示例#1
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def do_classification(sleep_time, n_classes):
    output = classification(G["frame"], sleep_time, n_classes)
    np.copyto(G["output_classification"], output)
示例#2
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def process(frame, base_sleep_time, n_classes):
    rs1 = segmentation1(frame, base_sleep_time * 0.03)
    rs2 = segmentation2(frame, base_sleep_time * 0.04)
    rs3 = classification(frame, base_sleep_time * 0.05, n_classes)
    return rs1, rs2, rs3
示例#3
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 def process(self, x):
     return classification(x, self.sleep_time, self.n_classes)
示例#4
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def class_target(x):
    return classification(x, 0.05 * g_dict["coef"], g_dict["n_classes"])
示例#5
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 def class_target(x):
     return classification(x, 0.05 * coef, n_classes)