Merge pull request #66 from databricks-industry-solutions/bugfix/read…

…me_setup

Readme & Setup

README.md

@@ -120,7 +120,7 @@ Once the server is running, you can use the OHIF Viewer to interact with your me
  - Customizable Workflows: Tailor the annotation process to fit specific research needs.
 
 ### Setup Instructions
-To execute the MONAILabel server is mandatory to use a cluster with Databruck Runtime Version of `14.3 LTS ML`. For the best performance use a [GPU-Enabled compute](https://docs.databricks.com/en/compute/gpu.html#gpu-enabled-compute).
+To execute the MONAILabel server is mandatory to use a cluster with Databricks Runtime Version of `14.3 LTS ML`. For the best performance use a [GPU-Enabled compute](https://docs.databricks.com/en/compute/gpu.html#gpu-enabled-compute).
 #### Start the MONAILabel server
  - Execute the [05-MONAILabel](/05-MONAILabel) inside a Databricks workspace.
  - Set `table` parameter with full name of you pixels catalog table. Ex: `main.pixels_solacc.object_catalog`

config/setup.py

@@ -6,7 +6,7 @@
 
 # COMMAND ----------
 
-# MAGIC %pip install --quiet pydicom==2.3.0 s3fs==2022.10.0 python-gdcm==3.0.19 python-magic==0.4.27 git+https://github.com/databricks-industry-solutions/pixels.git 
+# MAGIC %pip install --quiet pydicom==2.4.4 s3fs==2022.10.0 python-gdcm==3.0.19 python-magic==0.4.27 git+https://github.com/databricks-industry-solutions/pixels.git 
 
 # COMMAND ----------
 
@@ -27,7 +27,7 @@ def init_widgets():
   volume = dbutils.widgets.get("volume")
   write_mode = dbutils.widgets.get("mode")
 
-  spark.conf.set('c.table',table)
+  #spark.conf.set('c.table',table)
   #print(F"{path}, {table}, {write_mode}")
   return path,table,volume,write_mode