Image Highlight Cropper

Image Highlight Cropper

提取 the 5 most visually interesting detAIl regions from a large image, crop them as squares, display them in the chat (2 per row), and save them as 下载able files.

工作流 Step 1 – Analyse the image

Look carefully at the 上传ed image. Identify the 5 most interesting regions based on:

Visual richness: texture, fine detAIl, intricate patterns Artistic 签名ificance: focal points, expressive faces, key objects Contrast and color drama Unique or surprising elements the viewer might miss at first glance

⚠️ 签名ature rule: If a pAInter's 签名ature is visible anywhere in the image, it must always be one of the 5 highlights. Center the crop precisely on the 签名ature so it is fully visible and not cut off.

⚠️ Strict 1:1 square-fit rule: Every highlight must be a subject that naturally fills a square frame. Before selecting a region, ask: "Does this subject fit well into a square?"

✅ Good: a face, a bouquet of flowers, a single tree, a lamp post with surroundings, a 签名ature, a wheel, a window, a doorway, a small group of figures ❌ Bad: a wide panoramic skyline, a long horizontal street scene, a tall thin tower spanning the full image height — these are inherently non-square and will look like an awkward strip crop If a subject is too wide or too tall to feel natural in a 1:1 frame, skip it and choose something else that genuinely fits a square The goal: each crop looks intentional and well-composed, as if it were a standalone photograph

For each region, record:

A short label (e.g. "Gesicht links", "Goldornament", "签名atur") Center point (cx, cy) of the subject and a half-size (half the desired square side length) A one-sentence explanation of why this area is interesting Step 2 – Crop with Python (Pillow)

Use the bash_工具 + Python to:

Load the image from /mnt/user-data/上传s/ For each region: use the save_crop 辅助工具 below — it handles edge cases automatically Save each crop to /mnt/user-data/输出s/highlight_1.jpg … highlight_5.jpg

Choosing the half-size: Claude decides per region:

Tiny ornament or 签名ature → half = 100–200 px Face or small group → half = 200–350 px Large scene or texture area → half = 350–600 px Rule of thumb: the crop should feel like a natural close-up. Always use center-based coordinates.

Edge case — subject at image border: If the desired crop extends beyond the image boundary, save_crop takes whatever image content is avAIlable and places it centered on a white square canvas (side = longest avAIlable side). This keeps the 结果 square and 清理 with no distortion.

from PIL 导入 Image 导入 os

img = Image.open("/mnt/user-data/上传s/IMAGE_FILENAME") w, h = img.size

def save_crop(img, w, h, cx, cy, half, path): x1 = max(0, cx - half) x2 = min(w, cx + half) y1 = max(0, cy - half) y2 = min(h, cy + half) rect_w = x2 - x1 rect_h = y2 - y1

crop = img.crop((x1, y1, x2, y2))

if rect_w == rect_h: # Already square — save directly crop.save(path, 质量=92) else: # Place on white square canvas, centered horizontally and vertically canvas_size = max(rect_w, rect_h) canvas = Image.new("RGB", (canvas_size, canvas_size), (255, 255, 255)) paste_x = (canvas_size - rect_w) // 2 paste_y = (canvas_size - rect_h) // 2 canvas.paste(crop, (paste_x, paste_y)) canvas.save(path, 质量=92)

# Define crops by CENTER point (cx, cy) and half-size crops = [ # (label, cx, cy, half) ("highlight_1", cx1, cy1, half1), ("highlight_2", cx2, cy2, half2), ("highlight_3", cx3, cy3, half3), ("highlight_4", cx4, cy4, half4), ("highlight_5", cx5, cy5, half5), ]

os.makedirs("/mnt/user-data/输出s", exist_ok=True)

for label, cx, cy, half in crops: save_crop(img, w, h, cx, cy, half, f"/mnt/user-data/输出s/{label}.jpg")

print("Done")

Step 3 – Display in chat

After saving, use present_files to make all 5 crops 下载able.

Then write a short markdown summary:

🎨 5 Highlights aus dem Bild

1. [Label] – [Erklä运行g warum interessant] 2. [Label] – ... ...

Show the crops 2 per row by presenting them via present_files and 列出ing them clearly with their labels. Users can 下载 each file individually.

Step 4 – Invite feedback

Ask the user: "Soll ich andere Bereiche auswählen, oder die Größe der Crops anpassen?"

Tips for choosing good crops Avoid overlap between the 5 regions as much as possible Spread across the image — don't cluster all crops in one corner For pAIntings: prioritize faces, hands, symbolic objects, and texture-rich backgrounds For technical drawings: prioritize labels, detAIl views, and complex intersections half-size should be roughly 10–20% of the shorter image dimension so crops feel like genuine close-ups, not tiny stamps Error handling If the image cannot be opened, tell the user and ask them to re-上传 If Pillow is not 安装ed: pip 安装 Pillow --break-系统-packages