removing pdb

inference.py

@@ -103,6 +103,7 @@ model = init_detector(config_file, checkpoint_file, device='cuda:0')  # or devic
 model.dataset_meta['classes'] = classes
 model.dataset_meta['thing_classes'] = classes
 model.dataset_meta['stuff_classes'] = []
+model.dataset_meta['palette'] = model.dataset_meta['palette']*3
 
 print(model.cfg.visualizer)
 # init visualizer(run the block only once in jupyter notebook)
@@ -111,13 +112,11 @@ print(dir(visualizer))
 # the dataset_meta is loaded from the checkpoint and
 # then pass to the model in init_detector
 visualizer.dataset_meta = model.dataset_meta
-import pdb;pdb.set_trace()
+
 
 def inference_frame(image):
-    #import ipdb; ipdb.set_trace()
     result = inference_detector(model, image)
     # show the results
-    #import ipdb; ipdb.set_trace()
     frames = []
     cnt=0