display.py 2.1 KB

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  1. #!/usr/bin/env python
  2. if __name__ != '__main__': raise Exception("Do not import me!")
  3. import sys
  4. sys.path.insert(0, "..")
  5. import logging
  6. import numpy as np
  7. import matplotlib.pyplot as plt
  8. from argparse import ArgumentParser
  9. from cvdatasets.annotations import AnnotationType
  10. from utils import parser, plot_crops
  11. def main(args):
  12. assert args.dataset in AnnotationType, \
  13. "AnnotationType is not known: \"{}\"".format(args.dataset)
  14. annotation_cls = AnnotationType[args.dataset].value
  15. logging.info("Loading \"{}\" annnotations from \"{}\"".format(args.dataset, args.data))
  16. annot = annotation_cls(args.data, args.parts, args.feature_model)
  17. kwargs = {}
  18. if annot.info is None:
  19. # features = args.features[0 if args.subset == "train" else 1]
  20. kwargs = dict(
  21. part_rescale_size=args.rescale_size,
  22. # features=features,
  23. uniform_parts=args.uniform_parts,
  24. ratio=args.ratio,
  25. )
  26. data = annot.new_dataset(
  27. args.subset,
  28. crop_to_bb=args.crop_to_bb,
  29. crop_uniform=args.crop_uniform,
  30. parts_in_bb=args.parts_in_bb,
  31. rnd_select=args.rnd,
  32. seed=args.seed,
  33. **kwargs
  34. )
  35. logging.info("Loaded {} {} images".format(len(data), args.subset))
  36. start = max(args.start, 0)
  37. n_images = min(args.n_images, len(data) - start)
  38. idxs = range(start, max(start, start + n_images))
  39. for i in idxs:
  40. im, parts, label = data[i]
  41. fig1, axs = plt.subplots(2, 1, figsize=(16,9))
  42. axs[0].axis("off")
  43. axs[0].set_title("Visible Parts")
  44. axs[0].imshow(im)
  45. # if not args.crop_to_bb:
  46. # data.plot_bounding_box(i, axs[0])
  47. parts.plot(im=im, ax=axs[0], ratio=data.ratio)
  48. axs[1].axis("off")
  49. axs[1].set_title("{}selected parts".format("randomly " if args.rnd else ""))
  50. axs[1].imshow(parts.reveal(im, ratio=data.ratio))
  51. if data.uniform_parts:
  52. crop_names = None
  53. else:
  54. crop_names = list(data._annot.part_names.values())
  55. part_crops = parts.visible_crops(im, ratio=data.ratio)
  56. if args.rnd:
  57. parts.invert_selection()
  58. action_crops = parts.visible_crops(im, ratio=data.ratio)
  59. plot_crops(part_crops, "Selected parts", names=crop_names)
  60. if args.rnd:
  61. plot_crops(action_crops, "Actions", names=crop_names)
  62. plt.show()
  63. plt.close()
  64. main(parser.parse_args())