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accumulating clusters in one array

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froejdh_e
2024-12-10 22:00:12 +01:00
parent 6a150e8d98
commit 7f2a23d5b1
4 changed files with 137 additions and 70 deletions
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37
python/examples/play.py
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@ -22,7 +22,9 @@ im = ax.imshow(cf.pedestal())
cf.pedestal()
cf.noise()
N = 200
N = 500
t0 = time.perf_counter()
hist1 = bh.Histogram(bh.axis.Regular(40, -2, 4000))
f.seek(0)
@ -31,23 +33,26 @@ t0 = time.perf_counter()
data = f.read_n(N)
t_elapsed = time.perf_counter()-t0
print(f'Reading {N} frames took {t_elapsed:.3f}s {N/t_elapsed:.0f} FPS')
clusters = []
n_bytes = data.itemsize*data.size
print(f'Reading {N} frames took {t_elapsed:.3f}s {N/t_elapsed:.0f} FPS, {n_bytes/1024**2:.4f} GB/s')
for frame in data:
clusters += [cf.find_clusters_without_threshold(frame)]
a = cf.find_clusters(frame)
clusters = cf.steal_clusters()
t_elapsed = time.perf_counter()-t0
print(f'Clustering {N} frames took {t_elapsed:.2f}s {N/t_elapsed:.0f} FPS')
t0 = time.perf_counter()
total_clusters = 0
for cl in clusters:
arr = np.array(cl, copy = False)
hist1.fill(arr['data'].sum(axis = 1).sum(axis = 1))
total_clusters += cl.size
# t_elapsed = time.perf_counter()-t0
print(f'Filling histogram with {total_clusters} clusters took: {t_elapsed:.3f}s')
print(f'Cluster per frame {total_clusters/N:.3f}')
# print(f'Clustering {N} frames took {t_elapsed:.2f}s {N/t_elapsed:.0f} FPS')
# t0 = time.perf_counter()
# total_clusters = clusters.size
# hist1.fill(clusters.sum())
# t_elapsed = time.perf_counter()-t0
# print(f'Filling histogram with the sum of {total_clusters} clusters took: {t_elapsed:.3f}s, {total_clusters/t_elapsed:.3g} clust/s')
# print(f'Average number of clusters per frame {total_clusters/N:.3f}')