Changeset 1210
- Timestamp:
- 04/02/23 20:39:42 (21 months ago)
- File:
-
- 1 edited
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framspy/dissimilarity/density-distribution.py
r1208 r1210 188 188 """ 189 189 190 min_x = np.min([np.min(array1[:,0]),np.min(array2[:,0])]) - self.EPSILON # EPSILON added and removed to deal boundary voxels191 max_x = np.max([np.max(array1[:,0]),np.max(array2[:,0])]) + self.EPSILON192 min_y = np.min([np.min(array1[:,1]),np.min(array2[:,1])]) - self.EPSILON193 max_y = np.max([np.max(array1[:,1]),np.max(array2[:,1])]) + self.EPSILON194 min_z = np.min([np.min(array1[:,2]),np.min(array2[:,2])]) - self.EPSILON195 max_z = np.max([np.max(array1[:,2]),np.max(array2[:,2])]) + self.EPSILON190 min_x = np.min([np.min(array1[:,0]),np.min(array2[:,0])]) 191 max_x = np.max([np.max(array1[:,0]),np.max(array2[:,0])]) 192 min_y = np.min([np.min(array1[:,1]),np.min(array2[:,1])]) 193 max_y = np.max([np.max(array1[:,1]),np.max(array2[:,1])]) 194 min_z = np.min([np.min(array1[:,2]),np.min(array2[:,2])]) 195 max_z = np.max([np.max(array1[:,2]),np.max(array2[:,2])]) 196 196 197 197 x_steps,x_step = np.linspace(min_x,max_x,self.steps,retstep=True) … … 199 199 z_steps,z_step = np.linspace(min_z,max_z,self.steps,retstep=True) 200 200 201 if self.steps == 1: 202 x_steps = [min_x,max_x] 203 y_steps = [min_y,max_y] 204 z_steps = [min_z,max_z] 205 x_step = max_x - min_x 206 y_step = max_y - min_y 207 z_step = max_z - min_z 201 for intervals in (x_steps, y_steps, z_steps): # EPSILON subtracted to deal with boundary voxels (one-sided open intervals and comparisons in loops in function getSignatures()) 202 intervals[0] -= self.EPSILON 208 203 209 204 steps_all = (x_steps,y_steps,z_steps)
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