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Re-add a hard clamp for an estimator minimum.

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The value 0.4 is above what it should be (0.3 is the theoretical minimum), and
having the harder clamp threshold causes some problems, but fixes others.
There's a deeper bug here.
This commit is contained in:
Steven Robertson 2011-06-11 23:39:51 -04:00
parent 299b5d5dab
commit e9998c28da
1 changed files with 1 additions and 1 deletions
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cuburn/code/filtering.py
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@ -262,7 +262,7 @@ void density_est(float4 *pixbuf, float4 *outbuf, float *denbuf,
# (0.5/1.5)=1/3. # (0.5/1.5)=1/3.
est_sd = np.float32(cp.estimator / 3.) est_sd = np.float32(cp.estimator / 3.)
neg_est_curve = np.float32(-cp.estimator_curve) neg_est_curve = np.float32(-cp.estimator_curve)
est_min = np.float32(cp.estimator_minimum) est_min = np.float32(max(cp.estimator_minimum / 3., 0.4))
fun = mod.get_function("density_est") fun = mod.get_function("density_est")
fun(abufd, obufd, dbufd, est_sd, neg_est_curve, est_min, k1, k2, fun(abufd, obufd, dbufd, est_sd, neg_est_curve, est_min, k1, k2,
block=(32, 32, 1), grid=(self.features.acc_width/32, 1), block=(32, 32, 1), grid=(self.features.acc_width/32, 1),