[Rbm]

- abort by user [q]
- cycle through training patetrn by [+],[-] keys
[Status]
- improved report interval
- added on_report(): called every report iterval

src/rbm/rbm.py

@@ -15,19 +15,30 @@ class MyStatus(Status):
 		Status.__init__(self, update_interval=2)
 		self.stack = _stack
 		self.batch = _batch
+		self.index = 0
 
 	def on_report(self, status: dict) -> bool:
-		# Show reconstruction
+		do_continue = True
+		# print status values
+		Status.print_status(status)
 		# Shape of training vector
 		shape = self.stack.from_index(0).shape[0:2] + (1,)
 
-		for n in range(self.batch.shape[0]):
-			img = self.stack.pass_down_up(self.batch[n,:])
-			cv_show("img", img, shape)
-			cv.waitKeyEx(1)
+		# User input
+		max_index = self.batch.shape[0]
+		key = cv.waitKeyEx(1)
+		if key == ord('q'):
+			do_continue = False
+		if key == ord('-'):
+			self.index = max(0, self.index-1)
+		if key == ord('+'):
+			self.index = min(max_index, self.index+1)
 
-		Status.print_status(status)
-		return True
+		# Show reconstruction
+		img = self.stack.pass_down_up(self.batch[self.index,:])
+		cv_show("img", img, shape)
+
+		return do_continue
 
 def read_armadillo(filename: str) -> np.ndarray:
 	result = None
@@ -76,7 +87,7 @@ def main(prj_name: str = "test"):
 	stack.state_save()
 
 if __name__ == "__main__":
-	main("prims")
+	main("norb_small_16h")
 	cv.destroyAllWindows()
 
 	print("Test: [passed]")

src/rbm/status.py

@@ -15,6 +15,7 @@ class Status:
 				print(f"{key}              : {value}{unit}")
 
 	def on_change(self, status: dict) -> bool:
+		do_continue = True
 		if status == {}:
 			self.progress = -1
 
@@ -22,9 +23,9 @@ class Status:
 			progress = status["progress"]['value']
 			if self.progress < 0 or progress - self.progress >= self.update_interval:
 				self.progress = progress
-				self.on_report(status=status)
+				do_continue = self.on_report(status=status)
 
-		return True
+		return do_continue
 
 	def on_report(self, status: dict) -> bool:
 		return True