Commit @f617e0aebfd20ba549b7c36eb69128802ea07125

윤영준 2023-08-23

missing boot up file

@f617e0aebfd20ba549b7c36eb69128802ea07125

290383f

f617e0a

action.py

--- action.py

+++ action.py


             }, 200
 
 
-crop_size = (512, 512)
-start_point = (750, 450)
-tf_toTensor = ToTensor()
+
 
 @Action.route('/image_anal')
 class fileUpload(Resource):

             arnn = AttentiveRNN(6, 3, 2)
             arnn.load_state_dict(torch.load("weights/ARNN_trained_weight_6_3_2.pt"))
             arnn.to(device=device)
+            crop_size = (512, 512)
+            start_point = (750, 450)
+            tf_toTensor = ToTensor()
             clasifier = Classifier()
             clasifier.load_state_dict(torch.load("weights/Classifier_512.pt"))
             clasifier.to(device=device)

290383f

f617e0a

database/database.py

--- database/database.py

+++ database/database.py


         where timestamp between {d_minus} and {d_plus};
         ''')
         result=cur.fetchall()
-        return result
-    
-
-        
-
-    
+        return result

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...	...	@@ -85,9 +85,4 @@
85	85	where timestamp between {d_minus} and {d_plus};
86	86	''')
87	87	result=cur.fetchall()
88		- return result
89		-
90		-
91		-
92		-
93		- (No newline at end of file)
	88	+ return result (No newline at end of file)

...	...	@@ -33,9 +33,7 @@
33	33	}, 200
34	34
35	35
36		-crop_size = (512, 512)
37		-start_point = (750, 450)
38		-tf_toTensor = ToTensor()
	36	+
39	37
40	38	@Action.route('/image_anal')
41	39	class fileUpload(Resource):
...	...	@@ -47,6 +45,9 @@
47	45	arnn = AttentiveRNN(6, 3, 2)
48	46	arnn.load_state_dict(torch.load("weights/ARNN_trained_weight_6_3_2.pt"))
49	47	arnn.to(device=device)
	48	+ crop_size = (512, 512)
	49	+ start_point = (750, 450)
	50	+ tf_toTensor = ToTensor()
50	51	clasifier = Classifier()
51	52	clasifier.load_state_dict(torch.load("weights/Classifier_512.pt"))
52	53	clasifier.to(device=device)

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