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  • 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(1, 0.f, 1.f, &prob);
      if (prob < brightness_prob) {
        CHECK_GE(brightness_delta, 0) << "brightness_delta must be non-negative.";
        float delta;
        caffe_rng_uniform(1, -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) > 0) {
        in_img.convertTo(*out_img, -1, 1, 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, 0);
      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 = 0; 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(1, 0.f, 1.f, &prob);
      if (prob < contrast_prob) {
        CHECK_GE(upper, lower) << "contrast upper must be >= lower.";
        CHECK_GE(lower, 0) << "contrast lower must be non-negative.";
        float delta;
        caffe_rng_uniform(1, 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 - 1.f) > 1e-3) {
        in_img.convertTo(*out_img, -1, delta, 0);
      } else {
        *out_img = in_img;
      }
    }
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  • 原文地址:https://www.cnblogs.com/ymjyqsx/p/9164813.html
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