bmcv_image_bayer2rgb ================== 将bayerBG8或bayerRG8格式图像转成RGB Plannar格式。 **处理器型号支持:** 该接口仅支持BM1684X。 **接口形式:** .. code-block:: c bm_status_t bmcv_image_bayer2rgb( bm_handle_t handle, unsigned char* convd_kernel, bm_image input bm_image output); **参数说明:** * bm_handle_t handle 输入参数。 bm_handle 句柄。 * unsigned char* convd_kernel 输入参数。用于卷积计算的卷积核。 * bm_image input 输入参数。输入bayer格式图像的 bm_image,bm_image 需要外部调用 bmcv_image_create 创建。image 内存可以使用 bm_image_alloc_dev_mem 或者 bm_image_copy_host_to_device 来开辟新的内存,或者使用 bmcv_image_attach 来 attach 已有的内存。 * bm_image output 输出参数。输出 bm_image,bm_image 需要外部调用 bmcv_image_create 创建。image 内存可以通过 bm_image_alloc_dev_mem 来开辟新的内存,或者使用 bmcv_image_attach 来 attach 已有的内存。如果不主动分配将在 api 内部进行自行分配。 **返回值说明:** * BM_SUCCESS: 成功 * 其他:失败 **格式支持:** 该接口目前支持以下输入格式: +-----+--------------------------------+ | num | image_format | +=====+================================+ | 1 | FORMAT_BAYER | +-----+--------------------------------+ | 2 | FORMAT_BAYER_RG8 | +-----+--------------------------------+ 该接口目前支持以下输出格式: +-----+--------------------------------+ | num | image_format | +=====+================================+ | 1 | FORMAT_RGB_PLANAR | +-----+--------------------------------+ 目前支持以下 data_type: +-----+--------------------------------+ | num | data_type | +=====+================================+ | 1 | DATA_TYPE_EXT_1N_BYTE | +-----+--------------------------------+ **注意事项:** 1. input的格式目前支持bayerBG8或bayerRG8,bm_image_create步骤中bayerBG8创建为FORMAT_BAYER格式,bayerRG8创建为FORMAT_BAYER_RG8格式。 2. output的格式是rgb plannar, data_type均为uint8类型。 3. 该接口支持的尺寸范围是 2*2 ~ 8192*8192,且图像的宽高需要是偶数。 4. 如调用该接口的程序为多线程程序,需要在创建bm_image前和销毁bm_image后加线程锁。 **代码示例:** .. code-block:: c #define KERNEL_SIZE 3 * 3 * 3 * 4 * 64 #define CONVD_MATRIX 12 * 9 const unsigned char convd_kernel_bg8[CONVD_MATRIX] = {1, 0, 1, 0, 0, 0, 1, 0, 1, //Rb 0, 0, 2, 0, 0, 0, 0, 0, 2, //Rg1 0, 0, 0, 0, 0, 0, 2, 0, 2, //Rg2 0, 0, 0, 0, 0, 0, 0, 0, 4, //Rr 4, 0, 0, 0, 0, 0, 0, 0, 0, //Bb 2, 0, 2, 0, 0, 0, 0, 0, 0, //Bg1 2, 0, 0, 0, 0, 0, 2, 0, 0, //Bg2 1, 0, 1, 0, 0, 0, 1, 0, 1, //Br 0, 1, 0, 1, 0, 1, 0, 1, 0, //Gb 0, 0, 0, 0, 0, 4, 0, 0, 0, //Gg1 0, 0, 0, 0, 0, 0, 0, 4, 0, //Gg2 0, 1, 0, 1, 0, 1, 0, 1, 0};//Gr const unsigned char convd_kernel_rg8[CONVD_MATRIX] = {4, 0, 0, 0, 0, 0, 0, 0, 0, //Rr 2, 0, 2, 0, 0, 0, 0, 0, 0, //Rg1 2, 0, 0, 0, 0, 0, 2, 0, 0, //Rg2 1, 0, 1, 0, 0, 0, 1, 0, 1, //Rb 1, 0, 1, 0, 0, 0, 1, 0, 1, //Br 0, 0, 2, 0, 0, 0, 0, 0, 2, //Bg1 0, 0, 0, 2, 0, 2, 0, 0, 0, //Bg2 0, 0, 0, 0, 0, 0, 0, 0, 4, //Bb 1, 0, 1, 0, 0, 0, 1, 0, 1, //Gr 0, 0, 0, 0, 0, 4, 0, 0, 0, //Gg1 0, 0, 0, 0, 0, 0, 0, 4, 0, //Gg2 0, 1, 0, 1, 0, 1, 0, 1, 0};//Gb int width = 1920; int height = 1080; int dev_id = 0; unsigned char* input = (unsigned char*)malloc(width * height); unsigned char* output = (unsigned char*)malloc(width * height * 3); bm_handle_t handle; bm_status_t dev_ret = bm_dev_request(&handle, dev_id); bm_image input_img; bm_image output_img; bm_image_create(handle, height, width, FORMAT_BAYER_RG8, DATA_TYPE_EXT_1N_BYTE, &input_img); //bm_image_create(handle, height, width, FORMAT_BAYER, DATA_TYPE_EXT_1N_BYTE, &input_img); //bayerBG8 bm_image_create(handle, height, width, FORMAT_RGB_PLANAR, DATA_TYPE_EXT_1N_BYTE, &output_img); bm_image_alloc_dev_mem(input_img, BMCV_HEAP_ANY); bm_image_alloc_dev_mem(output_img, BMCV_HEAP_ANY); unsigned char kernel_data[KERNEL_SIZE]; memset(kernel_data, 0, KERNEL_SIZE); // constructing convd_kernel_data for (int i = 0;i < 12;i++) { for (int j = 0;j < 9;j++) { kernel_data[i * 9 * 64 + 64 * j] = convd_kernel_rg8[i * 9 + j]; //kernel_data[i * 9 * 64 + 64 * j] = convd_kernel_bg8[i * 9 + j]; } } bm_image_copy_host_to_device(input_img, (void **)input); bmcv_image_bayer2rgb(handle, kernel_data, input_img, output_img); bm_image_copy_device_to_host(output_img, (void **)(&output)); bm_image_destroy(input_img); bm_image_destroy(output_img); free(input); free(output); bm_dev_free(handle);