Try to use image with peak finding

pycrystfel/bindings.pyx

 import os
 
+cimport numpy as cnp
+
 from . cimport crystfel
 
 def progress_bar(val, total, text):
@@ -13,3 +15,21 @@ def inspect_geom_file(path):
     print("panel names:", [det.panels[i].name for i in range(det.n_panels)])
     print("photon energy:", beam.photon_energy)
     crystfel.free_detector_geometry(det)
+
+def find_peaks_single_panel(cnp.ndarray[cnp.npy_float, ndim=2] data, str geom_file):
+    cdef:
+        crystfel.beam_params beam
+        crystfel.image image
+
+    image.dp[0] = data.data
+    image.det = crystfel.get_detector_geometry(os.fsencode(geom_file), &beam)
+
+    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,
+        use_saturated=True,
+    )
+    print("Done peak search")
+
+    npeaks = crystfel.image_feature_count(image.features)
+    print(f"Found {npeaks} peaks")

pycrystfel/crystfel.pxd

@@ -103,8 +103,8 @@ cdef extern from "crystfel/image.h":
     ImageFeatureList *features
     char* filename
 
-cdef extern from "crystfel/peakfinder8.h":
-  int peakfinder8(
+cdef extern from "crystfel/peaks.h":
+  int search_peaks_peakfinder8(
       image *img, int max_n_peaks, float threshold, float min_snr,
       int min_pix_count, int max_pix_count, int local_bg_radius, int min_res,
       int max_res, int use_saturated