C++ ConstIterator::done方法代码示例

static bool
compare_ (const ImageBuf &A, const ImageBuf &B,
          float failthresh, float warnthresh,
          ImageBufAlgo::CompareResults &result,
          ROI roi, int nthreads)
{
    imagesize_t npels = roi.npixels();
    imagesize_t nvals = npels * roi.nchannels();
    int Achannels = A.nchannels(), Bchannels = B.nchannels();

    // Compare the two images.
    //
    double totalerror = 0;
    double totalsqrerror = 0;
    result.maxerror = 0;
    result.maxx=0, result.maxy=0, result.maxz=0, result.maxc=0;
    result.nfail = 0, result.nwarn = 0;
    float maxval = 1.0;  // max possible value

    ImageBuf::ConstIterator<Atype> a (A, roi, ImageBuf::WrapBlack);
    ImageBuf::ConstIterator<Btype> b (B, roi, ImageBuf::WrapBlack);
    bool deep = A.deep();
    // Break up into batches to reduce cancelation errors as the error
    // sums become too much larger than the error for individual pixels.
    const int batchsize = 4096;   // As good a guess as any
    for ( ;  ! a.done();  ) {
        double batcherror = 0;
        double batch_sqrerror = 0;
        if (deep) {
            for (int i = 0;  i < batchsize && !a.done();  ++i, ++a, ++b) {
                bool warned = false, failed = false;  // For this pixel
                for (int c = roi.chbegin;  c < roi.chend;  ++c)
                    for (int s = 0, e = a.deep_samples(); s < e;  ++s) {
                        compare_value (a, c, a.deep_value(c,s),
                                       b.deep_value(c,s), result, maxval,
                                       batcherror, batch_sqrerror,
                                       failed, warned, failthresh, warnthresh);
                    }
            }
        } else {  // non-deep
            for (int i = 0;  i < batchsize && !a.done();  ++i, ++a, ++b) {
                bool warned = false, failed = false;  // For this pixel
                for (int c = roi.chbegin;  c < roi.chend;  ++c)
                    compare_value (a, c, c < Achannels ? a[c] : 0.0f,
                                   c < Bchannels ? b[c] : 0.0f,
                                   result, maxval, batcherror, batch_sqrerror,
                                   failed, warned, failthresh, warnthresh);
            }
        }
        totalerror += batcherror;
        totalsqrerror += batch_sqrerror;
    }
    result.meanerror = totalerror / nvals;
    result.rms_error = sqrt (totalsqrerror / nvals);
    result.PSNR = 20.0 * log10 (maxval / result.rms_error);
    return result.nfail == 0;
}

static inline bool
isConstantColor_ (const ImageBuf &src, float *color,
                  ROI roi, int nthreads)
{
    // Iterate using the native typing (for speed).
    std::vector<T> constval (roi.nchannels());
    ImageBuf::ConstIterator<T,T> s (src, roi);
    for (int c = roi.chbegin;  c < roi.chend;  ++c)
        constval[c] = s[c];

    // Loop over all pixels ...
    for ( ; ! s.done();  ++s) {
        for (int c = roi.chbegin;  c < roi.chend;  ++c)
            if (constval[c] != s[c])
                return false;
    }
    
    if (color) {
        ImageBuf::ConstIterator<T,float> s (src, roi);
        for (int c = 0;  c < roi.chbegin; ++c)
            color[c] = 0.0f;
        for (int c = roi.chbegin; c < roi.chend; ++c)
            color[c] = s[c];
        for (int c = roi.chend;  c < src.nchannels(); ++c)
            color[c] = 0.0f;
    }

    return true;
}

static bool
paste_ (ImageBuf &dst, ROI dstroi,
        const ImageBuf &src, ROI srcroi, int nthreads)
{
    // N.B. Punt on parallelizing because of the subtle interplay
    // between srcroi and dstroi, the parallel_image idiom doesn't
    // handle that especially well. And it's not worth customizing for
    // this function which is inexpensive and not commonly used, and so
    // would benefit little from parallelizing. We can always revisit
    // this later. But in the mean time, we maintain the 'nthreads'
    // parameter for uniformity with the rest of IBA.
    int src_nchans = src.nchannels ();
    int dst_nchans = dst.nchannels ();
    ImageBuf::ConstIterator<S,D> s (src, srcroi);
    ImageBuf::Iterator<D,D> d (dst, dstroi);
    for ( ;  ! s.done();  ++s, ++d) {
        if (! d.exists())
            continue;  // Skip paste-into pixels that don't overlap dst's data
        for (int c = srcroi.chbegin, c_dst = dstroi.chbegin;
             c < srcroi.chend;  ++c, ++c_dst) {
            if (c_dst >= 0 && c_dst < dst_nchans)
                d[c_dst] = c < src_nchans ? s[c] : D(0);
        }
    }
    return true;
}

static bool
circular_shift_ (ImageBuf &dst, const ImageBuf &src,
                 int xshift, int yshift, int zshift,
                 ROI dstroi, ROI roi, int nthreads)
{
    if (nthreads != 1 && roi.npixels() >= 1000) {
        // Possible multiple thread case -- recurse via parallel_image
        ImageBufAlgo::parallel_image (
            boost::bind(circular_shift_<DSTTYPE,SRCTYPE>,
                        boost::ref(dst), boost::cref(src),
                        xshift, yshift, zshift,
                        dstroi, _1 /*roi*/, 1 /*nthreads*/),
            roi, nthreads);
        return true;
    }

    // Serial case
    int width = dstroi.width(), height = dstroi.height(), depth = dstroi.depth();
    ImageBuf::ConstIterator<SRCTYPE,DSTTYPE> s (src, roi);
    ImageBuf::Iterator<DSTTYPE,DSTTYPE> d (dst);
    for (  ;  ! s.done();  ++s) {
        int dx = s.x() + xshift;  OIIO::wrap_periodic (dx, dstroi.xbegin, width);
        int dy = s.y() + yshift;  OIIO::wrap_periodic (dy, dstroi.ybegin, height);
        int dz = s.z() + zshift;  OIIO::wrap_periodic (dz, dstroi.zbegin, depth);
        d.pos (dx, dy, dz);
        if (! d.exists())
            continue;
        for (int c = roi.chbegin;  c < roi.chend;  ++c)
            d[c] = s[c];
    }
    return true;
}

static bool
convolve_ (ImageBuf &dst, const ImageBuf &src, const ImageBuf &kernel,
           bool normalize, ROI roi, int nthreads)
{
    if (nthreads != 1 && roi.npixels() >= 1000) {
        // Lots of pixels and request for multi threads? Parallelize.
        ImageBufAlgo::parallel_image (
            boost::bind(convolve_<DSTTYPE,SRCTYPE>, boost::ref(dst),
                        boost::cref(src), boost::cref(kernel), normalize,
                        _1 /*roi*/, 1 /*nthreads*/),
            roi, nthreads);
        return true;
    }

    // Serial case

    float scale = 1.0f;
    if (normalize) {
        scale = 0.0f;
        for (ImageBuf::ConstIterator<float> k (kernel); ! k.done(); ++k)
            scale += k[0];
        scale = 1.0f / scale;
    }

    float *sum = ALLOCA (float, roi.chend);
    ROI kroi = get_roi (kernel.spec());
    ImageBuf::Iterator<DSTTYPE> d (dst, roi);
    ImageBuf::ConstIterator<SRCTYPE> s (src, roi, ImageBuf::WrapClamp);
    for ( ; ! d.done();  ++d) {

        for (int c = roi.chbegin; c < roi.chend; ++c)
            sum[c] = 0.0f;

        for (ImageBuf::ConstIterator<float> k (kernel, kroi); !k.done(); ++k) {
            float kval = k[0];
            s.pos (d.x() + k.x(), d.y() + k.y(), d.z() + k.z());
            for (int c = roi.chbegin; c < roi.chend; ++c)
                sum[c] += kval * s[c];
        }
        
        for (int c = roi.chbegin; c < roi.chend; ++c)
            d[c] = scale * sum[c];
    }

    return true;
}

static bool
transpose_ (ImageBuf &dst, const ImageBuf &src,
            ROI roi, int nthreads)
{
    ImageBufAlgo::parallel_image (roi, nthreads, [&](ROI roi){
        ImageBuf::ConstIterator<SRCTYPE,DSTTYPE> s (src, roi);
        ImageBuf::Iterator<DSTTYPE,DSTTYPE> d (dst);
        for (  ;  ! s.done();  ++s) {
            d.pos (s.y(), s.x(), s.z());
            if (! d.exists())
                continue;
            for (int c = roi.chbegin;  c < roi.chend;  ++c)
                d[c] = s[c];
        }
    });
    return true;
}

static inline void 
get_pixel_channels_ (const ImageBuf &buf, int xbegin, int xend,
                     int ybegin, int yend, int zbegin, int zend, 
                     int chbegin, int chend, D *r,
                     stride_t xstride, stride_t ystride, stride_t zstride)
{
    int w = (xend-xbegin), h = (yend-ybegin);
    int nchans = chend - chbegin;
    ImageSpec::auto_stride (xstride, ystride, zstride, sizeof(D), nchans, w, h);
    for (ImageBuf::ConstIterator<S,D> p (buf, xbegin, xend, ybegin, yend, zbegin, zend);
         !p.done(); ++p) {
        imagesize_t offset = (p.z()-zbegin)*zstride + (p.y()-ybegin)*ystride
                           + (p.x()-xbegin)*xstride;
        D *rc = (D *)((char *)r + offset);
        for (int c = 0;  c < nchans;  ++c)
            rc[c] = p[c+chbegin];
    }
}

static bool
histogram_impl (const ImageBuf &A, int channel,
                std::vector<imagesize_t> &histogram, int bins,
                float min, float max, imagesize_t *submin,
                imagesize_t *supermax, ROI roi)
{
    // Double check A's type.
    if (A.spec().format != BaseTypeFromC<Atype>::value) {
        A.error ("Unsupported pixel data format '%s'", A.spec().format);
        return false;
    }

    // Initialize.
    ImageBuf::ConstIterator<Atype, float> a (A, roi);
    float ratio = bins / (max-min);
    int bins_minus_1 = bins-1;
    bool submin_ok = submin != NULL;
    bool supermax_ok = supermax != NULL;
    if (submin_ok)
        *submin = 0;
    if (supermax_ok)
        *supermax = 0;
    histogram.assign(bins, 0);

    // Compute histogram.
    for ( ; ! a.done(); a++) {
        float c = a[channel];
        if (c >= min && c < max) {
            // Map range min->max to 0->(bins-1).
            histogram[ (int) ((c-min) * ratio) ]++;
        } else if (c == max) {
            histogram[bins_minus_1]++;
        } else {
            if (submin_ok && c < min)
                (*submin)++;
            else if (supermax_ok)
                (*supermax)++;
        }
    }
    return true;
}

static bool
color_count_ (const ImageBuf &src, atomic_ll *count,
              int ncolors, const float *color, const float *eps,
              ROI roi, int nthreads)
{
    if (nthreads != 1 && roi.npixels() >= 1000) {
        // Lots of pixels and request for multi threads? Parallelize.
        ImageBufAlgo::parallel_image (
            boost::bind(color_count_<T>, boost::ref(src),
                        count, ncolors, color, eps,
                        _1 /*roi*/, 1 /*nthreads*/),
            roi, nthreads);
        return true;
    }

    // Serial case
    int nchannels = src.nchannels();
    long long *n = ALLOCA (long long, ncolors);
    for (int col = 0;  col < ncolors;  ++col)
        n[col] = 0;
    for (ImageBuf::ConstIterator<T> p (src, roi);  !p.done();  ++p) {
        int coloffset = 0;
        for (int col = 0;  col < ncolors;  ++col, coloffset += nchannels) {
            int match = 1;
            for (int c = roi.chbegin;  c < roi.chend;  ++c) {
                if (fabsf(p[c] - color[coloffset+c]) > eps[c]) {
                    match = 0;
                    break;
                }
            }
            n[col] += match;
        }
    }

    for (int col = 0;  col < ncolors;  ++col)
        count[col] += n[col];
    return true;
}

static bool
colorconvert_impl (ImageBuf &R, const ImageBuf &A,
                   const ColorProcessor* processor, bool unpremult,
                   ROI roi, int nthreads)
{
    if (nthreads != 1 && roi.npixels() >= 1000) {
        // Possible multiple thread case -- recurse via parallel_image
        ImageBufAlgo::parallel_image (
            OIIO::bind(colorconvert_impl<Rtype,Atype>,
                        OIIO::ref(R), OIIO::cref(A), processor, unpremult,
                        _1 /*roi*/, 1 /*nthreads*/),
            roi, nthreads);
        return true;
    }

    // Serial case

    int width = roi.width();
    // Temporary space to hold one RGBA scanline
    std::vector<float> scanline(width*4, 0.0f);
    
    // Only process up to, and including, the first 4 channels.  This
    // does let us process images with fewer than 4 channels, which is
    // the intent.
    // FIXME: Instead of loading the first 4 channels, obey
    //        Rspec.alpha_channel index (but first validate that the
    //        index is set properly for normal formats)
    
    int channelsToCopy = std::min (4, roi.nchannels());
    
    // Walk through all data in our buffer. (i.e., crop or overscan)
    // FIXME: What about the display window?  Should this actually promote
    // the datawindow to be union of data + display? This is useful if
    // the color of black moves.  (In which case non-zero sections should
    // now be promoted).  Consider the lin->log of a roto element, where
    // black now moves to non-black.
    
    float * dstPtr = NULL;
    const float fltmin = std::numeric_limits<float>::min();
    
    // If the processor has crosstalk, and we'll be using it, we should
    // reset the channels to 0 before loading each scanline.
    bool clearScanline = (channelsToCopy<4 && 
                          (processor->hasChannelCrosstalk() || unpremult));
    
    ImageBuf::ConstIterator<Atype> a (A, roi);
    ImageBuf::Iterator<Rtype> r (R, roi);
    for (int k = roi.zbegin; k < roi.zend; ++k) {
        for (int j = roi.ybegin; j < roi.yend; ++j) {
            // Clear the scanline
            if (clearScanline)
                memset (&scanline[0], 0, sizeof(float)*scanline.size());
            
            // Load the scanline
            dstPtr = &scanline[0];
            a.rerange (roi.xbegin, roi.xend, j, j+1, k, k+1);
            for ( ; !a.done(); ++a, dstPtr += 4)
                for (int c = 0; c < channelsToCopy; ++c)
                    dstPtr[c] = a[c];

            // Optionally unpremult
            if ((channelsToCopy >= 4) && unpremult) {
                for (int i = 0; i < width; ++i) {
                    float alpha = scanline[4*i+3];
                    if (alpha > fltmin) {
                        scanline[4*i+0] /= alpha;
                        scanline[4*i+1] /= alpha;
                        scanline[4*i+2] /= alpha;
                    }
                }
            }
            
            // Apply the color transformation in place
            processor->apply (&scanline[0], width, 1, 4,
                              sizeof(float), 4*sizeof(float),
                              width*4*sizeof(float));
            
            // Optionally premult
            if ((channelsToCopy >= 4) && unpremult) {
                for (int i = 0; i < width; ++i) {
                    float alpha = scanline[4*i+3];
                    if (alpha > fltmin) {
                        scanline[4*i+0] *= alpha;
                        scanline[4*i+1] *= alpha;
                        scanline[4*i+2] *= alpha;
                    }
                }
            }

            // Store the scanline
            dstPtr = &scanline[0];
            r.rerange (roi.xbegin, roi.xend, j, j+1, k, k+1);
            for ( ; !r.done(); ++r, dstPtr += 4)
                for (int c = 0; c < channelsToCopy; ++c)
                    r[c] = dstPtr[c];
        }
    }
    return true;
}

//.........这里部分代码省略.........
        // If using separable filters, our vertical set of filter tap
        // weights will be the same for the whole scanline we're on.  Just
        // compute and normalize them once.
        float totalweight_y = 0.0f;
        if (separable) {
            for (int j = 0;  j < ytaps;  ++j) {
                float w = filter->yfilt (yratio * (j-radj-(src_yf_frac-0.5f)));
                yfiltval[j] = w;
                totalweight_y += w;
            }
            for (int i = 0;  i <= ytaps;  ++i)
                yfiltval[i] /= totalweight_y;
        }

        for (int x = roi.xbegin;  x < roi.xend;  ++x) {
            float s = (x-dstfx+0.5f)*dstpixelwidth;
            float src_xf = srcfx + s * srcfw;
            int src_x;
            float src_xf_frac = floorfrac (src_xf, &src_x);
            for (int c = 0;  c < nchannels;  ++c)
                pel[c] = 0.0f;
            if (separable) {
                // Cache and normalize the horizontal filter tap weights
                // just once for this (x,y) position, reuse for all vertical
                // taps.
                float totalweight_x = 0.0f;
                for (int i = 0;  i < xtaps;  ++i) {
                    float w = filter->xfilt (xratio * (i-radi-(src_xf_frac-0.5f)));
                    xfiltval[i] = w;
                    totalweight_x += w;
                }

                if (totalweight_x != 0.0f) {
                    for (int i = 0;  i < xtaps;  ++i)  // normalize x filter
                        xfiltval[i] /= totalweight_x;  // weights
                    ImageBuf::ConstIterator<SRCTYPE> srcpel (src, src_x-radi, src_x+radi+1,
                                                             src_y-radj, src_y+radj+1,
                                                             0, 1, ImageBuf::WrapClamp);
                    for (int j = -radj;  j <= radj;  ++j) {
                        float wy = yfiltval[j+radj];
                        if (wy == 0.0f) {
                            // 0 weight for this y tap -- move to next line
                            srcpel.pos (srcpel.x(), srcpel.y()+1, srcpel.z());
                            continue;
                        }
                        for (int i = 0;  i < xtaps; ++i, ++srcpel) {
                            float w = wy * xfiltval[i];
                            for (int c = 0;  c < nchannels;  ++c)
                                pel[c] += w * srcpel[c];
                        }
                    }
                }
                // Copy the pixel value (already normalized) to the output.
                DASSERT (out.x() == x && out.y() == y);
                if (totalweight_y == 0.0f) {
                    // zero it out
                    for (int c = 0;  c < nchannels;  ++c)
                        out[c] = 0.0f;
                } else {
                    for (int c = 0;  c < nchannels;  ++c)
                        out[c] = pel[c];
                }
            } else {
                // Non-separable
                float totalweight = 0.0f;
                ImageBuf::ConstIterator<SRCTYPE> srcpel (src, src_x-radi, src_x+radi+1,
                                                       src_y-radi, src_y+radi+1,
                                                       0, 1, ImageBuf::WrapClamp);
                for (int j = -radj;  j <= radj;  ++j) {
                    for (int i = -radi;  i <= radi;  ++i, ++srcpel) {
                        float w = (*filter)(xratio * (i-(src_xf_frac-0.5f)),
                                            yratio * (j-(src_yf_frac-0.5f)));
                        totalweight += w;
                        if (w == 0.0f)
                            continue;
                        DASSERT (! srcpel.done());
                        for (int c = 0;  c < nchannels;  ++c)
                            pel[c] += w * srcpel[c];
                    }
                }
                DASSERT (srcpel.done());
                // Rescale pel to normalize the filter and write it to the
                // output image.
                DASSERT (out.x() == x && out.y() == y);
                if (totalweight == 0.0f) {
                    // zero it out
                    for (int c = 0;  c < nchannels;  ++c)
                        out[c] = 0.0f;
                } else {
                    for (int c = 0;  c < nchannels;  ++c)
                        out[c] = pel[c] / totalweight;
                }
            }

            ++out;
        }
    }

    return true;
}