Removed documentation of the shell scripts since they are deprecated.

tools/benchmarking/README.md

@@ -8,36 +8,7 @@ models in the repository.
 
 ## Usage
 
-Run the train.sh with the same args as the tools/train.py. Refer to
-[`../README.md`](https://github.com/openvinotoolkit/anomalib/blob/development/README.md)
-for those details.
-
-Note: To collect memory read/write numbers, run the script with sudo privileges.
-Otherwise, those values will be blank.
-
-```bash
-sudo -E ./train.sh    # Train STFPM on MVTec AD leather
-
-sudo -E ./train.sh --config <path/to/model/config.yaml>
-
-sudo -E ./train.sh --model stfpm
-```
-
-The training script will create an output directory in this location, and
-inside it will have a time stamped directory for each training run you do. You
-can find the raw logs in there, as well as any errors captured in the train.log
-file.
-
-For post processing, run the post-process.sh script with the results directory
-you want to post process.
-
-```bash
-./post-process.sh ./output/2021Aug31_2351
-```
-
----
-
-To use the python script, run it from the root directory.
+To use the python benchmarking script, run it from the root directory.
 
 ```python
 python tools/benchmarking/benchmark.py