Tracker test

inference.py

@@ -154,6 +154,10 @@ def do_detection(dataloader, model, device, gp=None, batch_size=BATCH_SIZE, verb
             with torch.no_grad():
                 inf_out, _ = model(img, augment=False) 
 
+            print(inf_out.shape)
+            print(inf_out[1, :])
+            print(inf_out[:, 1])
+
             # Save shapes for resizing to original shape
             batch_shape = []
             for si, pred in enumerate(inf_out):

lib/fish_eye/tracker.py

@@ -131,7 +131,7 @@ class Tracker:
             json_data['fish'].append(fish_entry)
 
 
-        # filter 'fish' field by fish length
+        # filter 'fish' field by fish length and travel distance
         json_data = Fish_Length.add_lengths(json_data)
         invalid_ids = []
         if min_length != -1.0: