计算raw文件的最大最小平均灰度值

calc_val

import numpy as np
import imageio
import cv2
import os

file_path = "images/raw"
file_list = os.listdir(file_path)

mins = []
maxs = []
means = []

for each in file_list:
    if "image" in each:
        rawfile = np.fromfile(file_path + "/" + each, dtype=np.uint16)
        rawfile[0] = rawfile[2]
        rawfile[1] = rawfile[2]
        rawfile[-1] = rawfile[-2]
        mins.append(rawfile.min())
        maxs.append(rawfile.max())
        means.append(rawfile.mean())

print(f"{mins} min is : {min(mins)}")
print(f"{maxs} max is : {max(maxs)}")
# print(np.round(means, decimals=0))
means = np.array(means).astype(dtype=int).tolist()
print(f"{means} mean is : {np.mean(means)}")