jobs/see.py

# /// script
# dependencies = [
#   "transformers>=4.49", "accelerate", "torch", "pillow", "qwen-vl-utils",
#   "numpy", "huggingface_hub", "hf-transfer",
# ]
# requires-python = ">=3.11,<3.13"
# ///
# Demo: Handicate identifies images AND learns a new concept on the fly.
#   hf jobs uv run -d --flavor a10g-large --timeout 30m --python 3.11 -s HF_TOKEN ./jobs/see.py
import os
os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "1"
import sys
from pathlib import Path

# pull the framework code (vision module lives in core/)
from huggingface_hub import snapshot_download
WORK = "/tmp/handicate"
snapshot_download("AmongTheCouch23/handicate-code", repo_type="dataset", local_dir=WORK)
sys.path.insert(0, WORK)

from PIL import Image, ImageDraw
from core.vision import VisionPerceiver, ConceptMemory


def make_img(path, kind):
    im = Image.new("RGB", (224, 224), "white")
    d = ImageDraw.Draw(im)
    if kind == "logo":      # a distinctive custom shape (two overlapping triangles)
        d.polygon([(112, 30), (40, 190), (184, 190)], fill=(200, 30, 60))
        d.polygon([(112, 190), (40, 30), (184, 30)], outline=(20, 20, 120), width=8)
    elif kind == "logo2":   # same logo, slightly shifted (a new sighting)
        d.polygon([(118, 36), (46, 196), (190, 196)], fill=(205, 35, 65))
        d.polygon([(118, 196), (46, 36), (190, 36)], outline=(25, 25, 125), width=8)
    else:                   # an unrelated image
        d.ellipse([60, 60, 164, 164], fill=(40, 160, 90))
    im.save(path)
    return path


a = make_img("/tmp/logo.png", "logo")
a2 = make_img("/tmp/logo2.png", "logo2")
other = make_img("/tmp/other.png", "blob")

vp = VisionPerceiver()
mem = ConceptMemory()

print("\n1) Identify an unknown image (VLM, no memory yet):")
print("   ->", vp.see(a, mem))

print("\n2) Teach it on the fly:")
print("   ->", vp.see(a, mem, label="Owner's Handicate crest"))

print("\n3) See a NEW sighting of the same thing -> recognized instantly from memory:")
print("   ->", vp.see(a2, mem))

print("\n4) An unrelated image is NOT falsely matched:")
print("   ->", vp.see(other, mem))

print("\n5) Plain VLM identification of the unrelated image:")
print("   ->", vp.identify(other))