MasonryFlow/video_processor.py at main · befoer/MasonryFlow · GitHub

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import cv2
import numpy as np
import os

class VideoProcessor:
    def __init__(self):
        self.supported_formats = ['mp4', 'avi', 'mov', 'mkv', 'wmv', 'flv']

    def extract_thumbnail(self, video_path, thumbnail_size=(300, 300)):
        try:
            if not os.path.exists(video_path):
                print(f"Video not found: {video_path}")
                return None

            cap = cv2.VideoCapture(video_path)

            if not cap.isOpened():
                print(f"Failed to open video: {video_path}")
                return None

            total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
            print(f"Video {video_path} has {total_frames} frames")

            if total_frames > 0:
                frame_position = total_frames // 2
                cap.set(cv2.CAP_PROP_POS_FRAMES, frame_position)

            ret, frame = cap.read()

            if not ret:
                print(f"Failed to read middle frame, trying first frame for {video_path}")
                cap.set(cv2.CAP_PROP_POS_FRAMES, 0)
                ret, frame = cap.read()

            cap.release()

            if not ret or frame is None:
                print(f"Failed to read any frame from {video_path}")
                return None

            frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)

            h, w = frame.shape[:2]
            if h > thumbnail_size[0] or w > thumbnail_size[1]:
                scale = min(thumbnail_size[0] / h, thumbnail_size[1] / w)
                new_h, new_w = int(h * scale), int(w * scale)
                frame = cv2.resize(frame, (new_w, new_h), interpolation=cv2.INTER_AREA)

            print(f"Successfully extracted thumbnail from {video_path}, size: {frame.shape}")
            return frame

        except Exception as e:
            print(f"Error extracting thumbnail from {video_path}: {e}")
            return None

    def extract_first_frame(self, video_path, thumbnail_size=(300, 300)):
        try:
            if not os.path.exists(video_path):
                return None

            cap = cv2.VideoCapture(video_path)

            if not cap.isOpened():
                return None

            ret, frame = cap.read()
            cap.release()

            if not ret or frame is None:
                return None

            frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)

            h, w = frame.shape[:2]
            if h > thumbnail_size[0] or w > thumbnail_size[1]:
                scale = min(thumbnail_size[0] / h, thumbnail_size[1] / w)
                new_h, new_w = int(h * scale), int(w * scale)
                frame = cv2.resize(frame, (new_w, new_h), interpolation=cv2.INTER_AREA)

            return frame

        except Exception as e:
            print(f"Error extracting first frame from {video_path}: {e}")
            return None