added some paramters; transpose the images; run a first processing outside the profiler

procprof/procprof.py

@@ -33,18 +33,23 @@ def main(fn_proc, fn_imgs):
     imgs = np.load(fn_imgs)
 
     pulse_id = timestamp = x_axis = y_axis = None
-    parameters = {
-        "camera_name": "test"
+    parameters = { #TODO: this should be read from a json config, like in the pipeline
+        "camera_name": "test",
+        "roi_background": [0, 2048, 50, 350],
+        "roi_signal": [0, 2048, 550, 850],
+        "project_axis": 1
     }
 
     def test():
         for i, img in enumerate(imgs):
 #            print(i)
             res = proc(
-                img,
+                img.T,
                 pulse_id, timestamp, x_axis, y_axis, parameters
             )
 
+    proc(imgs[0].T, pulse_id, timestamp, x_axis, y_axis, parameters)
+
     timestamp = datetime.now().strftime("%Y%m%d-%H%M%S")
     os.makedirs("prof", exist_ok=True)
     fn_base_res = f"prof/{fn_proc}-{timestamp}"
@@ -75,7 +80,7 @@ def write_stats(p, fn):
 
 # timing
 
-def func_timeit(func, fn, repeat=3, number=1):
+def func_timeit(func, fn, repeat=5, number=10):
     t = timeit.Timer(func)
     res = t.repeat(repeat=repeat, number=number)
     res = np.array(res)