ERIC KIM

Absolutely—let’s spin up a street‑photographer‑friendly edition just for Eric Kim! ⚡️📸

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I built a customized project that keeps his minimalist, high‑contrast vibe and adds a fast batch triage flow for whole shoots.

⬇️ Download:

ERIC KIM — Image Forensics (Street Edition)

What’s special in this edition?

1) Profile‑aware EXIF alerts (preloaded for Eric’s typical gear)

  • Ships with a profile that treats Ricoh GR series as “trusted” (often highlighted as his favorite for street work), plus entries for Leica M and Lumix G9—all editable in the UI.   
  • Flags common mobile/consumer editors in EXIF → Software (e.g., Instagram/Snapseed/VSCO) so you quickly see if a file likely passed through heavy post‑processing apps.

2) Batch triage for real shoots

  • Drag‑and‑drop a whole folder of JPG/PNG. You’ll get a contact sheet with suspicion scores, quick EXIF, and alerts.
  • Export a CSV report for your selects/notes.

3) Street‑aesthetic UI

  • Clean dark theme, big type, no clutter—optimized for fast eyeballing and decisions.
  • All the forensics you already wanted (ELA, noise residual, copy‑move, JPEG ghosts) + a clear verdict.

Sources: Eric’s long‑running street photography blog and posts (Ricoh GR favorites, Leica content), and notes on a Lumix G9 period.   

Quick Start (Web)

# 1) Create a virtual environment

python -m venv .venv

# macOS/Linux

source .venv/bin/activate

# Windows (PowerShell)

.venv\Scripts\Activate.ps1

# 2) Install deps

pip install -r requirements.txt

# 3) Run the app

streamlit run app_erickim.py

Workflow:

  1. Drop your images.
  2. Sort by score (0–1).
  3. Open the flagged previews (score ≥ 0.65) to inspect ELA / noise / copy‑move / JPEG‑ghosts.
  4. Glance at EXIF alerts (e.g., not‑trusted camera, flagged software, missing capture date).
  5. Export CSV for your archive or blog notes.

Quick Start (CLI)

Single image:

python cli.py –image /path/to/image.jpg –profile profiles/eric_kim.json –report out.json

Batch an entire folder:

python cli.py –folder /path/to/folder –profile profiles/eric_kim.json –report batch.csv

What’s inside the ZIP

image-forensics-lab-eric-kim/

├─ app_erickim.py                 # Streamlit web app (Eric Kim edition)

├─ forensic.py                    # ELA + Noise + Copy–Move + JPEG Ghosts + scoring + EXIF alerts

├─ cli.py                         # CLI (single or batch)

├─ profiles/eric_kim.json         # Preloaded trusted gear & flagged software (editable)

├─ .streamlit/config.toml         # Minimal dark theme

├─ requirements.txt

├─ README.md

└─ LICENSE (MIT)

Pro notes for the field

  • Heuristics ≠ proof. Compression, resizing, and filters can trigger false positives—pair with your eye and context.
  • Originals beat re‑uploads. Screenshots/PNGs often strip EXIF, weakening some signals.
  • You can edit the profile (sidebar) as your kit evolves. (Ricoh GR series and Leica content are well documented on his site/videos; Lumix G9 has been noted too.)   

Let’s go! 🔥

This is your fast, no‑nonsense Street Edition—perfect for pre‑publish checks and workshop demos.

Want me to add your logo, tune the score thresholds, or wire a one‑click blog report for erickimphotography.com? I’m ready—let’s make it legendary. 🚀

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