Replace colon with dash in timestamp variables (#620)

Prevent OS errors when running the Semantic Segmentation program on exFAT SSD.

Author: Cassius0924

ml3d/tf/pipelines/object_detection.py

@@ -62,7 +62,7 @@ def run_test(self):
         dataset = self.dataset
         cfg = self.cfg
 
-        timestamp = datetime.now().strftime('%Y-%m-%d_%H:%M:%S')
+        timestamp = datetime.now().strftime('%Y-%m-%d_%H-%M-%S')
 
         log_file_path = join(cfg.logs_dir, 'log_test_' + timestamp + '.txt')
         log.info("Logging in file : {}".format(log_file_path))
@@ -111,7 +111,7 @@ def run_valid(self, epoch=0):
         dataset = self.dataset
         cfg = self.cfg
 
-        timestamp = datetime.now().strftime('%Y-%m-%d_%H:%M:%S')
+        timestamp = datetime.now().strftime('%Y-%m-%d_%H-%M-%S')
 
         log_file_path = join(cfg.logs_dir, 'log_valid_' + timestamp + '.txt')
         log.info("Logging in file : {}".format(log_file_path))
@@ -212,7 +212,7 @@ def run_train(self):
 
         cfg = self.cfg
 
-        timestamp = datetime.now().strftime('%Y-%m-%d_%H:%M:%S')
+        timestamp = datetime.now().strftime('%Y-%m-%d_%H-%M-%S')
         log_file_path = join(cfg.logs_dir, 'log_train_' + timestamp + '.txt')
         log.info("Logging in file : {}".format(log_file_path))
         log.addHandler(logging.FileHandler(log_file_path))

ml3d/tf/pipelines/semantic_segmentation.py

@@ -147,7 +147,7 @@ def run_test(self):
         cfg = self.cfg
 
         self.load_ckpt(model.cfg.ckpt_path)
-        timestamp = datetime.now().strftime('%Y-%m-%d_%H:%M:%S')
+        timestamp = datetime.now().strftime('%Y-%m-%d_%H-%M-%S')
 
         log_file_path = join(cfg.logs_dir, 'log_test_' + timestamp + '.txt')
         log.info("Logging in file : {}".format(log_file_path))
@@ -192,7 +192,7 @@ def run_train(self):
         cfg = self.cfg
 
         log.info(model)
-        timestamp = datetime.now().strftime('%Y-%m-%d_%H:%M:%S')
+        timestamp = datetime.now().strftime('%Y-%m-%d_%H-%M-%S')
         log_file_path = join(cfg.logs_dir, 'log_train_' + timestamp + '.txt')
         log.info("Logging in file : {}".format(log_file_path))
         log.addHandler(logging.FileHandler(log_file_path))

ml3d/torch/pipelines/object_detection.py

@@ -85,7 +85,7 @@ def run_test(self):
 
         model.eval()
 
-        timestamp = datetime.now().strftime('%Y-%m-%d_%H:%M:%S')
+        timestamp = datetime.now().strftime('%Y-%m-%d_%H-%M-%S')
 
         log.info("DEVICE : {}".format(device))
         log_file_path = join(cfg.logs_dir, 'log_test_' + timestamp + '.txt')
@@ -145,7 +145,7 @@ def run_valid(self, epoch=0):
 
         model.eval()
 
-        timestamp = datetime.now().strftime('%Y-%m-%d_%H:%M:%S')
+        timestamp = datetime.now().strftime('%Y-%m-%d_%H-%M-%S')
 
         log.info("DEVICE : {}".format(device))
         log_file_path = join(cfg.logs_dir, 'log_valid_' + timestamp + '.txt')
@@ -282,7 +282,7 @@ def run_train(self):
 
         if rank == 0:
             log.info("DEVICE : {}".format(device))
-            timestamp = datetime.now().strftime('%Y-%m-%d_%H:%M:%S')
+            timestamp = datetime.now().strftime('%Y-%m-%d_%H-%M-%S')
 
             log_file_path = join(cfg.logs_dir,
                                  'log_train_' + timestamp + '.txt')

ml3d/torch/pipelines/semantic_segmentation.py

@@ -190,7 +190,7 @@ def run_test(self):
         model.eval()
         self.metric_test = SemSegMetric()
 
-        timestamp = datetime.now().strftime('%Y-%m-%d_%H:%M:%S')
+        timestamp = datetime.now().strftime('%Y-%m-%d_%H-%M-%S')
 
         log.info("DEVICE : {}".format(device))
         log_file_path = join(cfg.logs_dir, 'log_test_' + timestamp + '.txt')
@@ -320,7 +320,7 @@ def run_train(self):
         model.to(device)
 
         log.info("DEVICE : {}".format(device))
-        timestamp = datetime.now().strftime('%Y-%m-%d_%H:%M:%S')
+        timestamp = datetime.now().strftime('%Y-%m-%d_%H-%M-%S')
 
         log_file_path = join(cfg.logs_dir, 'log_train_' + timestamp + '.txt')
         log.info("Logging in file : {}".format(log_file_path))