Fix some config and add description

configs/yolov5/README.md

@@ -20,9 +20,11 @@ YOLOv5 is a family of object detection architectures and models pretrained on th
 **Note**:
 
 1. `fast` means that `YOLOv5DetDataPreprocessor` and `yolov5_collate` are used for data preprocessing, which is faster for training, but less flexible for multitasking. Recommended to use fast version config if you only care about object detection.
-2. `SyncBN` means use SyncBN, `AMP` indicates training with mixed precision.
-3. We use 8x A100 for training, and the single-GPU batch size is 16. This is different from the official code.
-4. The performance is unstable and may fluctuate by about 0.4 mAP.
+2. `detect` means that the network input is fixed to `640x640` and the post-processing thresholds is modified.
+3. `SyncBN` means use SyncBN, `AMP` indicates training with mixed precision.
+4. We use 8x A100 for training, and the single-GPU batch size is 16. This is different from the official code.
+5. The performance is unstable and may fluctuate by about 0.4 mAP.
+6. `balloon` means that this is a demo configuration.
 
 ## Citation
 

configs/yolov5/yolov5_s-v61_syncbn-detect_8xb16-300e_coco.py

@@ -16,7 +16,8 @@ test_pipeline = [
                    'scale_factor', 'pad_param'))
 ]
 
-val_dataloader = dict(dataset=dict(pipeline=test_pipeline))
+val_dataloader = dict(
+    dataset=dict(pipeline=test_pipeline, batch_shapes_cfg=None))
 test_dataloader = val_dataloader
 
 model = dict(

configs/yolov5/yolov5_s-v61_syncbn_8xb16-300e_coco.py

@@ -188,12 +188,7 @@ val_dataloader = dict(
         data_prefix=dict(img='val2017/'),
         ann_file='annotations/instances_val2017.json',
         pipeline=test_pipeline,
-        batch_shapes_cfg=dict(
-            type='BatchShapePolicy',
-            batch_size=val_batch_size_per_gpu,
-            img_size=img_scale[0],
-            size_divisor=32,
-            extra_pad_ratio=0.5)))
+        batch_shapes_cfg=batch_shapes_cfg))
 
 test_dataloader = val_dataloader
 

docs/en/algorithm_descriptions/model_design.md

@@ -3,6 +3,7 @@
 ## YOLO series model basic class
 
 The structural Graph is provided by RangeKing@GitHub. Thank you RangeKing！
+
 <div align=center>
 <img src="https://user-images.githubusercontent.com/27466624/190986949-01414a91-baae-4228-8828-c59db58dcf36.jpg" width=800 alt="base class">
 </div>

docs/en/user_guides/config.md

@@ -509,7 +509,7 @@ model = dict(
 
 ### Reuse variables in \_base\_ file
 
-If the users want to reuse the variables in the base file, they can get a copy of the corresponding variable by using `{{_base_.xxx}}`. The latest version of MMEngine also support reusing variables without `{{}}` usage. 
+If the users want to reuse the variables in the base file, they can get a copy of the corresponding variable by using `{{_base_.xxx}}`. The latest version of MMEngine also support reusing variables without `{{}}` usage.
 
 E.g: