updates

test.py

@@ -60,6 +60,7 @@ def test(
     for batch_i, (imgs, targets, paths, shapes) in enumerate(tqdm(dataloader, desc='Computing mAP')):
         targets = targets.to(device)
         imgs = imgs.to(device)
+        _, _, height, width = imgs.shape  # batch size, channels, height, width
 
         # Plot images with bounding boxes
         if batch_i == 0 and not os.path.exists('test_batch0.jpg'):
@@ -108,7 +109,12 @@ def test(
             correct = [0] * len(pred)
             if nl:
                 detected = []
-                tbox = xywh2xyxy(labels[:, 1:5]) * img_size  # target boxes
+                tcls_tensor = labels[:, 0]
+
+                # target boxes
+                tbox = xywh2xyxy(labels[:, 1:5])
+                tbox[[0, 2]] *= width
+                tbox[[1, 3]] *= height
 
                 # Search for correct predictions
                 for i, (*pbox, pconf, pcls_conf, pcls) in enumerate(pred):