34 lines
799 B
Python
34 lines
799 B
Python
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#!/usr/bin/env python3
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import sys
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import math
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import os
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import webp
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import pandas as pd
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import numpy as np
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from matplotlib import pyplot as plt
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dataset_path = sys.argv[1]
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print(dataset_path)
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timestamps = np.loadtxt(dataset_path + '/mav0/cam0/data.csv', usecols=[0], delimiter=',', dtype=np.int64)
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exposures = np.loadtxt(dataset_path + '/mav0/cam0/exposure.csv', usecols=[1], delimiter=',', dtype=np.int64)
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pixel_avgs = list()
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# check image data.
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img_extensions = ['.png', '.jpg', '.webp']
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for timestamp in timestamps:
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path = dataset_path + '/mav0/cam0/data/' + str(timestamp)
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img = webp.imread(dataset_path + '/mav0/cam0/data/' + str(timestamp) + '.webp')
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pixel_avgs.append(np.mean(img))
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plt.plot(exposures, pixel_avgs)
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plt.ylabel('Img Mean')
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plt.xlabel('Exposure')
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plt.show()
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