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Fix minimal aspect ratio scale for SSDs from TensorFlow

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Dmitry Kurtaev 2018-03-28 12:53:12 +03:00
parent e9b033ef3a
commit f87a0dd6a7
1 changed files with 2 additions and 2 deletions
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4
samples/dnn/tf_text_graph_ssd.py
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@ -196,8 +196,8 @@ for i in range(args.num_layers):
text_format.Merge('b: false', priorBox.attr["clip"]) text_format.Merge('b: false', priorBox.attr["clip"])
if i == 0: if i == 0:
widths = [args.min_scale * 0.5, args.min_scale * sqrt(2.0), args.min_scale * sqrt(0.5)] widths = [0.1, args.min_scale * sqrt(2.0), args.min_scale * sqrt(0.5)]
heights = [args.min_scale * 0.5, args.min_scale / sqrt(2.0), args.min_scale / sqrt(0.5)] heights = [0.1, args.min_scale / sqrt(2.0), args.min_scale / sqrt(0.5)]
else: else:
widths = [scales[i] * sqrt(ar) for ar in args.aspect_ratios] widths = [scales[i] * sqrt(ar) for ar in args.aspect_ratios]
heights = [scales[i] / sqrt(ar) for ar in args.aspect_ratios] heights = [scales[i] / sqrt(ar) for ar in args.aspect_ratios]