prakrutpatel commited on
Commit
5d51a35
·
1 Parent(s): 45490bf

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +1 -1
app.py CHANGED
@@ -419,5 +419,5 @@ def segment(image):
419
  examples = os.listdir('../../Examples')
420
  examples = ['../../Examples/' + item for item in examples]
421
  title="Context R-CNN"
422
- description=f"Gradio demo for **Context R-CNN**: [[Paper]](https://arxiv.org/abs/1912.03538). This model is a real-time neural network for object detection of Gopher Tortoises. Faster R-CNN is used to get a context feature matrix which is used by Context R-CNN to improve detection. Uploaded images need to have date taken attribute in the metadata for it to work. Context R-CNN improves on Faster R-CNN by building a contextual bank by picking up environmental factors like time of day, seasonal changes, etc."
423
  gr.Interface(fn=segment, inputs = "file",outputs = "image" ,title=title, description=description ,examples=examples,enable_queue=True).launch()
 
419
  examples = os.listdir('../../Examples')
420
  examples = ['../../Examples/' + item for item in examples]
421
  title="Context R-CNN"
422
+ description=f"Gradio demo for **Context R-CNN**: [[Paper]](https://arxiv.org/abs/1912.03538). This model is a real-time neural network for object detection of Gopher Tortoises. Faster R-CNN is used to get a context feature matrix which is used by Context R-CNN to improve detection. Uploaded images need to have date taken attribute in the metadata for it to work. Context R-CNN improves upon Faster R-CNN by building a contextual memory bank using environmental factors like time of day, seasonal changes, etc."
423
  gr.Interface(fn=segment, inputs = "file",outputs = "image" ,title=title, description=description ,examples=examples,enable_queue=True).launch()