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Build error
ahmedghani
commited on
Commit
Β·
6158815
1
Parent(s):
345d368
added editing tools
Browse files- README.md +1 -1
- app.py +149 -0
- packages.txt +1 -0
- requirements.txt +3 -0
README.md
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@@ -1,6 +1,6 @@
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---
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title: Editing Tools
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-
emoji:
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colorFrom: red
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colorTo: blue
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sdk: gradio
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---
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title: Editing Tools
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+
emoji: π½οΈπ·π₯πΉπ¦πΌοΈπ¨ποΈ
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colorFrom: red
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colorTo: blue
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sdk: gradio
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app.py
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import glob
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import os
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import io
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import ffmpeg
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import requests
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from PIL import Image
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import gradio as gr
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import shutil
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import concurrent.futures
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def process_image(mask_data, image_path):
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image = Image.open(image_path)
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image_data = io.BytesIO()
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image.save(image_data, format=image.format)
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image_data = image_data.getvalue()
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# Prepare form data
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form_data = {
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'ldmSteps': 25,
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'ldmSampler': 'plms',
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'zitsWireframe': True,
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'hdStrategy': 'Original',
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'hdStrategyCropMargin': 196,
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'hdStrategyCropTrigerSize': 1280,
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'hdStrategyResizeLimit': 2048,
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'prompt': '',
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'negativePrompt': '',
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'croperX': -24,
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'croperY': -23,
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'croperHeight': 512,
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'croperWidth': 512,
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'useCroper': False,
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'sdMaskBlur': 5,
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'sdStrength': 0.75,
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'sdSteps': 50,
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'sdGuidanceScale': 7.5,
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'sdSampler': 'pndm',
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'sdSeed': 42,
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'sdMatchHistograms': False,
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'sdScale': 1,
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'cv2Radius': 5,
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'cv2Flag': 'INPAINT_NS',
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'paintByExampleSteps': 50,
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'paintByExampleGuidanceScale': 7.5,
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'paintByExampleSeed': 42,
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'paintByExampleMaskBlur': 5,
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'paintByExampleMatchHistograms': False,
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'sizeLimit': 1024,
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}
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files_data = {
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'image': (os.path.basename(image_path), image_data),
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'mask': ('mask.png', mask_data)
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}
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response = requests.post('https://ahmedghani-lama-cleaner-lama.hf.space/inpaint', data=form_data, files=files_data)
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if response.headers['Content-Type'] == 'image/jpeg' or response.headers['Content-Type'] == 'image/png':
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output_image_path = os.path.join('output_images', os.path.splitext(os.path.basename(image_path))[0] + '_inpainted' + os.path.splitext(image_path)[1])
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with open(output_image_path, 'wb') as output_image_file:
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output_image_file.write(response.content)
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else:
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print(f"Error processing {image_path}: {response.text}")
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def remove_watermark(sketch, images_path='frames', output_path='output_images'):
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if os.path.exists('output_images'):
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shutil.rmtree('output_images')
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os.makedirs('output_images')
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mask_data = io.BytesIO()
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sketch["mask"].save(mask_data, format=sketch["mask"].format)
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mask_data = mask_data.getvalue()
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image_paths = glob.glob(f'{images_path}/*.*')
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with concurrent.futures.ThreadPoolExecutor() as executor:
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executor.map(lambda image_path: process_image(mask_data, image_path), image_paths)
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return gr.Video.update(value=convert_frames_to_video('output_images'), visible=True), gr.Button.update(value='Done!')
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def convert_video_to_frames(video):
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print(f" input video is : {video}")
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if os.path.exists('input_video.mp4'):
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os.remove('input_video.mp4')
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ffmpeg.input(video).output('input_video.mp4').run()
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video_path = 'input_video.mp4'
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if os.path.exists('frames'):
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shutil.rmtree('frames')
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os.makedirs('frames')
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video_name = os.path.splitext(os.path.basename(video_path))[0]
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# os.system(f'ffmpeg -i {video_path} -qscale:v 2 frames/{video_name}_%d.jpg')
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ffmpeg.input(video_path).output(f'frames/{video_name}_%d.jpg', qscale=2).run()
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return gr.Image.update(value=f"{os.getcwd()}/frames/{video_name}_1.jpg", interactive=True), gr.Button.update(interactive=True)
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def convert_frames_to_video(frames_path):
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if os.path.exists('output_video.mp4'):
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os.remove('output_video.mp4')
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(
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ffmpeg
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.input(f'{frames_path}/*.jpg', pattern_type='glob', framerate=25)
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.output('output_video.mp4')
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.run()
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)
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return gr.Video.update(value='output_video.mp4', visible=True, interactive=True), gr.Button.update(interactive=False)
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css = """
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#remove_btn {
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background: linear-gradient(#201d18, #2bbbc3);
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font-weight: bold;
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font-size: 18px;
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color:white;
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}
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#remove_btn:hover {
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background: linear-gradient(#2bbbc3, #201d18);
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}
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footer {
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display: none !important;
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}
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"""
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demo = gr.Blocks(css=css, title="Video Watermark Remover")
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with demo:
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gr.Markdown("""
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# <center>π₯ Video Watermark Remover</center>
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""")
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with gr.Row():
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with gr.Column():
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input_video = gr.Video(label="Upload a Video")
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with gr.Column():
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mask = gr.Image(label="Create a mask for the image", tool="sketch", type="pil", interactive=False)
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with gr.Row():
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with gr.Column():
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pass
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with gr.Column():
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remove_btn = gr.Button("Remove Watermark", interactive=False, elem_id="remove_btn")
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with gr.Column():
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pass
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output_video = gr.Video(label="Output Video", interactive=False)
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input_video.change(convert_video_to_frames, inputs=[input_video], outputs=[mask, remove_btn])
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remove_btn.click(remove_watermark, inputs=[mask], outputs=[output_video, remove_btn])
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#position:fixed;bottom:0;left:0;right:0;
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gr.Markdown("""## <center style="margin:20px;">Developed by Muhammad Ahmed<img src="https://avatars.githubusercontent.com/u/63394104?v=4" style="height:50px;width:50px;border-radius:50%;margin:5px;"></img></center>
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""")
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demo.launch(show_api=False)
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packages.txt
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ffmpeg
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requirements.txt
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@@ -0,0 +1,3 @@
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gradio==3.22.1
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ffmpeg-python
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glob
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