Working example with peak search

examples/1panel.geom

+adu_per_eV = 1.0  ; no idea
+clen = 0.13
+res = 4545
+photon_energy = 4972
+;photon_energy = 2
+
+dim0 = ss
+dim1 = fs
+data = /data/%/data
+
+;panel 0
+panel0/min_fs         = 0
+panel0/max_fs         = 999
+panel0/min_ss         = 0
+panel0/max_ss         = 999
+panel0/corner_y       = -500
+panel0/fs             = 1.0x
+panel0/ss             = 1.0y
+panel0/clen           = 1.3000000e-01
+panel0/res            = 4.5454545e+03
+panel0/coffset        = 0.0000000e+00
+panel0/adu_per_eV     = 1.0000000e+00
+panel0/max_adu        = 1.0000000e+06
+panel0/px             = 1000
+panel0/py             = 1000
+panel0/pix_width      = 2.2000000e-04
+panel0/d              = 1.3000000e-01
+panel0/corner_x       = -500
+

examples/find_peaks.py

+import h5py
+import os.path
+
+from pycrystfel.bindings import find_peaks_single_panel
+
+THIS_DIR = os.path.dirname(__file__)
+
+f = h5py.File(os.path.join(THIS_DIR, 'monolithic_img_1.h5'), 'r')
+arr = f['data/data'][()]
+print("Image shape:", arr.shape)
+
+find_peaks_single_panel(arr, os.path.join(THIS_DIR, '1panel.geom'))

pycrystfel/bindings.pyx

 import os
 
+from libc.stdint cimport uintptr_t
 from libc.stdlib cimport malloc, free
 cimport numpy as cnp
 
@@ -21,12 +22,16 @@ def find_peaks_single_panel(cnp.ndarray[cnp.npy_float, ndim=2] data, str geom_fi
     cdef:
         crystfel.beam_params beam
         crystfel.image image
+        void* bad_px_mask
 
     image.dp[0] = <float*>data.data
-    image.bad[0] = <int*>malloc(data.size * sizeof(int))
+    bad_px_mask = malloc(data.size * sizeof(int))
+    image.bad = <int**>&bad_px_mask
     image.det = crystfel.get_detector_geometry(os.fsencode(geom_file), &beam)
     print(f"Loaded geometry with {image.det.n_panels} panels")
 
+    image.features = NULL
+
     crystfel.search_peaks_peakfinder8(
         &image, max_n_peaks=200, threshold=20, min_snr=3, min_pix_count=2,
         max_pix_count=200, local_bg_radius=3, min_res=0, max_res=1200,