/*
 * cl_tnr_handler.cpp - CL tnr handler
 *
 *  Copyright (c) 2015 Intel Corporation
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 *
 * Author: Wei Zong <wei.zong@intel.com>
 */

#include "cl_tnr_handler.h"

#define TNR_PROCESSING_FRAME_COUNT  4
#define TNR_LIST_FRAME_COUNT        4
#define TNR_MOTION_THRESHOLD        2

namespace XCam {

static const XCamKernelInfo kernel_tnr_yuv_info = {
    "kernel_tnr_yuv",
#include "kernel_tnr.clx"
    , 0
};

static const XCamKernelInfo kernel_tnr_rgb_info = {
    "kernel_tnr_rgb",
#include "kernel_tnr.clx"
    , 0,
};

CLTnrImageHandler::CLTnrMotionInfo::CLTnrMotionInfo ()
    : hor_shift (0)
    , ver_shift (0)
    , hor_corr (0)
    , ver_corr (0)
{
}

CLTnrImageHandler::CLTnrHistogram::CLTnrHistogram() {
    hor_hist_bin = 0;
    ver_hist_bin = 0;
    hor_hist_current = NULL;
    hor_hist_reference = NULL;
    ver_hist_current = NULL;
    ver_hist_reference = NULL;
};

CLTnrImageHandler::CLTnrHistogram::CLTnrHistogram(uint32_t width, uint32_t height) {
    hor_hist_bin = width;
    ver_hist_bin = height;
    if ((NULL == hor_hist_current) && (hor_hist_bin != 0)) {
        hor_hist_current = (float*)xcam_malloc0(hor_hist_bin * sizeof(float));
    }
    if ((NULL == ver_hist_current) && (ver_hist_bin != 0)) {
        ver_hist_current = (float*)xcam_malloc0(ver_hist_bin * sizeof(float));
    }
    if ((NULL == hor_hist_reference) && (hor_hist_bin != 0)) {
        hor_hist_reference = (float*)xcam_malloc0(hor_hist_bin * sizeof(float));
    }
    if ((NULL == ver_hist_reference) && (ver_hist_bin != 0)) {
        ver_hist_reference = (float*)xcam_malloc0(ver_hist_bin * sizeof(float));
    }
};

CLTnrImageHandler::CLTnrHistogram::~CLTnrHistogram() {
    if (NULL != hor_hist_current) {
        xcam_free(hor_hist_current);
        hor_hist_current = NULL;
    }
    if (NULL != ver_hist_current) {
        xcam_free(ver_hist_current);
        ver_hist_current = NULL;
    }
    if (NULL != hor_hist_reference) {
        xcam_free(hor_hist_reference);
        hor_hist_reference = NULL;
    }
    if (NULL != ver_hist_reference) {
        xcam_free(ver_hist_reference);
        ver_hist_reference = NULL;
    }
    hor_hist_bin = 0;
    ver_hist_bin = 0;
}

CLTnrImageKernel::CLTnrImageKernel (
    const SmartPtr<CLContext> &context, CLTnrType type)
    : CLImageKernel (context)
    , _type (type)
{
}

bool
CLTnrImageHandler::calculate_image_histogram (XCam3AStats* stats, CLTnrHistogramType type, float* histogram)
{
    if ( NULL == stats || NULL == histogram ) {
        return false;
    }

    uint32_t normalize_factor = (1 << stats->info.bit_depth) - 1;
    uint32_t image_width = stats->info.width;
    uint32_t image_height = stats->info.height;
    uint32_t image_aligned_width = stats->info.aligned_width;
    uint32_t hor_hist_bin = image_width;
    uint32_t ver_hist_bin = image_height;

    switch (type) {
    case CL_TNR_HIST_HOR_PROJECTION :
        for (uint32_t bin = 0; bin < hor_hist_bin; bin++) {
            for (uint32_t row_index = 0; row_index < image_height; row_index++) {
                histogram[bin] += (float)(stats->stats[row_index * image_aligned_width + bin].avg_y)
                                  / (1.0 * normalize_factor);
            }
        }
        break;
    case CL_TNR_HIST_VER_PROJECTION :
        for (uint32_t bin = 0; bin < ver_hist_bin; bin++) {
            for (uint32_t col_index = 0; col_index < image_width; col_index++) {
                histogram[bin] += (float)(stats->stats[col_index + bin * image_aligned_width].avg_y)
                                  / (1.0 * normalize_factor);
            }
        }
        break;
    case CL_TNR_HIST_BRIGHTNESS :
        for (uint32_t row_index = 0; row_index < image_height; row_index++) {
            for (uint32_t col_index = 0; col_index < image_width; col_index++) {
                uint8_t bin = (stats->stats[row_index * image_aligned_width + col_index].avg_y * 255)
                              / normalize_factor;
                histogram[bin]++;
            }
        }
        break;
    default :
        break;
    }

    return true;
}

bool
CLTnrImageHandler::calculate_image_histogram (SmartPtr<VideoBuffer> &input, CLTnrHistogramType type, float* histogram)
{
    if ( NULL == histogram ) {
        return false;
    }

    uint32_t normalize_factor = (1 << input->get_video_info ().color_bits) - 1;
    uint32_t image_width = input->get_video_info ().width;
    uint32_t image_height = input->get_video_info ().height;
    uint32_t image_aligned_width = input->get_video_info ().aligned_width;
    uint32_t stride = input->get_video_info ().strides[0];

    uint32_t hor_hist_bin = image_width;
    uint32_t ver_hist_bin = image_height;
    uint32_t pxiel_bytes = stride / image_aligned_width;

    uint32_t format = input->get_video_info ().format;
    if (XCAM_PIX_FMT_RGBA64 != format) {
        XCAM_LOG_ERROR ("Only support RGBA64 format !");
        return false;
    }

    uint8_t* image_buffer = input->map();
    if (NULL == image_buffer) {
        return false;
    }

    switch (type) {
    case CL_TNR_HIST_HOR_PROJECTION :
        for (uint32_t bin = 0; bin < hor_hist_bin; bin++) {
            for (uint32_t row_index = 0; row_index < image_height; row_index++) {
                histogram[bin] += (float)(image_buffer[row_index * stride + pxiel_bytes * bin] +
                                          (image_buffer[row_index * stride + pxiel_bytes * bin + 1] << 8) +
                                          image_buffer[row_index * stride + pxiel_bytes * bin + 2] +
                                          (image_buffer[row_index * stride + pxiel_bytes * bin + 3] << 8) +
                                          image_buffer[row_index * stride + pxiel_bytes * bin + 4] +
                                          (image_buffer[row_index * stride + pxiel_bytes * bin + 5] << 8) )
                                  / (3.0 * normalize_factor);
            }
        }
        break;
    case CL_TNR_HIST_VER_PROJECTION :
        for (uint32_t bin = 0; bin < ver_hist_bin; bin++) {
            for (uint32_t col_index = 0; col_index < stride; col_index += pxiel_bytes) {
                histogram[bin] += (float)(image_buffer[col_index + bin * stride] +
                                          (image_buffer[col_index + bin * stride + 1] << 8) +
                                          image_buffer[col_index + bin * stride + 2] +
                                          (image_buffer[col_index + bin * stride + 3] << 8) +
                                          image_buffer[col_index + bin * stride + 4] +
                                          (image_buffer[col_index + bin * stride + 5] << 8) )
                                  / (3.0 * normalize_factor);
            }
        }
        break;
    case CL_TNR_HIST_BRIGHTNESS :
        for (uint32_t row_index = 0; row_index < image_height; row_index++) {
            for (uint32_t col_index = 0; col_index < stride; col_index += pxiel_bytes) {
                uint8_t bin = (image_buffer[row_index * stride + col_index] +
                               (image_buffer[row_index * stride + col_index + 1] << 8) +
                               image_buffer[row_index * stride + col_index + 2] +
                               (image_buffer[row_index * stride + col_index + 3] << 8) +
                               image_buffer[row_index * stride + col_index + 4] +
                               (image_buffer[row_index * stride + col_index + 5] << 8) ) * 255
                              / (3 * normalize_factor);
                histogram[bin]++;
            }
        }
        break;
    default :
        break;
    }

    input->unmap();

    return true;
}

void
CLTnrImageHandler::print_image_histogram ()
{
    uint32_t hor_hist_bin = _image_histogram.hor_hist_bin;
    uint32_t ver_hist_bin = _image_histogram.ver_hist_bin;

    XCAM_LOG_DEBUG ("hor hist bin = %d, ver hist bin = %d", hor_hist_bin, ver_hist_bin);

    printf("float hor_hist_current[] = { ");
    for (uint32_t i = 0; i < hor_hist_bin; i++) {
        printf("%f, ", _image_histogram.hor_hist_current[i]);
    }
    printf(" }; \n\n\n");

    printf("float ver_hist_current[] = { ");
    for (uint32_t i = 0; i < ver_hist_bin; i++) {
        printf("%f, ", _image_histogram.ver_hist_current[i]);
    }
    printf(" }; \n\n\n");

    printf("float hor_hist_reference[] = { ");
    for (uint32_t i = 0; i < hor_hist_bin; i++) {
        printf("%f, ", _image_histogram.hor_hist_reference[i]);
    }
    printf(" }; \n\n\n");

    printf("float ver_hist_reference[] = { ");
    for (uint32_t i = 0; i < ver_hist_bin; i++) {
        printf("%f, ", _image_histogram.ver_hist_reference[i]);
    }
    printf(" }; \n\n\n");
}

CLTnrImageHandler::CLTnrImageHandler (const SmartPtr<CLContext> &context, CLTnrType type, const char *name)
    : CLImageHandler (context, name)
    , _type (type)
    , _gain_yuv (1.0)
    , _thr_y (0.05)
    , _thr_uv (0.05)
    , _gain_rgb (0.0)
    , _thr_r (0.064)  // set high initial threshold to get strong denoise effect
    , _thr_g (0.045)
    , _thr_b (0.073)
    , _frame_count (TNR_PROCESSING_FRAME_COUNT)
{
}

bool
CLTnrImageHandler::set_tnr_kernel(SmartPtr<CLTnrImageKernel> &kernel)
{
    SmartPtr<CLImageKernel> image_kernel = kernel;
    add_kernel (image_kernel);
    _tnr_kernel = kernel;
    return true;
}

bool
CLTnrImageHandler::set_framecount (uint8_t count)
{
    if (!_tnr_kernel->is_valid ()) {
        XCAM_LOG_ERROR ("set framecount error, invalid TNR kernel !");
        return false;
    }

    XCAM_ASSERT (count >= 2 && count <= 4);
    _frame_count = count;

    return true;
}

bool
CLTnrImageHandler::set_rgb_config (const XCam3aResultTemporalNoiseReduction& config)

{
    if (!_tnr_kernel->is_valid ()) {
        XCAM_LOG_ERROR ("set threshold error, invalid TNR kernel !");
        return false;
    }
    _gain_rgb = (float)config.gain;
    _thr_r = (float)config.threshold[0];
    _thr_g = (float)config.threshold[1];
    _thr_b = (float)config.threshold[2];
    XCAM_LOG_DEBUG ("set TNR RGB config: _gain(%f), _thr_r(%f), _thr_g(%f), _thr_b(%f)",
                    _gain_rgb, _thr_r, _thr_g, _thr_b);

    return true;
}

bool
CLTnrImageHandler::set_yuv_config (const XCam3aResultTemporalNoiseReduction& config)

{
    if (!_tnr_kernel->is_valid ()) {
        XCAM_LOG_ERROR ("set threshold error, invalid TNR kernel !");
        return false;
    }

    _gain_yuv = (float)config.gain;
    _thr_y = (float)config.threshold[0];
    _thr_uv = (float)config.threshold[1];

    XCAM_LOG_DEBUG ("set TNR YUV config: _gain(%f), _thr_y(%f), _thr_uv(%f)",
                    _gain_yuv, _thr_y, _thr_uv);

    return true;
}

XCamReturn
CLTnrImageHandler::prepare_parameters (SmartPtr<VideoBuffer> &input, SmartPtr<VideoBuffer> &output)
{
    SmartPtr<CLContext> context = get_context ();
    const VideoBufferInfo & video_info = input->get_video_info ();
    CLArgList args;
    CLWorkSize work_size;
    XCamReturn ret = XCAM_RETURN_NO_ERROR;

    XCAM_ASSERT (_tnr_kernel.ptr ());

    CLImageDesc desc;
    if (CL_TNR_TYPE_YUV == _type) {
        desc.format.image_channel_order = CL_R;
        desc.format.image_channel_data_type = CL_UNORM_INT8;
        desc.width = video_info.aligned_width;
        desc.height = video_info.aligned_height + video_info.height / 2;
        desc.row_pitch = video_info.strides[0];
        desc.array_size = 2;
        desc.slice_pitch = video_info.strides [0] * video_info.aligned_height;
    } else if (CL_TNR_TYPE_RGB == _type) {
        desc.format.image_channel_order = CL_RGBA;
        desc.format.image_channel_data_type = CL_UNORM_INT8;
        desc.width = video_info.aligned_width;
        desc.height = video_info.height;
        desc.row_pitch = video_info.strides[0];
        desc.array_size = 0;
        desc.slice_pitch = 0;
    }

    SmartPtr<CLImage> image_in = convert_to_climage (context, input, desc);
    SmartPtr<CLImage> image_out = convert_to_climage (context, output, desc);

    XCAM_FAIL_RETURN (
        WARNING,
        image_in->is_valid () && image_out->is_valid (),
        XCAM_RETURN_ERROR_MEM,
        "cl image kernel(%s) in/out memory not available", _tnr_kernel->get_kernel_name ());

    if (CL_TNR_TYPE_YUV == _type) {
        if (!_image_out_prev.ptr ()) {
            _image_out_prev = image_in;
        }
    } else if (CL_TNR_TYPE_RGB == _type) {
        // analyze motion between the latest adjacent two frames
        // Todo: enable analyze when utilize motion compensation next step

        if (_image_in_list.size () < TNR_LIST_FRAME_COUNT) {
            while (_image_in_list.size () < TNR_LIST_FRAME_COUNT) {
                _image_in_list.push_back (image_in);
            }
        } else {
            _image_in_list.pop_front ();
            _image_in_list.push_back (image_in);
        }
    }

    uint32_t vertical_offset = video_info.aligned_height;

    //set args;
    work_size.dim = XCAM_DEFAULT_IMAGE_DIM;
    work_size.local[0] = 8;
    work_size.local[1] = 4;
    if (CL_TNR_TYPE_YUV == _type) {
        args.push_back (new CLMemArgument (image_in));
        args.push_back (new CLMemArgument (_image_out_prev));
        args.push_back (new CLMemArgument (image_out));
        args.push_back (new CLArgumentT<uint> (vertical_offset));

        args.push_back (new CLArgumentT<float> (_gain_yuv));
        args.push_back (new CLArgumentT<float> (_thr_y));
        args.push_back (new CLArgumentT<float> (_thr_uv));

        work_size.global[0] = video_info.width / 2;
        work_size.global[1] = video_info.height / 2;
    }
    else if (CL_TNR_TYPE_RGB == _type) {
        const CLImageDesc out_info = image_out->get_image_desc ();
        work_size.global[0] = out_info.width;
        work_size.global[1] = out_info.height;

        args.push_back (new CLMemArgument (image_out));
        args.push_back (new CLArgumentT<float> (_gain_rgb));
        args.push_back (new CLArgumentT<float> (_thr_r));
        args.push_back (new CLArgumentT<float> (_thr_g));
        args.push_back (new CLArgumentT<float> (_thr_b));
        args.push_back (new CLArgumentT<uint8_t> (_frame_count));

        for (std::list<SmartPtr<CLImage>>::iterator it = _image_in_list.begin (); it != _image_in_list.end (); it++) {
            args.push_back (new CLMemArgument (*it));
        }
    }

    XCAM_ASSERT (_tnr_kernel.ptr ());
    ret = _tnr_kernel->set_arguments (args, work_size);
    XCAM_FAIL_RETURN (
        WARNING, ret == XCAM_RETURN_NO_ERROR, ret,
        "tnr kernel set arguments failed.");

    _image_out_prev = image_out;
    return XCAM_RETURN_NO_ERROR;
}

SmartPtr<CLImageHandler>
create_cl_tnr_image_handler (const SmartPtr<CLContext> &context, CLTnrType type)
{
    SmartPtr<CLTnrImageHandler> tnr_handler;
    SmartPtr<CLTnrImageKernel> tnr_kernel;
    XCamReturn ret = XCAM_RETURN_NO_ERROR;

    tnr_kernel = new CLTnrImageKernel (context, type);
    XCAM_ASSERT (tnr_kernel.ptr ());
    if (CL_TNR_TYPE_YUV == type) {
        ret = tnr_kernel->build_kernel (kernel_tnr_yuv_info, NULL);
    } else if (CL_TNR_TYPE_RGB == type) {
        ret = tnr_kernel->build_kernel (kernel_tnr_rgb_info, NULL);
    } else {
        XCAM_LOG_ERROR ("create cl tnr image handler failed, unknown type:%d", type);
        return NULL;
    }

    XCAM_FAIL_RETURN (
        ERROR, ret == XCAM_RETURN_NO_ERROR, NULL,
        "build tnr kernel failed");

    tnr_handler = new CLTnrImageHandler (context, type, "cl_handler_tnr");
    XCAM_ASSERT (tnr_kernel->is_valid ());
    tnr_handler->set_tnr_kernel (tnr_kernel);

    return tnr_handler;
}

};