Download tools/frames.py from VisionXLab/FIRM-Video-Bench: direct link, hf CLI and curl.
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https://huggingface.co/datasets/VisionXLab/FIRM-Video-Bench/resolve/main/tools/frames.py
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hf download hf://datasets/VisionXLab/FIRM-Video-Bench/tools/frames.py
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curl -L -o frames.py https://huggingface.co/datasets/VisionXLab/FIRM-Video-Bench/resolve/main/tools/frames.py
2.16 kB
| """Uniform frame sampling from a video into base64-encoded JPEG strings.""" | |
| from __future__ import annotations | |
| import base64 | |
| import io | |
| import os | |
| import cv2 | |
| from PIL import Image | |
| DEFAULT_NUM_SAMPLE_FRAMES: int = 8 | |
| def extract_frames_from_video( | |
| video_path: str, | |
| num_frames: int = DEFAULT_NUM_SAMPLE_FRAMES, | |
| jpeg_quality: int = 90, | |
| verbose: bool = True, | |
| ) -> list[str]: | |
| """Uniformly sample frames from a video and return them as base64 JPEGs. | |
| Returns | |
| ------- | |
| list[str] | |
| Base64-encoded JPEG strings, in temporal order | |
| (frame 1 = earliest, frame N = latest). | |
| """ | |
| cap = cv2.VideoCapture(video_path) | |
| if not cap.isOpened(): | |
| raise RuntimeError(f"Cannot open video: {video_path}") | |
| fps = cap.get(cv2.CAP_PROP_FPS) | |
| total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT)) | |
| if fps <= 0 or total_frames <= 0: | |
| cap.release() | |
| raise RuntimeError( | |
| f"Invalid video metadata: fps={fps}, total_frames={total_frames}" | |
| ) | |
| duration = total_frames / fps | |
| num_to_sample = max(1, min(int(num_frames), total_frames)) | |
| if num_to_sample == 1: | |
| sample_indices = [0] | |
| else: | |
| sample_indices = [ | |
| int(round(i * (total_frames - 1) / (num_to_sample - 1))) | |
| for i in range(num_to_sample) | |
| ] | |
| frame_b64_list: list[str] = [] | |
| for frame_idx in sample_indices: | |
| cap.set(cv2.CAP_PROP_POS_FRAMES, frame_idx) | |
| ret, frame = cap.read() | |
| if not ret: | |
| continue | |
| frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) | |
| img = Image.fromarray(frame_rgb) | |
| buf = io.BytesIO() | |
| img.save(buf, format="JPEG", quality=int(jpeg_quality)) | |
| frame_b64_list.append(base64.b64encode(buf.getvalue()).decode("utf-8")) | |
| cap.release() | |
| if not frame_b64_list: | |
| raise RuntimeError(f"Failed to extract any frames from {video_path}") | |
| if verbose: | |
| print( | |
| f" [frames] Extracted {len(frame_b64_list)} frames from " | |
| f"{os.path.basename(video_path)} " | |
| f"(duration={duration:.1f}s, fps={fps:.1f})" | |
| ) | |
| return frame_b64_list | |