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clarified spec
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@ -67,7 +67,7 @@ namespace dlib
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- Let M denote the dimensionality of the vectors output by Feature_extractor_type
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- Let M denote the dimensionality of the vectors output by Feature_extractor_type
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objects.
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objects.
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- Let F(i) == the M dimensional vector which is the sum of all vectors
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- Let F(i) == the M dimensional vector which is the sum of all vectors
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given by our Feature_extractor_type object inside the ith feature extraction
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given by our Feature_extractor_type object inside the i-th feature extraction
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zone.
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zone.
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- Then the feature vector for a sliding window is an M*N dimensional vector
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- Then the feature vector for a sliding window is an M*N dimensional vector
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[F(1) F(2) F(3) ... F(N)] (i.e. it is a concatenation of the N vectors).
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[F(1) F(2) F(3) ... F(N)] (i.e. it is a concatenation of the N vectors).
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@ -202,7 +202,7 @@ namespace dlib
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- The order of rectangles in stationary_feature_extraction_regions and
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- The order of rectangles in stationary_feature_extraction_regions and
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movable_feature_extraction_regions matters. Recall that each rectangle
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movable_feature_extraction_regions matters. Recall that each rectangle
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gets its own set of features. So given two different templates, their
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gets its own set of features. So given two different templates, their
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ith rectangles will both share the same part of the weight vector (i.e. the w
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i-th rectangles will both share the same part of the weight vector (i.e. the w
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supplied to detect()). So there should be some reasonable correspondence
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supplied to detect()). So there should be some reasonable correspondence
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between the rectangle ordering in different detection templates. For,
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between the rectangle ordering in different detection templates. For,
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example, different detection templates should place corresponding feature
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example, different detection templates should place corresponding feature
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