numba.experimental.jitclass._box, h5py._errors, h5py.defs, h5py._objects, h5py.h5, h5py.utils, h5py.h5t, h5py.h5s, h5py.h5ac, h5py.h5p, h5py.h5r, h5py._proxy, h5py._conv, h5py.h5z, h5py.h5a, h5py.h5d, h5py.h5ds, h5py.h5g, h5py.h5i, h5py.h5f, h5py.h5fd, h5py.h5pl, h5py.h5o, h5py.h5l, h5py._selector, scipy.sparse._sparsetools, _csparsetools, scipy.sparse._csparsetools, scipy.linalg._fblas, scipy.linalg._flapack, scipy.linalg.cython_lapack, scipy.linalg._cythonized_array_utils, scipy.linalg._solve_toeplitz, scipy.linalg._flinalg, scipy.linalg._decomp_lu_cython, scipy.linalg._matfuncs_sqrtm_triu, scipy.linalg.cython_blas, scipy.linalg._matfuncs_expm, scipy.linalg._decomp_update, scipy.sparse.linalg._dsolve._superlu, scipy.sparse.linalg._eigen.arpack._arpack, scipy.sparse.csgraph._tools, scipy.sparse.csgraph._shortest_path, scipy.sparse.csgraph._traversal, scipy.sparse.csgraph._min_spanning_tree, scipy.sparse.csgraph._flow, scipy.sparse.csgraph._matching, scipy.sparse.csgraph._reordering, pyarrow.lib, pandas._libs.tslibs.ccalendar, pandas._libs.tslibs.np_datetime, pandas._libs.tslibs.dtypes, pandas._libs.tslibs.base, pandas._libs.tslibs.nattype, pandas._libs.tslibs.timezones, pandas._libs.tslibs.fields, pandas._libs.tslibs.timedeltas, pandas._libs.tslibs.tzconversion, pandas._libs.tslibs.timestamps, pandas._libs.properties, pandas._libs.tslibs.offsets, pandas._libs.tslibs.strptime, pandas._libs.tslibs.parsing, pandas._libs.tslibs.conversion, pandas._libs.tslibs.period, pandas._libs.tslibs.vectorized, pandas._libs.ops_dispatch, pandas._libs.missing, pandas._libs.hashtable, pandas._libs.algos, pandas._libs.interval, pandas._libs.lib, pyarrow._compute, pandas._libs.ops, numexpr.interpreter, pandas._libs.hashing, pandas._libs.arrays, pandas._libs.tslib, pandas._libs.sparse, pandas._libs.internals, pandas._libs.indexing, pandas._libs.index, pandas._libs.writers, pandas._libs.join, pandas._libs.window.aggregations, pandas._libs.window.indexers, pandas._libs.reshape, pandas._libs.groupby, pandas._libs.json, pandas._libs.parsers, pandas._libs.testing, tvm._ffi._cy3.core (total: 145)

Thanks

7

Hi,

Do you disable chrome://flags#enable-webrtc-hide-local-ips-with-mdns ?

Thanks