Auto Segmentation error in 'brats_segmentation_v0.3.3' model

Describe the bug
[2022-11-22 10:24:37,281] [19036] [MainThread] [ERROR] (uvicorn.error:119) - Traceback (most recent call last):
File "C:\Users\AA\AppData\Local\Programs\Python\Python39\lib\site-packages\starlette\routing.py", line 635, in lifespan
async with self.lifespan_context(app):
File "C:\Users\AA\AppData\Local\Programs\Python\Python39\lib\site-packages\starlette\routing.py", line 530, in aenter
await self.router.startup()
File "C:\Users\AA\AppData\Local\Programs\Python\Python39\lib\site-packages\starlette\routing.py", line 612, in startup
await handler()
File "C:\Users\AA\AppData\Local\Programs\Python\Python39\lib\site-packages\monailabel\app.py", line 106, in startup_event
instance = app_instance()
File "C:\Users\AA\AppData\Local\Programs\Python\Python39\lib\site-packages\monailabel\interfaces\utils\app.py", line 51, in app_instance
app = c(app_dir=app_dir, studies=studies, conf=conf)
File "C:\Users\AA\apps\monaibundle\main.py", line 90, in init
super().init(
File "C:\Users\AA\AppData\Local\Programs\Python\Python39\lib\site-packages\monailabel\interfaces\app.py", line 96, in init
self.trainers = self.init_trainers() if settings.MONAI_LABEL_TASKS_TRAIN else {}
File "C:\Users\AA\apps\monaibundle\main.py", line 116, in init_trainers
t = BundleTrainTask(b, self.conf)
File "C:\Users\AA\AppData\Local\Programs\Python\Python39\lib\site-packages\monailabel\tasks\train\bundle.py", line 83, in init
self.bundle_config.read_config(self.bundle_config_path)
File "C:\Users\AA\AppData\Local\Programs\Python\Python39\lib\site-packages\monai\bundle\config_parser.py", line 300, in read_config
content.update(self.load_config_files(f, **kwargs))
File "C:\Users\AA\AppData\Local\Programs\Python\Python39\lib\site-packages\monai\bundle\config_parser.py", line 403, in load_config_files
for k, v in (cls.load_config_file(i, **kwargs)).items():
File "C:\Users\AA\AppData\Local\Programs\Python\Python39\lib\site-packages\monai\bundle\config_parser.py", line 382, in load_config_file
return json.load(f, **kwargs)
File "C:\Users\AA\AppData\Local\Programs\Python\Python39\lib\json_init.py", line 293, in load
return loads(fp.read(),
File "C:\Users\AA\AppData\Local\Programs\Python\Python39\lib\json_init.py", line 346, in loads
return _default_decoder.decode(s)
File "C:\Users\AA\AppData\Local\Programs\Python\Python39\lib\json\decoder.py", line 337, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
File "C:\Users\AA\AppData\Local\Programs\Python\Python39\lib\json\decoder.py", line 353, in raw_decode
obj, end = self.scan_once(s, idx)
json.decoder.JSONDecodeError: Expecting ',' delimiter: line 63 column 43 (char 1947)

[2022-11-22 10:24:37,282] [19036] [MainThread] [ERROR] (uvicorn.error:56) - Application startup failed. Exiting.

To Reproduce
Steps to reproduce the behavior:

1. 'in_channel' value edited 4 into 1 and added 'ensure_channel_first": ture in inference.json

   • edited inference.json code
     "target": "SegResNet",
     "blocks_down": [
     1,
     2,
     2,
     4
     ],
     "blocks_up": [
     1,
     1,
     1
     ],
     "init_filters": 16,
     "in_channels": 1,
     "out_channels": 3,
     "dropout_prob": 0.2
     },
     "network": "$@network_def.to(@device)",
     "preprocessing": {
     "target": "Compose",
     "transforms": [
     {
     "target": "LoadImaged",
     "keys": "image",
     "ensure_channel_first": true
     },

2. 'in_channel' value edited 4 into 1 and added 'ensure_channel_first": ture in train.json

   • edited train.json code
     "target": "SegResNet",
     "blocks_down": [
     1,
     2,
     2,
     4
     ],
     "blocks_up": [
     1,
     1,
     1
     ],
     "init_filters": 16,
     "in_channels": 1,
     "out_channels": 3,
     "dropout_prob": 0.2
     },
     .
     .
     .
     "train": {
     "preprocessing_transforms": [
     {
     "target": "LoadImaged",
     "keys": [
     "image",
     "label",
     "ensure_channel_first": true
     ]
     },

3. '("inputs" :) num_channel' value edits 4 into 1 train.json

   • edited metadata.json code
     "intended_use": "This is an example, not to be used for diagnostic purposes",
     "references": [
     "Myronenko, Andriy. '3D MRI brain tumor segmentation using autoencoder regularization.' International MICCAI Brainlesion Workshop. Springer, Cham, 2018. https://arxiv.org/abs/1810.11654"
     ],
     "network_data_format": {
     "inputs": {
     "image": {
     "type": "image",
     "format": "magnitude",
     "modality": "MR",
     "num_channels": 1,
     "spatial_shape": [
     "8n",
     "8n",
     "8*n"
     ],

Expected behavior
I can expect result when I press 'run' button in Auto Segmentation option, after I edited and added inference.json, train.josn and metadata.json.

Screenshots
But I can't extract brain tumor as following figure.

Environment

Printing MONAI config...

MONAI version: 1.0.1
Numpy version: 1.23.4
Pytorch version: 1.12.1+cu113
MONAI flags: HAS_EXT = False, USE_COMPILED = False, USE_META_DICT = False
MONAI rev id: 8271a193229fe4437026185e218d5b06f7c8ce69
MONAI file: C:\Users\TRL 3D\AppData\Local\Programs\Python\Python39\lib\site-packages\monai_init_.py

Optional dependencies:
Pytorch Ignite version: 0.4.10
Nibabel version: 4.0.2
scikit-image version: 0.19.3
Pillow version: 9.3.0
Tensorboard version: 2.10.1
gdown version: 4.5.3
TorchVision version: 0.13.1+cu113
tqdm version: 4.64.1
lmdb version: 1.3.0
psutil version: 5.9.4
pandas version: 1.5.1
einops version: 0.6.0
transformers version: 4.24.0
mlflow version: 2.0.1
pynrrd version: 0.4.3

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: Windows
Win32 version: ('10', '10.0.22000', 'SP0', 'Multiprocessor Free')
Win32 edition: Core
Platform: Windows-10-10.0.22000-SP0
Processor: AMD64 Family 25 Model 80 Stepping 0, AuthenticAMD
Machine: AMD64
Python version: 3.9.13
Process name: python.exe
Command: ['C:\Users\TRL 3D\AppData\Local\Programs\Python\Python39\python.exe', '-c', 'import monai; monai.config.print_debug_info()']
Open files: [popenfile(path='C:\Program Files\WindowsApps\Microsoft.LanguageExperiencePackko-KR_22000.29.134.0_neutral__8wekyb3d8bbwe\Windows\System32\ko-KR\39386f74d1967f5c37a5b4171f81c8f3\kernel32.dll.mui', fd=-1), popenfile(path='C:\Program Files\WindowsApps\Microsoft.LanguageExperiencePackko-KR_22000.29.134.0_neutral__8wekyb3d8bbwe\Windows\System32\ko-KR\fe441ef3ed396a241e46f9f354057863\tzres.dll.mui', fd=-1), popenfile(path='C:\Program Files\WindowsApps\Microsoft.LanguageExperiencePackko-KR_22000.29.134.0_neutral__8wekyb3d8bbwe\Windows\System32\ko-KR\a7c1941e6709c10ab525083b61805316\KernelBase.dll.mui', fd=-1)]
Num physical CPUs: 8
Num logical CPUs: 16
Num usable CPUs: 16
CPU usage (%): [10.3, 9.4, 6.9, 3.8, 4.4, 0.6, 1.9, 2.2, 6.6, 15.2, 7.8, 3.2, 2.2, 0.9, 6.0, 41.1]
CPU freq. (MHz): 3301
Load avg. in last 1, 5, 15 mins (%): [0.0, 0.0, 0.0]
Disk usage (%): 60.3
Avg. sensor temp. (Celsius): UNKNOWN for given OS
Total physical memory (GB): 15.4
Available memory (GB): 7.1
Used memory (GB): 8.3

================================
Printing GPU config...

Num GPUs: 1
Has CUDA: True
CUDA version: 11.3
cuDNN enabled: True
cuDNN version: 8302
Current device: 0
Library compiled for CUDA architectures: ['sm_37', 'sm_50', 'sm_60', 'sm_61', 'sm_70', 'sm_75', 'sm_80', 'sm_86', 'compute_37']
GPU 0 Name: NVIDIA GeForce RTX 3070 Laptop GPU
GPU 0 Is integrated: False
GPU 0 Is multi GPU board: False
GPU 0 Multi processor count: 40
GPU 0 Total memory (GB): 8.0
GPU 0 CUDA capability (maj.min): 8.6

Start by validating the edited inference.json, train.json, and metadata.json files against the JSONDecodeError location, then review the Auto Segmentation startup path shown in the traceback. Confirm what configuration changes are supported for brats_segmentation_v0.3.3; done means the application starts successfully and the Auto Segmentation run produces the expected tumor output.