def colorise(counts):
counts = np.reshape(counts, (counts.shape[0], counts.shape[1]))
colormap = make_npcolormap(MAX_COUNT+1,
[Color('black'), Color('darkblue'), Color('green'), Color('cyan'), Color('yellow'), Color('black')],
[16, 16, 32, 32, 128])
outarray = np.zeros((counts.shape[0], counts.shape[1], 3), dtype=np.uint8)
apply_npcolormap(outarray, counts, colormap)
return outarray
def colorise(counts):
counts = np.reshape(counts, (counts.shape[0], counts.shape[1]))
max_count = int(np.max(counts))
colormap = make_npcolormap(
max_count + 1,
[Color(0), Color('darkblue'),
Color('yellow'),
Color(1)], [0.5, 2, 7])
outarray = np.zeros((counts.shape[0], counts.shape[1], 3), dtype=np.uint8)
apply_npcolormap(outarray, counts, colormap)
return outarray
def colorise(counts):
counts = np.reshape(counts, (counts.shape[0], counts.shape[1]))
colormap = make_npcolormap(MAX_COUNT + 1, [
Color('black'),
Color('red'),
Color('orange'),
Color('yellow'),
Color('white')
], [16, 8, 32, 128])
outarray = np.zeros((counts.shape[0], counts.shape[1], 3), dtype=np.uint8)
apply_npcolormap(outarray, counts, colormap)
return outarray
def colorise(counts):
counts = np.reshape(counts, (counts.shape[0], counts.shape[1]))
colormap = make_npcolormap(
int(np.max(counts)) + 1, [
Color('black'),
Color('cadetblue'),
Color('yellow'),
Color('white'),
Color('white')
], [50, 100, 100, 102400])
outarray = np.zeros((counts.shape[0], counts.shape[1], 3), dtype=np.uint8)
apply_npcolormap(outarray, counts, colormap)
return outarray
def colorise(counts):
counts = np.reshape(counts, (counts.shape[0], counts.shape[1]))
colormap = make_npcolormap(
int(np.max(counts)) + 1, [
Color('firebrick'),
Color('goldenrod'),
Color('lime'),
Color('green'),
Color('darkgreen'),
Color('white')
], [5, 5, 5, 10, 10240])
outarray = np.zeros((counts.shape[0], counts.shape[1], 3), dtype=np.uint8)
apply_npcolormap(outarray, counts, colormap)
return outarray
def colorise(counts):
counts = np.reshape(counts, (counts.shape[0], counts.shape[1]))
power_counts = np.power(counts, 0.25)
maxcount = np.max(power_counts)
normalised_counts = (power_counts * 1023 / max(maxcount, 1)).astype(
np.uint32)
colormap = make_npcolormap(
1024, [Color('black'),
Color('green'),
Color('yellow'),
Color('red')])
outarray = np.zeros((counts.shape[0], counts.shape[1], 3), dtype=np.uint8)
apply_npcolormap(outarray, normalised_counts, colormap)
return outarray
