countool 0.0.4

""" This is a demo for cvisp, 开发板、相机等拍摄设备取到的RAW with metadata，可以直接用该工具包进行demosaic，得到RGB图像，以便于展示。 - pip install cvisp - from cvisp.utils import Demosaic_RAW

"""

""" 三种模式，分别为：预览raw图，推理GDIP，预览demosaic（自用） run_demosaic(): return the demosaiced image, (HWC, u16, bmp) run_isp_with_meta(): return the rgb image , (HWC, u8, bmp) run_model(weight_path = './your.pt', model = GDIP(), device = 'cuda:0'): return the output of your model, (HWC, u8, bmp)

完整传参说明：
- Demosaic_RAW(mode : str = None, input_data_path : str = None, show_meta_data : bool = True, 
show_image : bool = False, save_image : bool = True, result_output_dir : str = None):
    mode: defatult = 'simple_dm', choices = ['simple_dm', 'opencv_dm']
    input_data_path: raw图片路径，支持单张图片，如：'./test.dng'
    show_meta_data: show the meta data of the input data, default = True，你可以选择是否展示meta data
    show_image: show the output image, default = False，你可以选择是否展示输出图像
    save_image: save the output image, default = True，你可以选择是否保存输出图像，保存路径为result_output_dir
    result_output_dir: the output dir of the result image, default = './demosaic/'，你可以选择保存路径

"""

if name == 'main': for im in glob.glob(image_path_list + '*.dng'): demosaicd_raw = Demosaic_RAW(input_data_path = im).run_model(weight_path = './your.pt', model = GDIP(), device = 'cuda:0') # rgb = Demosaic_RAW(input_data_path = im).run_isp_with_meta() # gdip_out = Demosaic_RAW(input_data_path = im).run_model(weight_path = './your.pt', model = GDIP(), device = 'cuda:0')