Download scripts/make_simple_contact_sheet.py from Histochemichael/microduck-electric-slide-motion: direct link, hf CLI and curl.
- Browser
- Download file 3.36 kB
-
https://huggingface.co/datasets/Histochemichael/microduck-electric-slide-motion/resolve/main/scripts/make_simple_contact_sheet.py
- Command line
-
hf download hf://datasets/Histochemichael/microduck-electric-slide-motion/scripts/make_simple_contact_sheet.py
-
curl -L -o make_simple_contact_sheet.py https://huggingface.co/datasets/Histochemichael/microduck-electric-slide-motion/resolve/main/scripts/make_simple_contact_sheet.py
3.36 kB
| """Create labeled v3 example images from the final split-camera render.""" | |
| from __future__ import annotations | |
| import argparse | |
| from pathlib import Path | |
| import sys | |
| import imageio.v2 as imageio | |
| from PIL import Image, ImageDraw, ImageFont, ImageOps | |
| sys.path.insert(0, str(Path(__file__).resolve().parents[1])) | |
| from choreography import BEAT_SECONDS | |
| from simple_choreography import SIMPLE_COUNTS | |
| def font(size: int) -> ImageFont.ImageFont: | |
| for candidate in ("C:/Windows/Fonts/segoeuib.ttf", "C:/Windows/Fonts/arialbd.ttf"): | |
| try: | |
| return ImageFont.truetype(candidate, size=size) | |
| except OSError: | |
| pass | |
| return ImageFont.load_default() | |
| def labeled(image: Image.Image, label: str, banner_height: int) -> Image.Image: | |
| output = Image.new("RGB", (image.width, image.height + banner_height), "#f7f9fc") | |
| output.paste(image, (0, 0)) | |
| draw = ImageDraw.Draw(output) | |
| draw.rectangle((0, image.height, image.width, output.height), fill="#172033") | |
| font_size = max(16, banner_height // 2) | |
| label_font = font(font_size) | |
| while draw.textbbox((0, 0), label, font=label_font)[2] > image.width - 28 and font_size > 11: | |
| font_size -= 1 | |
| label_font = font(font_size) | |
| draw.text((14, image.height + banner_height // 2), label, fill="white", font=label_font, anchor="lm") | |
| return output | |
| def frame_at(reader: imageio.Reader, fps: float, time_seconds: float) -> Image.Image: | |
| return Image.fromarray(reader.get_data(int(round(time_seconds * fps)))).convert("RGB") | |
| def main() -> None: | |
| parser = argparse.ArgumentParser(description=__doc__) | |
| parser.add_argument("video", type=Path) | |
| parser.add_argument("output_dir", type=Path) | |
| args = parser.parse_args() | |
| output_dir = args.output_dir.resolve() | |
| output_dir.mkdir(parents=True, exist_ok=True) | |
| reader = imageio.get_reader(str(args.video.resolve())) | |
| try: | |
| fps = float(reader.get_meta_data()["fps"]) | |
| cells: list[Image.Image] = [] | |
| for count, spec in enumerate(SIMPLE_COUNTS): | |
| frame = frame_at(reader, fps, (count + 0.5) * BEAT_SECONDS) | |
| close = ImageOps.fit(frame.crop((0, 0, frame.width // 2, frame.height)), (400, 225), Image.Resampling.LANCZOS) | |
| cells.append(labeled(close, f"{count + 1}. {spec.label}", 48)) | |
| sheet = Image.new("RGB", (1600, 4 * cells[0].height), "white") | |
| for index, item in enumerate(cells): | |
| sheet.paste(item, ((index % 4) * 400, (index // 4) * item.height)) | |
| sheet.save(output_dir / "simple_16_count_contact_sheet.jpg", quality=92) | |
| examples = { | |
| "example_right_tap_head_bob": 4, | |
| "example_left_tap_head_bob": 8, | |
| "example_three_steps_back": 10, | |
| "example_rock_forward": 13, | |
| "example_rock_back": 14, | |
| "example_quarter_turn": 16, | |
| } | |
| for filename, one_based_count in examples.items(): | |
| spec = SIMPLE_COUNTS[one_based_count - 1] | |
| frame = frame_at(reader, fps, (one_based_count - 0.5) * BEAT_SECONDS) | |
| frame.thumbnail((1400, 630), Image.Resampling.LANCZOS) | |
| labeled(frame, f"Count {one_based_count}: {spec.label}", 64).save( | |
| output_dir / f"{filename}.jpg", quality=92 | |
| ) | |
| finally: | |
| reader.close() | |
| if __name__ == "__main__": | |
| main() | |