Matteo Sirri commited on
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99dceec
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1 Parent(s): 91ccbe1

style: rmeove unusued images

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Files changed (5) hide show
  1. 002.jpg +0 -3
  2. 004.jpg +0 -3
  3. 006.jpg +0 -3
  4. 007.jpg +0 -3
  5. app.py +1 -2
002.jpg DELETED

Git LFS Details

  • SHA256: 91259007b39991ce58977efa6c270de5e5c2f15a3a630ead24164134f5e205f1
  • Pointer size: 131 Bytes
  • Size of remote file: 164 kB
004.jpg DELETED

Git LFS Details

  • SHA256: c5835c5305fc275fc75250634d68bd70ca98256f4b7810f4089766aeed33fea7
  • Pointer size: 130 Bytes
  • Size of remote file: 33.3 kB
006.jpg DELETED

Git LFS Details

  • SHA256: 548800a6783ef6d07a515d786a0674d8b7fd1aee78e751df71147948dafc0a9e
  • Pointer size: 131 Bytes
  • Size of remote file: 140 kB
007.jpg DELETED

Git LFS Details

  • SHA256: 9fbd46f60967604dab1388dfdc2a14a6c7803596ae945c0ac2b78775f1eb56c1
  • Pointer size: 131 Bytes
  • Size of remote file: 271 kB
app.py CHANGED
@@ -55,8 +55,7 @@ def frcnn_coco(image):
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  title = "Domain shift adaption on pedestrian detection with Faster R-CNN"
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  description = '<p style="text-align:center">School in AI: Deep Learning, Vision and Language for Industry - second edition final project work by Matteo Sirri.</p> '
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- examples = ["001.jpg", "002.jpg", "003.jpg",
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- "004.jpg", "005.jpg", "006.jpg", "007.jpg"]
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  io_baseline = gr.Interface(frcnn_coco, gr.Image(type="pil"), gr.Image(
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  type="file", label="Baseline Model trained on COCO + FT on MOT17"))
 
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  title = "Domain shift adaption on pedestrian detection with Faster R-CNN"
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  description = '<p style="text-align:center">School in AI: Deep Learning, Vision and Language for Industry - second edition final project work by Matteo Sirri.</p> '
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+ examples = ["001.jpg", "003.jpg", "005.jpg"]
 
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  io_baseline = gr.Interface(frcnn_coco, gr.Image(type="pil"), gr.Image(
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  type="file", label="Baseline Model trained on COCO + FT on MOT17"))