Closedown

script/cpython/image_functions.py

@@ -1,4 +1,5 @@
 import numpy
+import time
 
 def img_get_int(fname,  thres1, thres2, thres3, thres4, header, width, height, depth, x1,y1,x2,y2, bx1,by1,bx2,by2 , filter_median = False, filter_nsigma = 0):
     # read actual image file    
@@ -11,10 +12,11 @@ def img_get_int(fname,  thres1, thres2, thres3, thres4, header, width, height, d
     thresh2_count = len(numpy.where(img>thres2)[0]) 
     thresh3_count = len(numpy.where(img>thres3)[0]) 
     thresh4_count = len(numpy.where(img>thres4)[0]) 
-
+    #time.sleep(1.0)
     # background roi
     I_sum_bgr = img[by1:by2, bx1:bx2].sum()
     area_bgr= (bx2 - bx1 + 1) * (by2 - by1 + 1)
+    
     return (I_sum, area_I, thresh1_count, thresh2_count, thresh3_count, thresh4_count, I_sum_bgr, area_bgr)
 
 

script/cpython/wrapper.py

@@ -4,10 +4,6 @@ def gfitoff(x, y, off=None, amp=None, com=None, sigma=None):
     ret = call_jep("cpython/GaussFit", "gfitoff", [to_npa(x), to_npa(y), off, amp, com, sigma])
     return ret if ret is None or is_list(ret) else ret.data
 
-
-
-
-from jeputils import *
 MODULE = "cpython/SimulatedCamera"
 
 

script/ms/test.py

@@ -1,3 +1,5 @@
+from jeputils import *
+
 def img_get_int(fname, thres1, thres2, thres3, thres4, header, width, height, depth, x1,y1,x2,y2, bx1,by1,bx2,by2 , filter_median = False, filter_nsigma = 0):    
     reload=True
     ret =  call_jep("cpython/image_functions", "img_get_int", [fname,  thres1, thres2, thres3, thres4, header, width, height, depth, x1,y1,x2,y2, bx1,by1,bx2,by2, filter_median, filter_nsigma], reload)