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List of things we want to include

TODOs

  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

  6. Additional requirements and instructions

    1. Azure

    2. SUNNY

    3. NFS Locker Access

1. Download Batch

Description of this step

code snippet here

2. Color Profiling

Description of step

2.1 Sub heading step

Backlog Spreadsheet:

Common & Useful Commands

Available batches:

ls /mnt/research-projects/s/screberg/longterm_images2/semifield-upload/ -lh

# of images in batch:

ls /mnt/research-projects/s/screberg/longterm_images2/semifield-upload/<batch>/*.ARW | wc -l

# of jpgs processed:

ls /mnt/research-projects/s/screberg/longterm_images2/semifield-developed-images/<batch>/images/*.jpg | wc -l

# of pp3 files created:

ls /mnt/research-projects/s/screberg/longterm_images2/semifield-developed-images/<batch>/images/*.pp3 | wc -l

Blob Analyzer

Installing conda (miniconda) 

Use these commands below from the command line in the SUNNY server:

  1. mkdir -p ~/miniconda3

  2. wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda3/miniconda.sh

  3. bash ~/miniconda3/miniconda.sh -b -u -p ~/miniconda3

  4. rm ~/miniconda3/miniconda.sh

  5. ~/miniconda3/bin/conda init bash

  6. Close the remote connection then ssh back in

Setting up a conda environment

Still in the command line inside of SUNNY:

  1. conda create -n <your env name> python=3.10

  2. conda activate <your env name>

  3. cd /home/psa_images/analyze_blobs

  4. pip install -r requirements.txt

Running the code 

Your conda environment must be activated to run the code. Run these in the command line.

  1. conda activate <your env name>

  2. cd /home/psa_images/analyze_blobs

  3. python ANALYZE_BLOB.py

    1. Creates 2 time stamped files in the “results” folder in the main project directory. 

      1. A text files that provides a general summary of missing batches

      2. A csv file that can be viewed in excel or google docs

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