83 cv::COLOR_RGB2YUV = 83, 84 cv::COLOR_YUV2BGR = 84, 85 cv::COLOR_YUV2RGB = 85, 86 cv::COLOR_YUV2RGB_NV12 = 90, 87 cv::COLOR_YUV2BGR_NV12 = 91, 88 cv::COLOR_YUV2RGB_NV21 = 92, 89 cv::COLOR_YUV2BGR_NV21 = 93, 90 cv::COLOR_YUV420sp2RGB = COLOR_YUV2RGB_N...
cv2.COLOR_HLS2RGB_FULL cv2.COLOR_LBGR2Lab cv2.COLOR_LRGB2Lab cv2.COLOR_LBGR2Luv cv2.COLOR_LRGB2Luv cv2.COLOR_Lab2LBGR cv2.COLOR_Lab2LRGB cv2.COLOR_Luv2LBGR cv2.COLOR_Luv2LRGB cv2.COLOR_BGR2YUV cv2.COLOR_RGB2YUV cv2.COLOR_YUV2BGR cv2.COLOR_YUV2RGB cv2.COLOR_YUV2RGB_NV12 cv2...
在RGB模型中，每种颜色出现在红、绿、蓝的原色光谱分量中。该模型基于笛卡尔坐标系。如图1所示，RGB...
COLOR_BGR2LAB) #BGR转YUV img_YUV = cv2.cvtColor(img_BGR, cv2.COLOR_BGR2YUV) #调用matplotlib显示处理结果 titles = ['BGR', 'RGB', 'GRAY', 'HSV', 'YCrCb', 'HLS', 'XYZ', 'LAB', 'YUV'] images = [img_BGR, img_RGB, img_GRAY, img_HSV, img_YCrCb, img_HLS, img_XYZ, img_...
deftemplate_match(img_rgb): # 灰度转换 img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY) # 模板匹配 res = cv2.matchTemplate(img_gray, template, cv2.TM_CCOEFF_NORMED) # 设置阈值 threshold =0.8loc = np.where(res >= threshold) ...
mpi: color: id 15 0x0000f YUV444SP mpi: color: id 16 0x00010 YUV444P mpi: color: id 65536 0x10000 RGB565 mpi: color: id 65537 0x10001 BGR565 mpi: color: id 65538 0x10002 RGB555 mpi: color: id 65539 0x10003 BGR555 mpi: color: id 65542 0x10006 RGB888 ...
mpi: color: id 15 0x0000f YUV444SP mpi: color: id 16 0x00010 YUV444P mpi: color: id 65536 0x10000 RGB565 mpi: color: id 65537 0x10001 BGR565 mpi: color: id 65538 0x10002 RGB555 mpi: color: id 65539 0x10003 BGR555 mpi: color: id 65542 0x10006 RGB888 ...
转换模型时,需配置色域转换参数,用于将YUV420SP格式的图片转换为RGB格式的图片,才能符合模型的输入要求。 主要接口 主要接口如表1所示。 表1 主要接口介绍 功能 对应ACL模块 ACL 接口函数 功能说明 资源初始化 初始化 acl.init 初始化ACL配置。 Device管理 ...
'-pix_fmt','yuv420p', '-preset','ultrafast', '-f','flv', rtmpUrl] #管道特性配置 # pipe = sp.Popen(command, stdout = sp.PIPE, bufsize=10**8) pipe = sp.Popen(command, stdin=sp.PIPE) #,shell=False # pipe.stdin.write(frame.tostring()) ...
"rgb24 -s 1280x720 -i pipe:0 -pix_fmt yuv420p " " live.ts" ).split() return subprocess.Popen(args, stdin=subprocess.PIPE) ffmpeg_process = open_ffmpeg_stream_process() capture = cv2.VideoCapture(0) while True: grabbed, frame = capture.read() ...