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Download scripts/generate_metadata_Task_Geometric.py from Obedience-Violin/Violin: direct link, hf CLI and curl.
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- Download file 4.69 kB
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https://huggingface.co/datasets/Obedience-Violin/Violin/resolve/main/scripts/generate_metadata_Task_Geometric.py
- Command line
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hf download hf://datasets/Obedience-Violin/Violin/scripts/generate_metadata_Task_Geometric.py
-
curl -L -o generate_metadata_Task_Geometric.py https://huggingface.co/datasets/Obedience-Violin/Violin/resolve/main/scripts/generate_metadata_Task_Geometric.py
4.69 kB
| import csv | |
| import os | |
| import math | |
| IMG_SIZE = 512 | |
| SHAPES = { | |
| "circle": ("circle", "diameter"), | |
| "square": ("axis-aligned square", "side length"), | |
| "equilateral triangle": ("upright equilateral triangle", "side length"), | |
| } | |
| SIZE_RATIOS = [0.2, 0.4, 0.6, 0.8, 1.0] | |
| # POSITIONS_DEFAULT = { | |
| # "left": "aligned with the left edge, vertically centered", | |
| # "top": "aligned with the top edge, horizontally centered", | |
| # "right": "aligned with the right edge, vertically centered", | |
| # "bottom": "aligned with the bottom edge, horizontally centered", | |
| # "center": "centered in the image", | |
| # } | |
| POSITIONS_DEFAULT = { | |
| "left": "with its bounding box aligned with the left edge, vertically centered", | |
| "top": "with its bounding box aligned with the top edge, horizontally centered", | |
| "right": "with its bounding box aligned with the right edge, vertically centered", | |
| "bottom": "with its bounding box aligned with the bottom edge, horizontally centered", | |
| "center": "with its bounding box centered in the image", | |
| } | |
| POSITIONS_TRIANGLE = { | |
| "left": "with its bounding box aligned with the left edge, vertically centered", | |
| "top": "with its bounding box aligned with the top edge, horizontally centered", | |
| "right": "with its bounding box aligned with the right edge, vertically centered", | |
| "bottom": "with its bounding box aligned with the bottom edge, horizontally centered", | |
| "center": "with its bounding box centered in the image", | |
| } | |
| def get_bounding_half(shape, size_ratio): | |
| """Return (half_w, half_h) of the shape's bounding box.""" | |
| side = size_ratio * IMG_SIZE | |
| if shape == "circle": | |
| r = side / 2 | |
| return r, r | |
| elif shape == "square": | |
| return side / 2, side / 2 | |
| elif shape == "equilateral triangle": | |
| h = side * math.sqrt(3) / 2 | |
| return side / 2, h / 2 | |
| def get_center(position, half_w, half_h): | |
| """Return (cx, cy) for the given position.""" | |
| mid = IMG_SIZE / 2 | |
| if position == "left": | |
| return half_w, mid | |
| elif position == "top": | |
| return mid, half_h | |
| elif position == "right": | |
| return IMG_SIZE - half_w, mid | |
| elif position == "bottom": | |
| return mid, IMG_SIZE - half_h | |
| elif position == "center": | |
| return mid, mid | |
| def is_out_of_bounds(cx, cy, half_w, half_h): | |
| return (cx - half_w < 0 or cx + half_w > IMG_SIZE or | |
| cy - half_h < 0 or cy + half_h > IMG_SIZE) | |
| def generate_metadata(prompt_file, output_file): | |
| with open(prompt_file, "r", encoding="utf-8") as f: | |
| prompts = list(csv.DictReader(f)) | |
| rows = [] | |
| id_counter = 1 | |
| skipped = 0 | |
| for prompt in prompts: | |
| prompt_text = prompt["prompt"] | |
| for shape_key, (shape_desc, size_desc) in SHAPES.items(): | |
| for size_ratio in SIZE_RATIOS: | |
| half_w, half_h = get_bounding_half(shape_key, size_ratio) | |
| for pos_key in POSITIONS_DEFAULT: | |
| pos_desc = (POSITIONS_TRIANGLE if shape_key == "equilateral triangle" else POSITIONS_DEFAULT)[pos_key] | |
| cx, cy = get_center(pos_key, half_w, half_h) | |
| if is_out_of_bounds(cx, cy, half_w, half_h): | |
| skipped += 1 | |
| continue | |
| filled = (prompt_text | |
| .replace("<shape>", shape_desc) | |
| .replace("<size_desc>", size_desc) | |
| .replace("<size>", f"{int(size_ratio * 100)}%") | |
| .replace("<position>", pos_desc)) | |
| rows.append({ | |
| "id": id_counter, | |
| "prompt": filled, | |
| "shape": shape_key, | |
| "position": pos_key, | |
| "size_ratio": size_ratio, | |
| "center_x": round(cx), | |
| "center_y": round(cy), | |
| "task": 3, | |
| }) | |
| id_counter += 1 | |
| output_dir = os.path.dirname(output_file) | |
| if output_dir and not os.path.exists(output_dir): | |
| os.makedirs(output_dir, exist_ok=True) | |
| with open(output_file, "w", newline="", encoding="utf-8") as f: | |
| writer = csv.DictWriter(f, fieldnames=["id", "prompt", "shape", "position", "size_ratio", "center_x", "center_y", "task"]) | |
| writer.writeheader() | |
| writer.writerows(rows) | |
| print(f"Generation complete: {output_file} ({len(rows)} rows, {skipped} skipped as out-of-bounds)") | |
| generate_metadata("raw_config/Task_Geometric.csv", "metadata/Task_Geometric_metadata.csv") | |