fffiloni commited on
Commit
c170458
1 Parent(s): bad91c5

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +7 -2
app.py CHANGED
@@ -22,6 +22,8 @@ import gradio as gr
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  import argparse
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  import numpy as np
 
 
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  import torch
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  from torch.nn import functional as F
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  import torchvision
@@ -290,10 +292,13 @@ def infer(prompt,video_in, trim_value):
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  print("set stop frames to: " + str(n_frame))
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  for i in frames_list[0:int(n_frame)]:
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- numpy_i = Image.open(i).convert("RGB")
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  #need to convert to numpy
 
 
 
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- matte_img = run_grounded_sam(numpy, text_prompt, task_type, background_prompt, background_type, box_threshold, text_threshold, iou_threshold, scribble_mode, guidance_mode):
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  #print(pix2pix_img)
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  #image = Image.open(pix2pix_img)
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  #rgb_im = image.convert("RGB")
 
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  import argparse
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  import numpy as np
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+ from PIL import image
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+ from moviepy.editor import *
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  import torch
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  from torch.nn import functional as F
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  import torchvision
 
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  print("set stop frames to: " + str(n_frame))
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  for i in frames_list[0:int(n_frame)]:
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+ to_numpy_i = Image.open(i).convert("RGB")
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  #need to convert to numpy
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+ # Convert the image to a NumPy array
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+ image_array = np.array(to_numpy_i)
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+
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+ matte_img = run_grounded_sam(image_array, text_prompt, task_type, background_prompt, background_type, box_threshold, text_threshold, iou_threshold, scribble_mode, guidance_mode):
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  #print(pix2pix_img)
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  #image = Image.open(pix2pix_img)
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  #rgb_im = image.convert("RGB")