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Testing

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This commit is contained in:
Thomas 2023-03-21 20:02:03 +01:00
parent 1b541bdc75
commit 5991e3a98c
2 changed files with 21 additions and 6 deletions
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2
main.py
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@ -4,6 +4,6 @@ import numpyHDR
hdr = numpyHDR.NumpyHDR() hdr = numpyHDR.NumpyHDR()
liste = ['hdr/webcam20_3_2023_ev0.jpg','hdr/webcam20_3_2023_ev1.jpg','hdr/webcam20_3_2023_ev-2.jpg'] liste = ['hdr/webcam20_3_2023_ev0.jpg','hdr/webcam20_3_2023_ev1.jpg','hdr/webcam20_3_2023_ev-2.jpg']
hdr.input_image = liste hdr.input_image = liste
hdr.output_path = 'hdr/fused_merten7' hdr.output_path = 'hdr/fused_merten12'
hdr.compress_quality = 75 hdr.compress_quality = 75
hdr.sequence(0.8, 0.1) hdr.sequence(0.8, 0.1)

25
NumpyHDR.py → numpyHDR.py
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@ -1,5 +1,7 @@
from PIL import Image
import numpy as np import numpy as np
from PIL import Image
#import matplotlib.pyplot as plt #import matplotlib.pyplot as plt
class NumpyHDR: class NumpyHDR:
@ -131,10 +133,8 @@ class NumpyHDR:
# Load the input images and convert them to floating-point format. # Load the input images and convert them to floating-point format.
images = [] images = []
for path in image_paths: for path in image_paths:
#print(path) img = Image.open(path)
img = Image.open(path).convert('RGB')
img = img.resize((1280, 720)) img = img.resize((1280, 720))
img = np.array(img).astype(np.float32) / 255.0
img = np.power(img, gamma) img = np.power(img, gamma)
images.append(img) images.append(img)
@ -143,7 +143,6 @@ class NumpyHDR:
for img in images: for img in images:
gray = np.dot(img, [0.2989, 0.5870, 0.1140]) gray = np.dot(img, [0.2989, 0.5870, 0.1140])
#kernel = np.array([[-1, 1, -1], [1, 7, 1], [-1, 1, -1]])
kernel = np.array([[-1, -1, -1], [-1, 7, -1], [-1, -1, -1]]) kernel = np.array([[-1, -1, -1], [-1, 7, -1], [-1, -1, -1]])
laplacian = np.abs(self.convolve2d(gray, kernel)) laplacian = np.abs(self.convolve2d(gray, kernel))
weight = np.power(laplacian, contrast_weight) weight = np.power(laplacian, contrast_weight)
@ -200,6 +199,22 @@ class NumpyHDR:
return new_image return new_image
return fused return fused
def open_image(filename):
# Open the image file in binary mode
with open(filename, 'rb') as f:
# Read the binary data from the file
binary_data = f.read()
# Convert the binary data to a 1D numpy array of uint8 type
image_array = np.frombuffer(binary_data, dtype=np.uint8)
# Reshape the 1D array into a 2D array with the correct image shape
# (Assuming a 3-channel RGB image with shape (height, width))
height = int.from_bytes(binary_data[16:20], byteorder='big')
width = int.from_bytes(binary_data[20:24], byteorder='big')
image_array = image_array[24:].reshape((height, width, 3))
return image_array
def sequence(self, gain, weight): def sequence(self, gain, weight):
print(self.input_image) print(self.input_image)