lang: support direct video inference (#9936)

Co-authored-by: Lianmin Zheng <lianminzheng@gmail.com>

python/sglang/utils.py

@@ -209,52 +209,6 @@ def encode_frame(frame):
     return frame_bytes
 
 
-def encode_video_base64(video_path: str, num_frames: int = 16):
-    import cv2  # pip install opencv-python-headless
-
-    cap = cv2.VideoCapture(video_path)
-    if not cap.isOpened():
-        raise IOError(f"Could not open video file:{video_path}")
-
-    total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
-    print(f"target_frames: {num_frames}")
-
-    frame_indices = np.linspace(0, total_frames - 1, num_frames, dtype=int)
-
-    frames = []
-    for _ in range(total_frames):
-        ret, frame = cap.read()
-        if ret:
-            frames.append(frame)
-        else:
-            # Handle the case where the frame could not be read
-            # print(f"Warning: Could not read frame at index {i}.")
-            pass
-
-    cap.release()
-
-    # Safely select frames based on frame_indices, avoiding IndexError
-    frames = [frames[i] for i in frame_indices if i < len(frames)]
-
-    # If there are not enough frames, duplicate the last frame until we reach the target
-    while len(frames) < num_frames:
-        frames.append(frames[-1])
-
-    # Use ThreadPoolExecutor to process and encode frames in parallel
-    with ThreadPoolExecutor() as executor:
-        encoded_frames = list(executor.map(encode_frame, frames))
-
-    # encoded_frames = list(map(encode_frame, frames))
-
-    # Concatenate all frames bytes
-    video_bytes = b"".join(encoded_frames)
-
-    # Encode the concatenated bytes to base64
-    video_base64 = "video:" + pybase64.b64encode(video_bytes).decode("utf-8")
-
-    return video_base64
-
-
 def _is_chinese_char(cp: int):
     """Checks whether CP is the codepoint of a CJK character."""
     # This defines a "chinese character" as anything in the CJK Unicode block: