import os import shutil import subprocess import cv2 from PIL import Image from moviepy.editor import * from moviepy.video.io.ffmpeg_tools import ffmpeg_extract_subclip from gradio_client import Client import gradio as gr matte_client = Client("https://fffiloni-video-matting-anything.hf.space/") # execute a CLI command def execute_command(command: str) -> None: subprocess.run(command, check=True) def infer(video_frames, masks_frames, project_name): # Create the directory if it doesn't exist my_video_directory = f"{project_name}" if not os.path.exists(my_video_directory): os.makedirs(my_video_directory) # Assuming 'images' is a list of image file paths for idx, image in enumerate(video_frames): # Get the base file name (without path) from the original location image_name = os.path.basename(image.name) # Construct the destination path in the working directory destination_path = os.path.join(my_video_directory, image_name) # Copy the image from the original location to the working directory shutil.copy(image.name, destination_path) # Print the image name and its corresponding save path print(f"Image {idx + 1}: {image_name} copied to {destination_path}") # Create the directory if it doesn't exist my_masks_directory = f"{project_name}_masks" if not os.path.exists(my_masks_directory): os.makedirs(my_masks_directory) # Assuming 'images' is a list of image file paths for idx, image in enumerate(masks_frames): # Get the base file name (without path) from the original location image_name = os.path.basename(image.name) # Construct the destination path in the working directory destination_path = os.path.join(my_masks_directory, image_name) # Copy the image from the original location to the working directory shutil.copy(image.name, destination_path) # Print the image name and its corresponding save path print(f"Image {idx + 1}: {image_name} copied to {destination_path}") #video_frames_folder = "inputs/object_removal/bmx-trees" #masks_folder = "inputs/object_removal/bmx-trees_mask" video_frames_folder = f"{my_video_directory}" masks_folder = f"{my_masks_directory}" # Create the "results" folder if it doesn't exist output_folder = "results" if not os.path.exists(output_folder): os.makedirs(output_folder) #bmx_trees_folder = os.path.join(output_folder, "bmx-trees") command = [ f"python", f"inference_propainter.py", f"--video={video_frames_folder}", f"--mask={masks_folder}", f"--output={output_folder}" ] execute_command(command) # Get the list of files in the "results" folder result_files = os.listdir(output_folder) # Print the content of the "results" folder print(f"Contents of the {output_folder} folder:") for item in result_files: print(item) # List the content of the "bmx-trees" folder within "results" results_folder = os.path.join(output_folder, f"{project_name}") results_folder_content = [os.path.join(results_folder, item) for item in os.listdir(results_folder)] print(f"Contents of the {results_folder} folder:") for item in results_folder_content: print(item) return "done", results_folder_content[0], results_folder_content[1] def get_frames(video_in, img_type): frames = [] #resize the video clip = VideoFileClip(video_in) #check fps if clip.fps > 30: print("vide rate is over 30, resetting to 30") clip_resized = clip.resize(height=512) clip_resized.write_videofile(f"{img_type}_video_resized.mp4", fps=30) else: print("video rate is OK") clip_resized = clip.resize(height=512) clip_resized.write_videofile(f"{img_type}_video_resized.mp4", fps=clip.fps) print("video resized to 512 height") # Opens the Video file with CV2 cap= cv2.VideoCapture(f"{img_type}_video_resized.mp4") fps = cap.get(cv2.CAP_PROP_FPS) print("video fps: " + str(fps)) i=0 while(cap.isOpened()): ret, frame = cap.read() if ret == False: break if img_type == "source": filename = f'{i:05d}.jpg' cv2.imwrite(filename, frame) frames.append(filename) elif img_type == "mask": filename = f'{i:05d}.png' cv2.imwrite(filename, frame) frames.append(filename) i+=1 cap.release() cv2.destroyAllWindows() print("broke the video into frames") return frames, fps, clip.fps def get_matte(video_in, subject_to_remove): print("Trying to call video matting") result = matte_client.predict( f"{video_in}", # str (filepath on your computer (or URL) of file) in 'parameter_4' Video component 10, # int | float (numeric value between 0 and 10) in 'Cut video at (s)' Slider component f"{subject_to_remove}", # str in 'Text prompt' Textbox component "", # str in 'Background prompt' Textbox component api_name="/go_matte" ) print(result) return result[2] def infer_auto(project_name, video_in, subject_to_remove): print(video_in) matte_video = get_matte(video_in, subject_to_remove) video_frames = get_frames(video_in, "source") print(video_frames[0]) masks_frames = get_frames(matte_video, "mask") print(masks_frames[0]) # Create the directory if it doesn't exist my_video_directory = f"{project_name}" if not os.path.exists(my_video_directory): os.makedirs(my_video_directory) # Assuming 'images' is a list of image file paths for idx, image in enumerate(video_frames[0]): # Get the base file name (without path) from the original location image_name = os.path.basename(image) # Construct the destination path in the working directory destination_path = os.path.join(my_video_directory, image_name) # Copy the image from the original location to the working directory shutil.copy(image, destination_path) # Print the image name and its corresponding save path print(f"Image {idx + 1}: {image_name} copied to {destination_path}") # Create the directory if it doesn't exist my_masks_directory = f"{project_name}_masks" if not os.path.exists(my_masks_directory): os.makedirs(my_masks_directory) # Assuming 'images' is a list of image file paths for idx, image in enumerate(masks_frames[0]): # Get the base file name (without path) from the original location image_name = os.path.basename(image) # Construct the destination path in the working directory destination_path = os.path.join(my_masks_directory, image_name) # Copy the image from the original location to the working directory shutil.copy(image, destination_path) # Print the image name and its corresponding save path print(f"Image {idx + 1}: {image_name} copied to {destination_path}") #video_frames_folder = "inputs/object_removal/bmx-trees" #masks_folder = "inputs/object_removal/bmx-trees_mask" video_frames_folder = f"{my_video_directory}" masks_folder = f"{my_masks_directory}" # Create the "results" folder if it doesn't exist output_folder = "results" if not os.path.exists(output_folder): os.makedirs(output_folder) #bmx_trees_folder = os.path.join(output_folder, "bmx-trees") command = [ f"python", f"inference_propainter.py", f"--video={video_frames_folder}", f"--mask={masks_folder}", f"--output={output_folder}" ] execute_command(command) # Get the list of files in the "results" folder result_files = os.listdir(output_folder) # Print the content of the "results" folder print(f"Contents of the {output_folder} folder:") for item in result_files: print(item) # List the content of the "bmx-trees" folder within "results" results_folder = os.path.join(output_folder, f"{project_name}") results_folder_content = [os.path.join(results_folder, item) for item in os.listdir(results_folder)] print(f"Contents of the {results_folder} folder:") for item in results_folder_content: print(item) # Convert the float fps to an integer needed_fps = int(video_frames[2]) # Load the videos video1 = VideoFileClip(results_folder_content[0]) video2 = VideoFileClip(results_folder_content[1]) # Set the desired frame rate (e.g., 12 fps) new_fps = needed_fps # Convert videos to the new frame rate using subclip video1 = video1.subclip(0, video1.duration).set_fps(new_fps) video2 = video2.subclip(0, video2.duration).set_fps(new_fps) # Save the converted videos video1.write_videofile(f'masked_{new_fps}fps.mp4', fps=new_fps) video2.write_videofile(f'final_{new_fps}fps.mp4', fps=new_fps) return "done", f'masked_{new_fps}fps.mp4', f'final_{new_fps}fps.mp4' css=""" #col-container{ margin: 0 auto; max-width: 840px; text-align: left; } """ with gr.Blocks(css=css) as demo: with gr.Column(elem_id="col-container"): gr.HTML("""

ProPainter

[ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting
code | project page

""") with gr.Row(): with gr.Tab("Manual"): with gr.Column(): project_name = gr.Textbox(label="Name your project", value="my-new-project") video_frames = gr.File(label="Video frames", file_types=["image"], file_count="multiple") masks_frames = gr.File(label="Masks frames", file_types=["image"], file_count="multiple") submit_btn = gr.Button("Submit") with gr.Tab("Auto"): with gr.Column(): project_name_2 = gr.Textbox(label="Name your project", value="my-new-project") video_in = gr.Video(label="Source video", source="upload", format="mp4") subject_to_remove = gr.Textbox(label="Subject to remove") submit_auto_btn = gr.Button("Submit") with gr.Column(): result = gr.Textbox(label="Result") res_masked = gr.Video(label="Masked video") res_files = gr.Video(label="Final result") submit_btn.click(fn=infer, inputs=[video_frames, masks_frames, project_name], outputs=[result, res_masked, res_files]) submit_auto_btn.click(fn=infer_auto, inputs=[project_name, video_in, subject_to_remove], outputs=[result, res_masked, res_files]) demo.queue(max_size=12).launch()