caffe RandomBrightness和RandomContrast
1.
void RandomBrightness(const cv::Mat& in_img, cv::Mat* out_img,
const float brightness_prob, const float brightness_delta) {
float prob;
caffe_rng_uniform(, .f, .f, &prob);
if (prob < brightness_prob) {
CHECK_GE(brightness_delta, ) << "brightness_delta must be non-negative.";
float delta;
caffe_rng_uniform(, -brightness_delta, brightness_delta, &delta);
AdjustBrightness(in_img, delta, out_img);
} else {
*out_img = in_img;
}
}
void AdjustBrightness(const cv::Mat& in_img, const float delta,
cv::Mat* out_img) {
if (fabs(delta) > ) {
in_img.convertTo(*out_img, -, , delta);
} else {
*out_img = in_img;
}
}
opencv的convertTo的讲解:https://blog.csdn.net/qq_22764813/article/details/52135686
https://blog.csdn.net/qq_15505637/article/details/53887274
type是是否改变深度的,即uint8、uint16、float等,-1就是保持不变
scale是比例因子,即每个像素值需要乘的值
shift是在每个像素上加上的值
opencv调整亮度:https://blog.csdn.net/hb707934728/article/details/74914104
g(i,j)=a*f(i,j)+b a是调整对比度,b是调整亮度,实际上就是scale调整对比度,shift调整亮度,这里就是对比度不变,调整亮度
caffe_rng_uniform:生成n个在a、b之间均匀分布的值
uniform distribution:均匀分布
http://www.voidcn.com/article/p-hqhoassv-qh.html
void caffe_rng_uniform(const int n, const Dtype a, const Dtype b, Dtype* r) {
CHECK_GE(n, );
CHECK(r);
CHECK_LE(a, b);
boost::uniform_real<Dtype> random_distribution(a, caffe_nextafter<Dtype>(b));
boost::variate_generator<caffe::rng_t*, boost::uniform_real<Dtype> >
variate_generator(caffe_rng(), random_distribution);
for (int i = ; i < n; ++i) {
r[i] = variate_generator();
}
}
2.
之前的RandomBrightness是增加亮度,RandomContrast则是增加对比度,其实两个函数的实现差不多,
之前的RandomBrightness博客说过,g(i,j)=a*f(i,j)+b是对比度和亮度的数学表达,调整a是调整的对比度,调整b是调整的亮度,RandomBrightness、RandomContrast是分别实现的调整a和b
RandomBrightness和RandomContrast的prob都是表示执行这个操作的可能性,即是否调整对比度和亮度
void RandomContrast(const cv::Mat& in_img, cv::Mat* out_img,
const float contrast_prob, const float lower, const float upper) {
float prob;
caffe_rng_uniform(, .f, .f, &prob);
if (prob < contrast_prob) {
CHECK_GE(upper, lower) << "contrast upper must be >= lower.";
CHECK_GE(lower, ) << "contrast lower must be non-negative.";
float delta;
caffe_rng_uniform(, lower, upper, &delta);
AdjustContrast(in_img, delta, out_img);
} else {
*out_img = in_img;
}
}
调整的值是delta,实际上是通过在lower和upper选取均匀分布的一个值作为调整对比度的值
void AdjustContrast(const cv::Mat& in_img, const float delta,
cv::Mat* out_img) {
if (fabs(delta - .f) > 1e-) {
in_img.convertTo(*out_img, -, delta, );
} else {
*out_img = in_img;
}
}
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