Create render_video

render_video

@@ -0,0 +1,57 @@
+#python render_video.py path_to_image_folder
+
+
+import cv2
+import os
+from glob import glob
+import sys
+from tqdm import tqdm  # Progress bar library
+
+def images_to_video(image_folder, fps=30):
+    # Check if the folder exists
+    if not os.path.exists(image_folder):
+        print(f"Error: Folder '{image_folder}' does not exist.")
+        return
+
+    # Get all image files in the folder, sorted by filename
+    images = sorted(glob(os.path.join(image_folder, '*.jpg')))  # Change extension if needed
+    if not images:
+        print("No images found in the folder.")
+        return
+
+    # Extract folder name and define the output video file
+    folder_name = os.path.basename(os.path.normpath(image_folder))
+    os.makedirs("output_video", exist_ok=True)
+    output_video = os.path.join("output_video", f"{folder_name}-01.mp4")
+
+
+    # Ensure the output file doesn't overwrite existing files
+    counter = 1
+    while os.path.exists(output_video):
+        counter += 1
+        output_video = f"{folder_name}-{counter:02d}.mp4"
+
+    # Read the first image to get dimensions
+    frame = cv2.imread(images[0])
+    height, width, channels = frame.shape
+
+    # Define the video codec and create VideoWriter object
+    fourcc = cv2.VideoWriter_fourcc(*'mp4v')  # For .mp4 format
+    video_writer = cv2.VideoWriter(output_video, fourcc, fps, (width, height))
+
+    # Process images with a progress bar
+    print(f"Rendering video: {output_video}")
+    for image_file in tqdm(images, desc="Processing frames", unit="frame"):
+        frame = cv2.imread(image_file)
+        video_writer.write(frame)  # Write the frame to the video
+
+    video_writer.release()
+    print(f"Video successfully created: {output_video}")
+
+if __name__ == "__main__":
+    if len(sys.argv) < 2:
+        print("Usage: python script.py <image_folder>")
+        sys.exit(1)
+
+    image_folder = sys.argv[1]
+    images_to_video(image_folder, fps=30)