Error: moov atom not found

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'm trying to extract frames from a video using OpenCV and Python, but hitting a wall with a moov atom not found error. This error is preventing cv2.VideoCapture from correctly opening the video file, resulting in an empty array of frames.

Here’s the weird part: this exact workflow, using the same video file (which has been validated and is a valid MP4), worked perfectly fine yesterday. The issue started occurring after a PC restart.

FFmpeg is installed and confirmed to be working on the system.

[mov,mp4,m4a,3gp,3g2,mj2 @ 0x2a78480] moov atom not found

image
image1198×706 180 KB

import cv2
import numpy as np
import base64

def extract_evenly_distributed_frames_from_base64(base64_string, max_frames=90):
    # Decode the Base64 string into bytes
    video_bytes = base64.b64decode(base64_string)
    
    # Write the bytes to a temporary file
    video_path = '/tmp/temp_video.mp4'
    with open(video_path, 'wb') as video_file:
        video_file.write(video_bytes)
    
    # Open the video file using OpenCV
    video_capture = cv2.VideoCapture(video_path)
    
    # Get the total number of frames in the video
    total_frames = int(video_capture.get(cv2.CAP_PROP_FRAME_COUNT))
    
    # Calculate the step size to take 'max_frames' evenly distributed frames
    step_size = max(1, total_frames // (max_frames - 1))
    
    # List to store selected frames as base64
    selected_frames_base64 = []
    
    for i in range(0, total_frames, step_size):
        # Set the current frame position
        video_capture.set(cv2.CAP_PROP_POS_FRAMES, i)
        
        # Read the frame
        ret, frame = video_capture.read()
        if ret:
            # Convert frame (NumPy array) to a Base64 string
            frame_base64 = convert_frame_to_base64(frame)
            selected_frames_base64.append(frame_base64)
        if len(selected_frames_base64) >= max_frames:
            break
    
    # Release the video capture object
    video_capture.release()

    return selected_frames_base64

def convert_frame_to_base64(frame):
    # Convert the frame (NumPy array) to JPEG format
    ret, buffer = cv2.imencode('.jpg', frame)
    if not ret:
        return None

    # Encode JPEG image to Base64
    frame_base64 = base64.b64encode(buffer).decode('utf-8')
    return frame_base64

base64_video = _input.item.binary.data.data
frames_base64 = extract_evenly_distributed_frames_from_base64(base64_video, max_frames=90)

return { "output": frames_base64 }

Would appreciate help on this