63 lines
1.6 KiB
Python
63 lines
1.6 KiB
Python
import yaml
|
|
import cv2 as cv
|
|
import numpy as np
|
|
import os
|
|
from ratio_pyrometry import rg_ratio_normalize
|
|
|
|
config = {}
|
|
with open("./config.yaml", "r") as yaml_stream:
|
|
config = yaml.safe_load(yaml_stream)
|
|
|
|
img_in_dir = "./images-input"
|
|
img_out_dir = "./images-output"
|
|
accepted_formats = [
|
|
".jpg",
|
|
".jpeg",
|
|
".png",
|
|
".tiff",
|
|
]
|
|
|
|
files = []
|
|
|
|
for file in os.listdir(img_in_dir):
|
|
filename = os.fsdecode(file)
|
|
valid = False
|
|
for fmt in accepted_formats:
|
|
if filename.endswith(fmt):
|
|
files.append(os.path.join(img_in_dir, filename))
|
|
valid = True
|
|
break
|
|
if not valid:
|
|
print(f"Invalid file extension for {filename}.")
|
|
exit
|
|
|
|
for filename in files:
|
|
with open(filename) as imgfile:
|
|
# read image & crop
|
|
img_orig = cv.imread(imgfile, cv.IMREAD_UNCHANGED)
|
|
|
|
img = rg_ratio_normalize(
|
|
img_orig,
|
|
config['i-darkcurrent'],
|
|
config['f-stop'],
|
|
config['exposure-time'],
|
|
config['iso'],
|
|
config['min-temp'],
|
|
config['max-temp'],
|
|
config['scaling-factor'],
|
|
)
|
|
|
|
# build & apply smoothing conv kernel
|
|
k = []
|
|
smoothing_radius = config['smoothing-radius']
|
|
for i in range(smoothing_radius):
|
|
k.append([1/(smoothing_radius**2) for i in range(smoothing_radius)])
|
|
kernel = np.array(k)
|
|
|
|
img = cv.filter2D(src=img, ddepth=-1, kernel=kernel)
|
|
|
|
# write colormapped image
|
|
img_jet = cv.applyColorMap(img, cv.COLORMAP_JET)
|
|
|
|
# TODO: GENERTE TEMP KEY & OUTPUT MATPLOTLIB
|