OHIF Viewer : Couldn't connect to Orthanc Server
See original GitHub issueDescribe the bug
I am trying to use OHIF viewer. When trying to run monailabel start_server --app apps\deepedit --studies http://127.0.0.1:8042/dicom-web
this URL , it pops up with a dialogbox to enter the username and password.
I tried some default username and password, but it doesn’t signed into the Orthanc Server.
To Reproduce Steps to reproduce the behavior: For this, I followed the below steps which was mentioned in the document.
- Installed Orthanc using apt-get install orthanc orthanc-dicomweb.
- Upgraded to latest version by following steps mentioned here
Now the orthanc server setup is completed.
- Run the command
monailabel start_server --app apps\deepedit --studies http://127.0.0.1:8042/dicom-web
Expected behavior
I expect that orthanc server should load without the authentication pop up.
Screenshots
Environment
================================
Printing MONAI config...
================================
MONAI version: 0.9.dev2149
Numpy version: 1.21.4
Pytorch version: 1.9.0+cu111
MONAI flags: HAS_EXT = False, USE_COMPILED = False
MONAI rev id: 1ad68787c35e259cb7704b56d679659104d2494c
Optional dependencies:
Pytorch Ignite version: 0.4.6
Nibabel version: 3.2.1
scikit-image version: 0.18.3
Pillow version: 8.4.0
Tensorboard version: 2.7.0
gdown version: 4.2.0
TorchVision version: 0.10.0+cu111
tqdm version: 4.62.3
lmdb version: 1.2.1
psutil version: 5.8.0
pandas version: NOT INSTALLED or UNKNOWN VERSION.
einops version: NOT INSTALLED or UNKNOWN VERSION.
transformers version: NOT INSTALLED or UNKNOWN VERSION.
mlflow version: NOT INSTALLED or UNKNOWN VERSION.
For details about installing the optional dependencies, please visit:
https://docs.monai.io/en/latest/installation.html#installing-the-recommended-dependencies
================================
Printing system config...
================================
System: Linux
Linux version: Ubuntu 20.04.3 LTS
Platform: Linux-4.15.0-136-generic-x86_64-with-glibc2.10
Processor: x86_64
Machine: x86_64
Python version: 3.8.10
Process name: python
Command: ['python', '-c', 'import monai; monai.config.print_debug_info()']
Open files: []
Num physical CPUs: 20
Num logical CPUs: 40
Num usable CPUs: 40
CPU usage (%): [10.3, 11.3, 11.3, 11.9, 9.5, 11.8, 100.0, 9.4, 12.6, 8.9, 11.3, 10.7, 10.1, 13.3, 13.2, 10.2, 10.7, 16.9, 9.6, 9.5, 11.5, 10.1, 11.3, 9.5, 11.9, 8.9, 9.4, 10.1, 16.9, 11.9, 9.5, 10.1, 10.7, 10.1, 10.1, 10.1, 10.7, 10.1, 10.3, 14.6]
CPU freq. (MHz): 1461
Load avg. in last 1, 5, 15 mins (%): [1.7, 2.8, 4.1]
Disk usage (%): 73.7
Avg. sensor temp. (Celsius): UNKNOWN for given OS
Total physical memory (GB): 251.8
Available memory (GB): 237.8
Used memory (GB): 12.8
================================
Printing GPU config...
================================
Num GPUs: 4
Has CUDA: True
CUDA version: 11.1
cuDNN enabled: True
cuDNN version: 8005
Current device: 0
Library compiled for CUDA architectures: ['sm_37', 'sm_50', 'sm_60', 'sm_70', 'sm_75', 'sm_80', 'sm_86']
GPU 0 Name: Tesla V100-DGXS-32GB
GPU 0 Is integrated: False
GPU 0 Is multi GPU board: False
GPU 0 Multi processor count: 80
GPU 0 Total memory (GB): 31.7
GPU 0 CUDA capability (maj.min): 7.0
GPU 1 Name: Tesla V100-DGXS-32GB
GPU 1 Is integrated: False
GPU 1 Is multi GPU board: False
GPU 1 Multi processor count: 80
GPU 1 Total memory (GB): 31.7
GPU 1 CUDA capability (maj.min): 7.0
GPU 2 Name: Tesla V100-DGXS-32GB
GPU 2 Is integrated: False
GPU 2 Is multi GPU board: False
GPU 2 Multi processor count: 80
GPU 2 Total memory (GB): 31.7
GPU 2 CUDA capability (maj.min): 7.0
GPU 3 Name: Tesla V100-DGXS-32GB
GPU 3 Is integrated: False
GPU 3 Is multi GPU board: False
GPU 3 Multi processor count: 80
GPU 3 Total memory (GB): 31.7
GPU 3 CUDA capability (maj.min): 7.0
Additional context I installed the orthanc in DGX docker container.
Any suggestion and help is appreciated. Thank you
Issue Analytics
- State:
- Created 2 years ago
- Comments:24
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Top GitHub Comments
Hi @Suchi97,
Once you redo the installation for Orthanc you might want to update a few fields in its configuration (
/etc/orthanc/orthanc.json
). To disable authentication you can setbut that’s not sufficient if your orthanc server isn’t on the same machine (or container) as the label server, s you’ll have to set
and make sure that
If you don’t want to disable authentication to Orthanc, you can setup your own user
Furthermore you will want to double check that your dicomweb module is enabled, and that the configuration file exists (e…g
/etc/orthanc/dicomweb.json
). If you have a dicomweb config likeyou should be able to check the URL: http://localhost:8042/dicom-web/app/client/index.html to see if your DICOMweb service is enabled and working.
As @SachidanandAlle explained you will have to set the args for username and password in version 0.2.0 or setup the env vars for 0.3.0.
You can also check whether things are working for you with dicomweb using