import os import numpy as np class Config: # 文件相关参数 nRows, nCols, nBands = 256, 1024, 22 nRgbRows, nRgbCols, nRgbBands = 1024, 4096, 3 # 需要设置的谱段等参数 selected_bands = [127, 201, 202, 294] bands = [127, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 294] is_yellow_min = np.array([0.10167048, 0.1644719, 0.1598884, 0.31534621]) is_yellow_max = np.array([0.212984, 0.25896924, 0.26509268, 0.51943593]) is_black_threshold = np.asarray([0.1369, 0.1472, 0.1439, 0.1814]) black_yellow_bands = [0, 2, 3, 21] green_bands = [i for i in range(1, 21)] # 光谱模型参数 blk_size = 4 # 必须是2的倍数,不然会出错 pixel_model_path = r"./weights/pixel_2022-08-02_15-22.model" # 开发时的路径 # pixel_model_path = r"/home/dt/tobacco-color/weights/pixel_2022-08-02_15-22.model" # 机器上部署的路径 blk_model_path = r"./weights/rf_4x4_c22_20_sen8_9.model" # 开发时的路径 # blk_model_path = r"/home/dt/tobacco-color/weights/rf_4x4_c22_20_sen8_9.model" # 机器上部署的路径 spec_size_threshold = 3 s_threshold_a = 125 # s_a的最高允许值 s_threshold_b = 125 # s_b的最高允许值 # rgb模型参数 rgb_tobacco_model_path = r"weights/tobacco_dt_2022-08-27_14-43.model" # 开发时的路径 # rgb_tobacco_model_path = r"/home/dt/tobacco-color/weights/tobacco_dt_2022-08-27_14-43.model" # 机器上部署的路径 rgb_background_model_path = r"weights/background_dt_2022-08-22_22-15.model" # 开发时的路径 # rgb_background_model_path = r"/home/dt/tobacco-color/weights/background_dt_2022-08-22_22-15.model" # 机器上部署的路径 threshold_low, threshold_high = 10, 230 threshold_s = 190 # 饱和度的最高允许值 threshold_a = 127 # a的最高允许值 threshold_b = 127 # b的最高允许值 rgb_size_threshold = 6 # rgb的尺寸限制 lab_size_threshold = 6 # lab的尺寸限制 ai_path = 'weights/best0827.pt' # 开发时的路径 # ai_path = '/home/dt/tobacco-color/weights/best0827.pt' # 机器上部署的路径 ai_conf_threshold = 0.6 # mask parameter target_size = (1024, 1024) # (Width, Height) of mask valve_merge_size = 2 # 每两个喷阀当中有任意一个出现杂质则认为都是杂质 valve_horizontal_padding = 5 # 喷阀横向膨胀的尺寸,应该是奇数,3时表示左右各膨胀1,5时表示左右各膨胀2(23.9.20老倪要求改为5) max_open_valve_limit = 25 # 最大同时开启喷阀限制,按照电流计算,当前的喷阀可以开启的喷阀 600W的电源 / 12V电源 = 50A, 一个阀门1A max_time_spent = 200 # save part offset_vertical = 0 # logging root_dir = os.path.split(os.path.realpath(__file__))[0] log_freq = 1500 # 进行log的频率(多少次predict后进行log写出记录喷阀开启次数) rgb_log_dir = 'rgb_log' # rgb log 文件夹 spec_log_dir = 'spec_log' # spec log 文件夹