From aa8eeaaccdf6f6ecce393b83c84694af3ff5e9de Mon Sep 17 00:00:00 2001
From: xie junchen <1132348563@qq.com>
Date: Sat, 28 Jun 2025 18:12:10 +0800
Subject: [PATCH] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=E8=A7=86=E9=A2=91=E5=A4=84?=
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---
 node/video_split_node.py | 111 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 111 insertions(+)
 create mode 100644 node/video_split_node.py

diff --git a/node/video_split_node.py b/node/video_split_node.py
new file mode 100644
index 0000000..b5163b9
--- /dev/null
+++ b/node/video_split_node.py
@@ -0,0 +1,111 @@
+import cv2
+import torch
+import numpy as np
+
+class SplitVideoByFrames:
+    """
+    传入视频路径，根据帧率将视频拆分为多段，每段帧数上限可控，输出为张量序列列表
+    """
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "video_path": ("STRING", {"default": "your_video.mp4"}),
+                "max_frames_per_clip": ("INT", {"default": 30, "min": 1, "max": 1000}),
+            }
+        }
+
+    RETURN_TYPES = ("LIST", "INT")
+    RETURN_NAMES = ("clips", "num_clips")
+    FUNCTION = "split_video"
+    CATEGORY = "云服务"
+
+    def split_video(self, video_path, max_frames_per_clip):
+        clips = []
+        cap = cv2.VideoCapture(video_path)
+        if not cap.isOpened():
+            raise FileNotFoundError(f"无法打开视频文件: {video_path}")
+        frames = []
+        while True:
+            ret, frame = cap.read()
+            if not ret:
+                break
+            frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+            np_image = frame.astype(np.float32) / 255.0
+            frames.append(torch.from_numpy(np_image))
+            if len(frames) == max_frames_per_clip:
+                clips.append(torch.stack(frames, dim=0))
+                frames = []
+        if frames:
+            clips.append(torch.stack(frames, dim=0))
+        cap.release()
+        return (clips, len(clips))
+
+class GetVideoClipByIndex:
+    """
+    传入 clips（张量序列列表）和索引，返回该片段合成的视频（mp4二进制）
+    """
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "clips": ("LIST", {}),
+                "index": ("INT", {"default": 0, "min": 0}),
+                "fps": ("INT", {"default": 24, "min": 1, "max": 120}),
+                "ext": (["mp4", "avi", "mov"], {"default": "mp4"}),
+            }
+        }
+
+    RETURN_TYPES = ("BYTES",)
+    RETURN_NAMES = ("video_bytes",)
+    FUNCTION = "get_clip_video"
+    CATEGORY = "云服务"
+
+    def get_clip_video(self, clips, index, fps, ext):
+        import tempfile
+        import imageio_ffmpeg
+        import os
+        import io
+        if not clips or index < 0 or index >= len(clips):
+            raise IndexError("索引超出clips范围")
+        clip = clips[index]
+        arr = clip.cpu().numpy() if hasattr(clip, 'cpu') else clip
+        img_list = [np.clip(255. * img, 0, 255).astype(np.uint8) for img in arr]
+        height, width = img_list[0].shape[0], img_list[0].shape[1]
+        pix_fmt = 'rgb24'
+        with tempfile.NamedTemporaryFile(suffix=f'.{ext}', delete=False) as tmpfile:
+            tmp_path = tmpfile.name
+        cmd = [
+            imageio_ffmpeg.get_ffmpeg_exe(),
+            '-y',
+            '-f', 'rawvideo',
+            '-vcodec', 'rawvideo',
+            '-s', f'{width}x{height}',
+            '-pix_fmt', pix_fmt,
+            '-r', str(fps),
+            '-i', '-',
+            '-an',
+            '-vcodec', 'libx264',
+            '-pix_fmt', 'yuv420p',
+            tmp_path
+        ]
+        import subprocess
+        proc = subprocess.Popen(cmd, stdin=subprocess.PIPE)
+        for im in img_list:
+            proc.stdin.write(im.tobytes())
+        proc.stdin.close()
+        proc.wait()
+        with open(tmp_path, "rb") as f:
+            video_bytes = f.read()
+        os.remove(tmp_path)
+        return (video_bytes,)
+
+NODE_CLASS_MAPPINGS = {
+    "SplitVideoByFrames": SplitVideoByFrames,
+    "GetVideoClipByIndex": GetVideoClipByIndex
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "SplitVideoByFrames": "🎬 视频分段拆帧",
+    "GetVideoClipByIndex": "🎞️ 获取片段视频"
+}