Field Preprocessing

List of things we want to include

1. Adding steps about the tools and installing those tools ( rawtherapee, mobaxterm)

2. Steps in rawtherapee

3. Command line instructions

4. Pics or screenshots will be very helpful

   1. Provide video overview

5. Requirements

   1. How to get requirements

Backlog Spreadsheet:

1. Download Batch

When downloading a Field batch, we must be navigated to the correct location. We can use tis string of commands:

cd ..
cd psa _images/field_tools/
python3 field_SUNNY_pipeline.py <batch_name>

2. Color Profiling

Description of step

2.1 Sub heading step

3. Running the pipeline

When the color profile has been saved, we must send it through the pipeline. Be sure to be navigated to the Field folder and make a new screen, use uppercase r (-R). If returning to an already existing screen, use lowercase r (-r) with the appropriate screen name.

cd ..
cd psa_images/field_tools/
screen -R <batch_name>
python3 field_SUNNY_pipeline.py <batch_name>

To exit the screen, use CTRL+A D

Check on a batch sent into the pipeline by using this string of commands:

cd psa_images/field_tools/
screen -r <batch_name>

If the pipeline has either been completed running or there has been an error running it, there will be an input line. If there is no input line, the process has not completed.

To exit the screen, use CTRL+A D

Common & Useful Commands

Available batches:

ls /mnt/research-projects/r/raatwell/longterm_images3/field-batches/ -lh

# of arw:

ls /mnt/research-projects/s/screberg/longterm_images/field-batches/<batch>/*.ARW | wc -l

# of pp3 created:

ls /mnt/research-projects/r/raatwell/longterm_images3/field-batches/<batch>/developed-images/*.pp3 | wc -l

# of jpg files processed:

ls /mnt/research-projects/r/raatwell/longterm_images3/field-batches/<batch>/developed-images/*.jpg | wc -l