kritsg commited on
Commit
971bf27
·
1 Parent(s): 7b423d7

using html to embed video into demo

Browse files
Files changed (2) hide show
  1. app.py +13 -6
  2. image_posterior.py +16 -1
app.py CHANGED
@@ -21,6 +21,8 @@ parser.add_argument("--save_loc", type=str, required=True)
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  parser.add_argument("--n_top_segs", type=int, default=5)
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  parser.add_argument("--n_gif_images", type=int, default=20)
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  IMAGE_NAME = "imagenet_diego"
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  BLENHEIM_SPANIEL_CLASS = 156
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@@ -76,18 +78,23 @@ def segmentation_generation(image_name, c_width, n_top, n_gif_imgs):
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  def image_mod(image):
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  return image.rotate(45)
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-
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-
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  if __name__ == "__main__":
 
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  inp = gr.inputs.Image(label="Input Image", type="pil")
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- out = gr.outputs.Video(label="Output Image")
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  iface = gr.Interface(
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  segmentation_generation,
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  [
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  inp,
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- gr.inputs.Slider(minimum=0.001, maximum=0.8, step=0.001, default=0.1, label="cred_width", optional=False),
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  gr.inputs.Slider(minimum=1, maximum=10, step=1, default=5, label="n_top_segs", optional=False),
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  gr.inputs.Slider(minimum=10, maximum=50, step=1, default=20, label="n_gif_images", optional=False),
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- ], outputs=out, examples=[["./imagenet_diego.png", 0.1, 6, 20]])
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- iface.launch()
 
 
 
 
 
 
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  parser.add_argument("--n_top_segs", type=int, default=5)
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  parser.add_argument("--n_gif_images", type=int, default=20)
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+ # app = flask.Flask(__name__, template_folder="./")
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+
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  IMAGE_NAME = "imagenet_diego"
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  BLENHEIM_SPANIEL_CLASS = 156
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  def image_mod(image):
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  return image.rotate(45)
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+
 
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  if __name__ == "__main__":
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+
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  inp = gr.inputs.Image(label="Input Image", type="pil")
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+ out = gr.outputs.HTML(label="Output Video")
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  iface = gr.Interface(
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  segmentation_generation,
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  [
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  inp,
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+ gr.inputs.Slider(minimum=0.01, maximum=0.8, step=0.001, default=0.1, label="cred_width", optional=False),
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  gr.inputs.Slider(minimum=1, maximum=10, step=1, default=5, label="n_top_segs", optional=False),
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  gr.inputs.Slider(minimum=10, maximum=50, step=1, default=20, label="n_gif_images", optional=False),
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+ ],
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+ outputs=out,
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+ examples=[["./imagenet_diego.png", 0.05, 7, 50]]
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+ )
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+ iface.launch()
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+
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+ # app.run(host='0.0.0.0', port=int(os.environ.get('PORT', 7860)))
image_posterior.py CHANGED
@@ -68,6 +68,21 @@ def create_gif(explanation_blr, segments, image, n_images=20, n_max=5):
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  # Save to gif
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  # https://stackoverflow.com/questions/61716066/creating-an-animation-out-of-matplotlib-pngs
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  # print(f"Saving gif to {save_loc}")
 
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  ims = [imageio.imread(f) for f in paths]
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- return imageio.mimwrite(imageio.RETURN_BYTES, ims)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # Save to gif
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  # https://stackoverflow.com/questions/61716066/creating-an-animation-out-of-matplotlib-pngs
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  # print(f"Saving gif to {save_loc}")
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+
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  ims = [imageio.imread(f) for f in paths]
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+ writer = imageio.get_writer('C:/Users/pineapples/Documents/research/Modeling-Uncertainty-Local-Explainability/Modeling-Uncertainty-in-Explainability-Demo/test.mp4', fps = n_images)
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+ for im in ims:
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+ writer.append_data(im)
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+ writer.close()
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+
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+
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+ html = '''
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+ <div style='max-width:100%; max-height:360px; overflow:auto'>
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+ <video width="320" height="240" autoplay>
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+ <source src="/build/videos/arcnet.io(7-sec).mp4" type=video/mp4>
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+ </video>
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+ </div>
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+ )'''
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+ return html
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+ # return imageio.mimwrite(imageio.RETURN_BYTES, ims)
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