Spaces:
Paused
Paused
File size: 17,142 Bytes
8a581f5 f1da812 4c6c440 8a581f5 fe10180 2eba816 fe10180 a79cc2a a955d0e a79cc2a fe10180 8a581f5 a79cc2a 8a581f5 261124f 2abb50e 261124f f1da812 2abb50e f1da812 261124f 821ff96 261124f 78a0afd 261124f 8a581f5 8c08e24 8a581f5 8c08e24 8a581f5 821ff96 f4cffb9 b985e31 212387e d35d17d 8a581f5 597d161 047f126 597d161 047f126 d35d17d 300feb8 edaa886 8c08e24 300feb8 8c08e24 ce2b6fe 300feb8 a955d0e 8a581f5 fe10180 07b30ee e8e0d42 fe10180 d2a1d9e a55b2a7 07b30ee a55b2a7 fe10180 07b30ee fe10180 d2a1d9e fe10180 d2a1d9e fe10180 d2a1d9e fe10180 db4631c fe10180 05e051d fe10180 5e2c5e4 fe10180 b3ba0ab fe10180 07b30ee c3b568e 648c838 fe10180 d2a1d9e fe10180 648c838 fe10180 648c838 d2a1d9e fe10180 f1da812 5e2c5e4 f1da812 e5f04d4 fe10180 648c838 fe10180 e5f04d4 5e2c5e4 e5f04d4 fe10180 648c838 fe10180 5e2c5e4 fe10180 db4631c 75a34fe db4631c 063a06a d7b4d16 fe10180 db4631c cb1c716 05e051d fe10180 d7b4d16 fe10180 fb2a9d4 fe10180 a955d0e fe10180 8a581f5 a955d0e 8a581f5 97d21b8 8a581f5 fe10180 bbdc40b fe10180 8a581f5 fe10180 a08ff0e fe10180 bbdc40b fe10180 8a581f5 6714e7d a955d0e 6714e7d 8a581f5 0b31d76 a955d0e 8a581f5 a955d0e 8a581f5 a955d0e 8a581f5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 |
import os
import datetime
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
from share_btn import community_icon_html, loading_icon_html, share_js
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):
timestamp = datetime.datetime.now().strftime("%Y%m%d%H%M%S")
# 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)
else:
# If the directory already exists, add a timestamp to the new directory name
my_video_directory = f"{project_name}_{timestamp}"
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)
else:
# If the directory already exists, add a timestamp to the new directory name
my_masks_directory = f"{project_name}_masks_{timestamp}"
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 = f"results_{timestamp}"
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, my_video_directory)
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 results_folder_content[0], results_folder_content[1], gr.Group.update(visible=True)
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
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):
timestamp = datetime.datetime.now().strftime("%Y%m%d%H%M%S")
print(video_in)
# Load the video clip
video_clip = VideoFileClip(video_in)
# Check the original FPS of the video
original_fps = video_clip.fps
# Set the target FPS to 24
target_fps = 24
# Check if the original FPS is greater than 24
if original_fps > target_fps:
# Convert the video to the target FPS
video_clip = video_clip.set_duration(video_clip.duration * (target_fps / original_fps))
video_clip = video_clip.set_fps(target_fps)
# Write the new video to an output file
video_clip.write_videofile(f"retimed_clip_in_{timestamp}.mp4", codec='libx264')
video_in = f"retimed_clip_in_{timestamp}.mp4"
matte_video = get_matte(video_in, subject_to_remove)
# Cut the video to the first 3 seconds
#video_cut = f"video_cut.mp4"
#ffmpeg_extract_subclip(video_in, t1=0, t2=3, targetname=video_cut)
video_frames = get_frames(video_in, "source")
frames_list = video_frames[0]
print(video_frames[0])
masks_frames = get_frames(matte_video, "mask")
masks_list = masks_frames[0]
print(masks_frames[0])
# Check the lengths of the two lists
frames_length = len(frames_list)
masks_length = len(masks_list)
# Make the lists the same length if they are different
if frames_length > masks_length:
frames_list = frames_list[:masks_length]
elif masks_length > frames_length:
masks_list = masks_list[:frames_length]
# Now, both lists have the same length
# 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)
else:
# If the directory already exists, add a timestamp to the new directory name
my_video_directory = f"{project_name}_{timestamp}"
os.makedirs(my_video_directory)
print(f"Created the dir: {my_video_directory}")
# Assuming 'images' is a list of image file paths
for idx, image in enumerate(frames_list):
# 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)
else:
# If the directory already exists, add a timestamp to the new directory name
my_masks_directory = f"{project_name}_masks_{timestamp}"
os.makedirs(my_masks_directory)
print(f"Created the dir: {my_masks_directory}")
# Assuming 'images' is a list of image file paths
for idx, image in enumerate(masks_list):
# 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 = f"results_{timestamp}"
if not os.path.exists(output_folder):
os.makedirs(output_folder)
#bmx_trees_folder = os.path.join(output_folder, "bmx-trees")
# Convert the float fps to an integer
needed_fps = int(video_frames[1])
command_auto= [
f"python",
f"inference_propainter.py",
f"--video={video_frames_folder}",
f"--mask={masks_folder}",
f"--output={output_folder}",
f"--save_fps={int(needed_fps)}",
#f"--fp16"
]
execute_command(command_auto)
# 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, my_video_directory)
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 results_folder_content[0], results_folder_content[1], gr.Group.update(visible=True)
css="""
#col-container{
margin: 0 auto;
max-width: 840px;
text-align: left;
}
.animate-spin {
animation: spin 1s linear infinite;
}
@keyframes spin {
from {
transform: rotate(0deg);
}
to {
transform: rotate(360deg);
}
}
#share-btn-container {
display: flex;
padding-left: 0.5rem !important;
padding-right: 0.5rem !important;
background-color: #000000;
justify-content: center;
align-items: center;
border-radius: 9999px !important;
max-width: 15rem;
height: 32px;
}
div#share-btn-container > div {
flex-direction: row;
background: black;
align-items: center;
}
#share-btn-container:hover {
background-color: #060606;
}
#share-btn {
all: initial;
color: #ffffff;
font-weight: 600;
font-size: 1em;
cursor:pointer;
font-family: 'IBM Plex Sans', sans-serif;
margin-left: 0.5rem !important;
padding-top: 0.5rem !important;
padding-bottom: 0.5rem !important;
right:0;
}
#share-btn * {
all: unset;
}
#share-btn-container div:nth-child(-n+2){
width: auto !important;
min-height: 0px !important;
}
#share-btn-container .wrap {
display: none !important;
}
#share-btn-container.hidden {
display: none!important;
}
img[src*='#center'] {
display: block;
margin: unset;
margin-top: 6px;
}
div#component-25 {
align-items: center;
}
"""
with gr.Blocks(css=css) as demo:
with gr.Column(elem_id="col-container"):
gr.HTML("""
<h2 style="text-align: center;">ProPainter</h2>
<p style="text-align: center;">
[ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting <br />
<a href="https://github.com/sczhou/ProPainter" target="_blank">code</a> | <a href="https://shangchenzhou.com/projects/ProPainter/" target="_blank">project page</a>
</p>
""")
with gr.Row():
with gr.Tab("Manual"):
with gr.Column():
project_name = gr.Textbox(label="Name your project", info="no spaces nor special characters", 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")
gr.Examples(
examples = [
[
[
"hf-examples/manual/00000.jpg",
"hf-examples/manual/00001.jpg",
"hf-examples/manual/00002.jpg"
],
[
"hf-examples/manual/00000.png",
"hf-examples/manual/00001.png",
"hf-examples/manual/00002.png"
],
"manual_example"
]
],
fn = infer,
inputs=[video_frames, masks_frames, project_name],
#outputs=[res_masked, res_files]
)
with gr.Tab("Auto"):
with gr.Column():
project_name_2 = gr.Textbox(label="Name your project", info="no spaces nor special characters", 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")
gr.Examples(
examples = [
[
"example_1",
"hf-examples/knight.mp4",
"knight"
],
[
"example_2",
"hf-examples/knight.mp4",
"horse"
],
[
"example_3",
"hf-examples/knight.mp4",
"tail"
]
],
fn = infer_auto,
inputs=[project_name_2, video_in, subject_to_remove],
#outputs=[res_masked, res_files]
)
with gr.Column():
gr.Markdown("""
### Results
""")
res_masked = gr.Video(label="Masked video", elem_id="res-masked")
res_files = gr.Video(label="Final result", elem_id="res_cleaned")
with gr.Row():
with gr.Group(elem_id="share-btn-container", visible=False) as share_group:
community_icon = gr.HTML(community_icon_html)
loading_icon = gr.HTML(loading_icon_html)
share_button = gr.Button("Share with Community", elem_id="share-btn")
gr.Markdown("""
[![Duplicate this Space](https://huggingface.co/datasets/huggingface/badges/raw/main/duplicate-this-space-lg.svg#center)](https://huggingface.co/spaces/fffiloni/ProPainter?duplicate=true)
""")
submit_btn.click(fn=infer, inputs=[video_frames, masks_frames, project_name], outputs=[res_masked, res_files, share_group])
submit_auto_btn.click(fn=infer_auto, inputs=[project_name_2, video_in, subject_to_remove], outputs=[res_masked, res_files, share_group])
share_button.click(None, [], [], _js=share_js)
demo.queue(max_size=12).launch() |