What type of neural network should I use to detect meteors in images?
This is not a NN solution but can you adjust the parameters to opencv's HoughLine? There should be a way to find just the straight lines. There should be a way to adjust the minimum line length value to be considered a meteors. Meteors will always appear straight. So only keep the results when the points have similar slopes and are near each other?

See this example:

import cv2
import numpy as np

img = cv2.imread('dave.jpg')
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
edges = cv2.Canny(gray,50,150,apertureSize = 3)
minLineLength = 100
maxLineGap = 10
lines = cv2.HoughLinesP(edges,1,np.pi/180,100,minLineLength,maxLineGap)
for x1,y1,x2,y2 in lines[0]:
    cv2.line(img,(x1,y1),(x2,y2),(0,255,0),2)

cv2.imwrite('houghlines5.jpg',img)


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