bmcv_image_yuv2hsv ================== 对YUV图像的指定区域转为HSV格式。 **处理器型号支持:** 该接口支持BM1684/BM1684X。 **接口形式:** .. code-block:: c bm_status_t bmcv_image_yuv2hsv( bm_handle_t handle, bmcv_rect_t rect, bm_image input, bm_image output); **参数说明:** * bm_handle_t handle 输入参数。 bm_handle 句柄。 * bmcv_rect_t rect 描述了原图中待转换区域的起始坐标以及大小。具体参数可参见bmcv_image_crop接口中的描述。 * bm_image input 输入参数。输入图像的 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:** bm1684: 该接口目前支持以下 image_format: +-----+------------------------+------------------------+ | num | input image_format | output image_format | +=====+========================+========================+ | 1 | FORMAT_YUV420P | FORMAT_HSV_PLANAR | +-----+------------------------+------------------------+ | 2 | FORMAT_NV12 | FORMAT_HSV_PLANAR | +-----+------------------------+------------------------+ | 3 | FORMAT_NV21 | FORMAT_HSV_PLANAR | +-----+------------------------+------------------------+ bm1684x: 该接口目前 - 支持以下输入色彩格式: +-----+-------------------------------+ | num | input image_format | +=====+===============================+ | 1 | FORMAT_YUV420P | +-----+-------------------------------+ | 2 | FORMAT_NV12 | +-----+-------------------------------+ | 3 | FORMAT_NV21 | +-----+-------------------------------+ - 支持输出色彩格式: +-----+-------------------------------+ | num | output image_format | +=====+===============================+ | 1 | FORMAT_HSV180_PACKED | +-----+-------------------------------+ | 2 | FORMAT_HSV256_PACKED | +-----+-------------------------------+ 目前支持以下 data_type: +-----+--------------------------------+ | num | data_type | +=====+================================+ | 1 | DATA_TYPE_EXT_1N_BYTE | +-----+--------------------------------+ **注意事项:** 1、在调用该接口之前必须确保输入的 image 内存已经申请。 **代码示例:** .. code-block:: c int channel = 2; int width = 1920; int height = 1080; int dev_id = 0; bm_handle_t handle; bm_status_t dev_ret = bm_dev_request(&handle, dev_id); std::shared_ptr src_ptr( new unsigned char[channel * width * height], std::default_delete()); std::shared_ptr res_ptr( new unsigned char[channel * width * height], std::default_delete()); unsigned char * src_data = src_ptr.get(); unsigned char * res_data = res_ptr.get(); for (int i = 0; i < channel * width * height; i++) { src_data[i] = rand() % 255; } // calculate res bmcv_rect_t rect; rect.start_x = 0; rect.start_y = 0; rect.crop_w = width; rect.crop_h = height; bm_image input, output; bm_image_create(handle, height, width, FORMAT_NV12, DATA_TYPE_EXT_1N_BYTE, &input); bm_image_alloc_dev_mem(input); bm_image_copy_host_to_device(input, (void **)&src_data); bm_image_create(handle, height, width, FORMAT_HSV_PLANAR, DATA_TYPE_EXT_1N_BYTE, &output); bm_image_alloc_dev_mem(output); if (BM_SUCCESS != bmcv_image_yuv2hsv(handle, rect, input, output)) { std::cout << "bmcv yuv2hsv error !!!" << std::endl; bm_image_destroy(input); bm_image_destroy(output); bm_dev_free(handle); exit(-1); } bm_image_copy_device_to_host(output, (void **)&res_data); bm_image_destroy(input); bm_image_destroy(output); bm_dev_free(handle);