Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
#6
by
CircleRadon
- opened
app.py
CHANGED
|
@@ -1,10 +1,10 @@
|
|
| 1 |
import spaces
|
| 2 |
import gradio as gr
|
| 3 |
import numpy as np
|
| 4 |
-
import os
|
| 5 |
import torch
|
| 6 |
from transformers import SamModel, SamProcessor
|
| 7 |
from PIL import Image
|
|
|
|
| 8 |
import cv2
|
| 9 |
import argparse
|
| 10 |
import sys
|
|
@@ -25,11 +25,6 @@ color_rgbs = [
|
|
| 25 |
(1.0, 0.0, 1.0),
|
| 26 |
]
|
| 27 |
|
| 28 |
-
mask_list = []
|
| 29 |
-
mask_raw_list = []
|
| 30 |
-
mask_list_video = []
|
| 31 |
-
mask_raw_list_video = []
|
| 32 |
-
|
| 33 |
def extract_first_frame_from_video(video):
|
| 34 |
cap = cv2.VideoCapture(video)
|
| 35 |
success, frame = cap.read()
|
|
@@ -55,9 +50,7 @@ def add_contour(img, mask, color=(1., 1., 1.)):
|
|
| 55 |
return img
|
| 56 |
|
| 57 |
@spaces.GPU(duration=120)
|
| 58 |
-
def generate_masks(image):
|
| 59 |
-
global mask_list
|
| 60 |
-
global mask_raw_list
|
| 61 |
image['image'] = image['background'].convert('RGB')
|
| 62 |
# del image['background'], image['composite']
|
| 63 |
assert len(image['layers']) == 1, f"Expected 1 layer, got {len(image['layers'])}"
|
|
@@ -80,13 +73,10 @@ def generate_masks(image):
|
|
| 80 |
# Return a list containing the mask image.
|
| 81 |
image['layers'] = []
|
| 82 |
image['composite'] = image['background']
|
| 83 |
-
return mask_list, image
|
| 84 |
-
|
| 85 |
|
| 86 |
@spaces.GPU(duration=120)
|
| 87 |
-
def generate_masks_video(image):
|
| 88 |
-
global mask_list_video
|
| 89 |
-
global mask_raw_list_video
|
| 90 |
image['image'] = image['background'].convert('RGB')
|
| 91 |
# del image['background'], image['composite']
|
| 92 |
assert len(image['layers']) == 1, f"Expected 1 layer, got {len(image['layers'])}"
|
|
@@ -109,7 +99,7 @@ def generate_masks_video(image):
|
|
| 109 |
# Return a list containing the mask image.
|
| 110 |
image['layers'] = []
|
| 111 |
image['composite'] = image['background']
|
| 112 |
-
return mask_list_video, image
|
| 113 |
|
| 114 |
|
| 115 |
@spaces.GPU(duration=120)
|
|
@@ -152,13 +142,13 @@ def describe(image, mode, query, masks):
|
|
| 152 |
img_with_contour_np = add_contour(img_np, mask_np, color=color_rgb)
|
| 153 |
img_with_contour_pil = Image.fromarray((img_with_contour_np * 255.).astype(np.uint8))
|
| 154 |
else:
|
| 155 |
-
masks = mask_raw_list
|
| 156 |
img_with_contour_np = img_np.copy()
|
| 157 |
|
| 158 |
mask_ids = []
|
| 159 |
for i, mask_np in enumerate(masks):
|
| 160 |
-
img_with_contour_np = add_contour(img_with_contour_np, mask_np, color=color_rgbs[i])
|
| 161 |
-
img_with_contour_pil = Image.fromarray((img_with_contour_np * 255.).astype(np.uint8))
|
|
|
|
| 162 |
mask_ids.append(0)
|
| 163 |
|
| 164 |
masks = np.stack(masks, axis=0)
|
|
@@ -214,8 +204,7 @@ def load_first_frame(video_path):
|
|
| 214 |
return image
|
| 215 |
|
| 216 |
@spaces.GPU(duration=120)
|
| 217 |
-
def describe_video(video_path, mode, query, annotated_frame, masks):
|
| 218 |
-
global mask_list_video
|
| 219 |
# Create a temporary directory to save extracted video frames
|
| 220 |
cap = cv2.VideoCapture(video_path)
|
| 221 |
|
|
@@ -267,7 +256,6 @@ def describe_video(video_path, mode, query, annotated_frame, masks):
|
|
| 267 |
|
| 268 |
|
| 269 |
else:
|
| 270 |
-
masks = mask_raw_list_video
|
| 271 |
img_with_contour_np = img_np.copy()
|
| 272 |
|
| 273 |
mask_ids = []
|
|
@@ -306,7 +294,7 @@ def describe_video(video_path, mode, query, annotated_frame, masks):
|
|
| 306 |
mask_image = Image.fromarray((mask_np[:,:,np.newaxis] * np.array(annotated_frame['image'])).astype(np.uint8))
|
| 307 |
mask_list_video.append((mask_image, f"<object{len(mask_list_video)}>"))
|
| 308 |
text = ""
|
| 309 |
-
yield frame_img, text, mask_list_video
|
| 310 |
|
| 311 |
for token in get_model_output(
|
| 312 |
video_tensor,
|
|
@@ -319,7 +307,7 @@ def describe_video(video_path, mode, query, annotated_frame, masks):
|
|
| 319 |
streaming=True,
|
| 320 |
):
|
| 321 |
text += token
|
| 322 |
-
yield gr.update(), text, gr.update()
|
| 323 |
|
| 324 |
|
| 325 |
@spaces.GPU(duration=120)
|
|
@@ -338,20 +326,9 @@ def apply_sam(image, input_points):
|
|
| 338 |
|
| 339 |
return mask_np
|
| 340 |
|
| 341 |
-
def clear_masks():
|
| 342 |
-
global mask_list
|
| 343 |
-
global mask_raw_list
|
| 344 |
-
mask_list = []
|
| 345 |
-
mask_raw_list = []
|
| 346 |
-
return []
|
| 347 |
-
|
| 348 |
|
| 349 |
-
def
|
| 350 |
-
|
| 351 |
-
global mask_raw_list_video
|
| 352 |
-
mask_list_video = []
|
| 353 |
-
mask_raw_list_video = []
|
| 354 |
-
return []
|
| 355 |
|
| 356 |
|
| 357 |
if __name__ == "__main__":
|
|
@@ -363,10 +340,15 @@ if __name__ == "__main__":
|
|
| 363 |
parser.add_argument("--top_p", type=float, default=0.5, help="Top-p for sampling")
|
| 364 |
|
| 365 |
args_cli = parser.parse_args()
|
| 366 |
-
print(args_cli.model_path)
|
| 367 |
|
| 368 |
with gr.Blocks(theme=gr.themes.Soft(primary_hue="amber")) as demo:
|
| 369 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 370 |
HEADER = ("""
|
| 371 |
<div>
|
| 372 |
<h1>VideoRefer X VideoLLaMA3 Demo</h1>
|
|
@@ -479,75 +461,67 @@ if __name__ == "__main__":
|
|
| 479 |
def toggle_query_and_generate_button(mode):
|
| 480 |
query_visible = mode == "QA"
|
| 481 |
caption_visible = mode == "Caption"
|
| 482 |
-
|
| 483 |
-
global mask_raw_list
|
| 484 |
-
mask_list = []
|
| 485 |
-
mask_raw_list = []
|
| 486 |
-
return gr.update(visible=query_visible), gr.update(visible=query_visible), gr.update(visible=query_visible), gr.update(visible=query_visible), gr.update(visible=query_visible), gr.update(visible=caption_visible), gr.update(visible=caption_visible), [], ""
|
| 487 |
|
| 488 |
video_input.change(load_first_frame, inputs=video_input, outputs=first_frame)
|
| 489 |
|
| 490 |
-
mode.change(toggle_query_and_generate_button, inputs=mode, outputs=[query, generate_mask_btn, clear_masks_btn, submit_btn1, mask_output, output_image, submit_btn, mask_output, description])
|
| 491 |
|
| 492 |
def toggle_query_and_generate_button_video(mode):
|
| 493 |
query_visible = mode == "QA"
|
| 494 |
caption_visible = mode == "Caption"
|
| 495 |
-
|
| 496 |
-
global mask_raw_list_video
|
| 497 |
-
mask_list_video = []
|
| 498 |
-
mask_raw_list_video = []
|
| 499 |
-
return gr.update(visible=query_visible), gr.update(visible=query_visible), gr.update(visible=query_visible), gr.update(visible=caption_visible), []
|
| 500 |
|
| 501 |
|
| 502 |
-
mode_video.change(toggle_query_and_generate_button_video, inputs=mode_video, outputs=[query_video, generate_mask_btn_video, submit_btn_video1, submit_btn_video, mask_output_video])
|
| 503 |
|
| 504 |
submit_btn.click(
|
| 505 |
fn=describe,
|
| 506 |
-
inputs=[image_input, mode, query],
|
| 507 |
outputs=[output_image, description, image_input],
|
| 508 |
api_name="describe"
|
| 509 |
)
|
| 510 |
|
| 511 |
submit_btn1.click(
|
| 512 |
fn=describe,
|
| 513 |
-
inputs=[image_input, mode, query],
|
| 514 |
outputs=[output_image, description, image_input],
|
| 515 |
api_name="describe"
|
| 516 |
)
|
| 517 |
|
| 518 |
generate_mask_btn.click(
|
| 519 |
fn=generate_masks,
|
| 520 |
-
inputs=[image_input],
|
| 521 |
-
outputs=[mask_output, image_input]
|
| 522 |
)
|
| 523 |
|
| 524 |
generate_mask_btn_video.click(
|
| 525 |
fn=generate_masks_video,
|
| 526 |
-
inputs=[first_frame],
|
| 527 |
-
outputs=[mask_output_video, first_frame]
|
| 528 |
)
|
| 529 |
|
| 530 |
clear_masks_btn.click(
|
| 531 |
fn=clear_masks,
|
| 532 |
-
outputs=[mask_output]
|
| 533 |
)
|
| 534 |
|
| 535 |
clear_masks_btn_video.click(
|
| 536 |
-
fn=
|
| 537 |
-
outputs=[mask_output_video]
|
| 538 |
)
|
| 539 |
|
| 540 |
submit_btn_video.click(
|
| 541 |
fn=describe_video,
|
| 542 |
-
inputs=[video_input, mode_video, query_video, first_frame],
|
| 543 |
-
outputs=[first_frame, description_video, mask_output_video],
|
| 544 |
api_name="describe_video"
|
| 545 |
)
|
| 546 |
|
| 547 |
submit_btn_video1.click(
|
| 548 |
fn=describe_video,
|
| 549 |
-
inputs=[video_input, mode_video, query_video, first_frame],
|
| 550 |
-
outputs=[first_frame, description_video, mask_output_video],
|
| 551 |
api_name="describe_video"
|
| 552 |
)
|
| 553 |
|
|
|
|
| 1 |
import spaces
|
| 2 |
import gradio as gr
|
| 3 |
import numpy as np
|
|
|
|
| 4 |
import torch
|
| 5 |
from transformers import SamModel, SamProcessor
|
| 6 |
from PIL import Image
|
| 7 |
+
import os
|
| 8 |
import cv2
|
| 9 |
import argparse
|
| 10 |
import sys
|
|
|
|
| 25 |
(1.0, 0.0, 1.0),
|
| 26 |
]
|
| 27 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 28 |
def extract_first_frame_from_video(video):
|
| 29 |
cap = cv2.VideoCapture(video)
|
| 30 |
success, frame = cap.read()
|
|
|
|
| 50 |
return img
|
| 51 |
|
| 52 |
@spaces.GPU(duration=120)
|
| 53 |
+
def generate_masks(image, mask_list, mask_raw_list):
|
|
|
|
|
|
|
| 54 |
image['image'] = image['background'].convert('RGB')
|
| 55 |
# del image['background'], image['composite']
|
| 56 |
assert len(image['layers']) == 1, f"Expected 1 layer, got {len(image['layers'])}"
|
|
|
|
| 73 |
# Return a list containing the mask image.
|
| 74 |
image['layers'] = []
|
| 75 |
image['composite'] = image['background']
|
| 76 |
+
return mask_list, image, mask_list, mask_raw_list
|
|
|
|
| 77 |
|
| 78 |
@spaces.GPU(duration=120)
|
| 79 |
+
def generate_masks_video(image, mask_list_video, mask_raw_list_video):
|
|
|
|
|
|
|
| 80 |
image['image'] = image['background'].convert('RGB')
|
| 81 |
# del image['background'], image['composite']
|
| 82 |
assert len(image['layers']) == 1, f"Expected 1 layer, got {len(image['layers'])}"
|
|
|
|
| 99 |
# Return a list containing the mask image.
|
| 100 |
image['layers'] = []
|
| 101 |
image['composite'] = image['background']
|
| 102 |
+
return mask_list_video, image, mask_list_video, mask_raw_list_video
|
| 103 |
|
| 104 |
|
| 105 |
@spaces.GPU(duration=120)
|
|
|
|
| 142 |
img_with_contour_np = add_contour(img_np, mask_np, color=color_rgb)
|
| 143 |
img_with_contour_pil = Image.fromarray((img_with_contour_np * 255.).astype(np.uint8))
|
| 144 |
else:
|
|
|
|
| 145 |
img_with_contour_np = img_np.copy()
|
| 146 |
|
| 147 |
mask_ids = []
|
| 148 |
for i, mask_np in enumerate(masks):
|
| 149 |
+
# img_with_contour_np = add_contour(img_with_contour_np, mask_np, color=color_rgbs[i])
|
| 150 |
+
# img_with_contour_pil = Image.fromarray((img_with_contour_np * 255.).astype(np.uint8))
|
| 151 |
+
img_with_contour_pil = Image.fromarray((img_with_contour_np* 255.).astype(np.uint8))
|
| 152 |
mask_ids.append(0)
|
| 153 |
|
| 154 |
masks = np.stack(masks, axis=0)
|
|
|
|
| 204 |
return image
|
| 205 |
|
| 206 |
@spaces.GPU(duration=120)
|
| 207 |
+
def describe_video(video_path, mode, query, annotated_frame, masks, mask_list_video):
|
|
|
|
| 208 |
# Create a temporary directory to save extracted video frames
|
| 209 |
cap = cv2.VideoCapture(video_path)
|
| 210 |
|
|
|
|
| 256 |
|
| 257 |
|
| 258 |
else:
|
|
|
|
| 259 |
img_with_contour_np = img_np.copy()
|
| 260 |
|
| 261 |
mask_ids = []
|
|
|
|
| 294 |
mask_image = Image.fromarray((mask_np[:,:,np.newaxis] * np.array(annotated_frame['image'])).astype(np.uint8))
|
| 295 |
mask_list_video.append((mask_image, f"<object{len(mask_list_video)}>"))
|
| 296 |
text = ""
|
| 297 |
+
yield frame_img, text, mask_list_video, mask_list_video
|
| 298 |
|
| 299 |
for token in get_model_output(
|
| 300 |
video_tensor,
|
|
|
|
| 307 |
streaming=True,
|
| 308 |
):
|
| 309 |
text += token
|
| 310 |
+
yield gr.update(), text, gr.update(), gr.update()
|
| 311 |
|
| 312 |
|
| 313 |
@spaces.GPU(duration=120)
|
|
|
|
| 326 |
|
| 327 |
return mask_np
|
| 328 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 329 |
|
| 330 |
+
def clear_masks():
|
| 331 |
+
return [], [], []
|
|
|
|
|
|
|
|
|
|
|
|
|
| 332 |
|
| 333 |
|
| 334 |
if __name__ == "__main__":
|
|
|
|
| 340 |
parser.add_argument("--top_p", type=float, default=0.5, help="Top-p for sampling")
|
| 341 |
|
| 342 |
args_cli = parser.parse_args()
|
|
|
|
| 343 |
|
| 344 |
with gr.Blocks(theme=gr.themes.Soft(primary_hue="amber")) as demo:
|
| 345 |
|
| 346 |
+
mask_list = gr.State([])
|
| 347 |
+
mask_raw_list = gr.State([])
|
| 348 |
+
mask_list_video = gr.State([])
|
| 349 |
+
mask_raw_list_video = gr.State([])
|
| 350 |
+
|
| 351 |
+
|
| 352 |
HEADER = ("""
|
| 353 |
<div>
|
| 354 |
<h1>VideoRefer X VideoLLaMA3 Demo</h1>
|
|
|
|
| 461 |
def toggle_query_and_generate_button(mode):
|
| 462 |
query_visible = mode == "QA"
|
| 463 |
caption_visible = mode == "Caption"
|
| 464 |
+
return gr.update(visible=query_visible), gr.update(visible=query_visible), gr.update(visible=query_visible), gr.update(visible=query_visible), gr.update(visible=query_visible), gr.update(visible=caption_visible), gr.update(visible=caption_visible), [], "", [], [],[],[]
|
|
|
|
|
|
|
|
|
|
|
|
|
| 465 |
|
| 466 |
video_input.change(load_first_frame, inputs=video_input, outputs=first_frame)
|
| 467 |
|
| 468 |
+
mode.change(toggle_query_and_generate_button, inputs=mode, outputs=[query, generate_mask_btn, clear_masks_btn, submit_btn1, mask_output, output_image, submit_btn, mask_output, description, mask_list, mask_raw_list, mask_list_video, mask_raw_list_video])
|
| 469 |
|
| 470 |
def toggle_query_and_generate_button_video(mode):
|
| 471 |
query_visible = mode == "QA"
|
| 472 |
caption_visible = mode == "Caption"
|
| 473 |
+
return gr.update(visible=query_visible), gr.update(visible=query_visible), gr.update(visible=query_visible), gr.update(visible=caption_visible), [], [], [], [], []
|
|
|
|
|
|
|
|
|
|
|
|
|
| 474 |
|
| 475 |
|
| 476 |
+
mode_video.change(toggle_query_and_generate_button_video, inputs=mode_video, outputs=[query_video, generate_mask_btn_video, submit_btn_video1, submit_btn_video, mask_output_video, mask_list, mask_raw_list, mask_list_video, mask_raw_list_video])
|
| 477 |
|
| 478 |
submit_btn.click(
|
| 479 |
fn=describe,
|
| 480 |
+
inputs=[image_input, mode, query, mask_raw_list],
|
| 481 |
outputs=[output_image, description, image_input],
|
| 482 |
api_name="describe"
|
| 483 |
)
|
| 484 |
|
| 485 |
submit_btn1.click(
|
| 486 |
fn=describe,
|
| 487 |
+
inputs=[image_input, mode, query, mask_raw_list],
|
| 488 |
outputs=[output_image, description, image_input],
|
| 489 |
api_name="describe"
|
| 490 |
)
|
| 491 |
|
| 492 |
generate_mask_btn.click(
|
| 493 |
fn=generate_masks,
|
| 494 |
+
inputs=[image_input, mask_list, mask_raw_list],
|
| 495 |
+
outputs=[mask_output, image_input, mask_list, mask_raw_list]
|
| 496 |
)
|
| 497 |
|
| 498 |
generate_mask_btn_video.click(
|
| 499 |
fn=generate_masks_video,
|
| 500 |
+
inputs=[first_frame, mask_list_video, mask_raw_list_video],
|
| 501 |
+
outputs=[mask_output_video, first_frame, mask_list_video, mask_raw_list_video]
|
| 502 |
)
|
| 503 |
|
| 504 |
clear_masks_btn.click(
|
| 505 |
fn=clear_masks,
|
| 506 |
+
outputs=[mask_output, mask_list, mask_raw_list]
|
| 507 |
)
|
| 508 |
|
| 509 |
clear_masks_btn_video.click(
|
| 510 |
+
fn=clear_masks,
|
| 511 |
+
outputs=[mask_output_video, mask_list_video, mask_raw_list_video]
|
| 512 |
)
|
| 513 |
|
| 514 |
submit_btn_video.click(
|
| 515 |
fn=describe_video,
|
| 516 |
+
inputs=[video_input, mode_video, query_video, first_frame, mask_raw_list_video, mask_list_video],
|
| 517 |
+
outputs=[first_frame, description_video, mask_output_video, mask_list_video],
|
| 518 |
api_name="describe_video"
|
| 519 |
)
|
| 520 |
|
| 521 |
submit_btn_video1.click(
|
| 522 |
fn=describe_video,
|
| 523 |
+
inputs=[video_input, mode_video, query_video, first_frame, mask_raw_list_video, mask_list_video],
|
| 524 |
+
outputs=[first_frame, description_video, mask_output_video, mask_list_video],
|
| 525 |
api_name="describe_video"
|
| 526 |
)
|
| 527 |
|