raab/efishSignalDetector
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bboxes: first implementation

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This commit is contained in:
Till Raab 2023-10-20 13:09:08 +02:00
parent 29f693554e
commit eafbaef4c6
1 changed files with 10 additions and 4 deletions
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14
data/generate_dataset.py
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@ -18,6 +18,9 @@ import os
from IPython import embed
from matplotlib.patches import Rectangle
# from matplotlib.collections import PatchCollection
def load_data(folder):
fill_freqs, fill_times, fill_spec = [], [], []
@ -127,7 +130,7 @@ def main(args):
(rise_idx[id_idx] >= times_v_idx0) &
(rise_idx[id_idx] <= times_v_idx1) &
(rise_size[id_idx] >= 10)], dtype=int)
rise_size_oi = rise_idx[id_idx][(rise_idx[id_idx] >= times_v_idx0) &
rise_size_oi = rise_size[id_idx][(rise_idx[id_idx] >= times_v_idx0) &
(rise_idx[id_idx] <= times_v_idx1) &
(rise_size[id_idx] >= 10)]
@ -152,10 +155,13 @@ def main(args):
right_time_bound[enu] = np.nan
else:
right_time_bound[enu] = rise_end_t[0]
# Create patch collection with specified colour/alpha
for enu in range(len(left_time_bound)):
if ~np.isnan(right_time_bound):
continue
ax.add_patch.Rectangle((left_time_bound, right_time_bound), (right_time_bound - left_time_bound), (upper_freq_bound - lower_freq_bound),
fill=False, color="k", linewidth=2)
embed()
quit()
plt.show()