func TestCorrMultiStrideNaive_vsDecimate(t *testing.T) {
const (
numIn = 4
eps = 1e-9
)
for _, q := range strideCases {
f := randMulti(q.ImSize.X, q.ImSize.Y, numIn)
g := randMulti(q.TmplSize.X, q.TmplSize.Y, numIn)
h, err := slide.CorrMulti(f, g)
if err != nil {
t.Errorf("im %v, tmpl %v, stride %d: %v", q.ImSize, q.TmplSize, q.K, err)
continue
}
want := slide.Decimate(h, q.K)
got, err := slide.CorrMultiStrideNaive(f, g, q.K)
if err != nil {
t.Errorf("im %v, tmpl %v, stride %d: %v", q.ImSize, q.TmplSize, q.K, err)
continue
}
if err := errIfNotEqImage(want, got, eps); err != nil {
t.Errorf("im %v, tmpl %v, stride %d: %v", q.ImSize, q.TmplSize, q.K, err)
continue
}
}
}
func evalImages(tmpl *rimg64.Multi, ims []string, dir string, sbin int) ([]float64, error) {
var scores []float64
for i, file := range ims {
log.Printf("neg: %d/%d: %s", i+1, len(ims), file)
im, err := loadFeatImage(path.Join(dir, file), sbin)
if err != nil {
return nil, err
}
// Obtain response to sliding window.
resp := slide.CorrMulti(im, tmpl)
scores = append(scores, resp.Elems...)
}
return scores, nil
}