Update caching (#1496)

train.py

@@ -412,7 +412,7 @@ if __name__ == '__main__':
     parser = argparse.ArgumentParser()
     parser.add_argument('--weights', type=str, default='yolov5s.pt', help='initial weights path')
     parser.add_argument('--cfg', type=str, default='', help='model.yaml path')
-    parser.add_argument('--data', type=str, default='data/voc.yaml', help='data.yaml path')
+    parser.add_argument('--data', type=str, default='data/coco128.yaml', help='data.yaml path')
     parser.add_argument('--hyp', type=str, default='data/hyp.scratch.yaml', help='hyperparameters path')
     parser.add_argument('--epochs', type=int, default=300)
     parser.add_argument('--batch-size', type=int, default=16, help='total batch size for all GPUs')

utils/datasets.py

@@ -472,7 +472,7 @@ class LoadImagesAndLabels(Dataset):  # for training/testing
         x['hash'] = get_hash(self.label_files + self.img_files)
         x['results'] = [nf, nm, ne, nc, i]
         torch.save(x, path)  # save for next time
-        logging.info(f"New cache created: '{path}'")
+        logging.info(f"New cache created: {path}")
         return x
 
     def __len__(self):