add single model test scripts (#5375)

* add single model test scripts

* update

* fix name error

.dev_scripts/benchmark_test_image.py

@@ -14,7 +14,13 @@ def parse_args():
     parser.add_argument('checkpoint_root', help='Checkpoint file root path')
     parser.add_argument('--img', default='demo/demo.jpg', help='Image file')
     parser.add_argument('--aug', action='store_true', help='aug test')
+    parser.add_argument('--model-name', help='model name to inference')
     parser.add_argument('--show', action='store_true', help='show results')
+    parser.add_argument(
+        '--wait-time',
+        type=float,
+        default=1,
+        help='the interval of show (s), 0 is block')
     parser.add_argument(
         '--device', default='cuda:0', help='Device used for inference')
     parser.add_argument(
@@ -23,9 +29,54 @@ def parse_args():
     return args
 
 
+def inference_model(config_name, checkpoint, args, logger=None):
+    cfg = Config.fromfile(config_name)
+    if args.aug:
+        if 'flip' in cfg.data.test.pipeline[1]:
+            cfg.data.test.pipeline[1].flip = True
+        else:
+            if logger is not None:
+                logger.error(f'{config_name}: unable to start aug test')
+            else:
+                print(f'{config_name}: unable to start aug test', flush=True)
+
+    model = init_detector(cfg, checkpoint, device=args.device)
+    # test a single image
+    result = inference_detector(model, args.img)
+
+    # show the results
+    if args.show:
+        show_result_pyplot(
+            model,
+            args.img,
+            result,
+            score_thr=args.score_thr,
+            wait_time=args.wait_time)
+    return result
+
+
 # Sample test whether the inference code is correct
 def main(args):
     config = Config.fromfile(args.config)
+
+    # test single model
+    if args.model_name:
+        if args.model_name in config:
+            model_infos = config[args.model_name]
+            if not isinstance(model_infos, list):
+                model_infos = [model_infos]
+            model_info = model_infos[0]
+            config_name = model_info['config'].strip()
+            print(f'processing: {config_name}', flush=True)
+            checkpoint = osp.join(args.checkpoint_root,
+                                  model_info['checkpoint'].strip())
+            # build the model from a config file and a checkpoint file
+            inference_model(config_name, checkpoint, args)
+            return
+        else:
+            raise RuntimeError('model name input error.')
+
+    # test all model
     logger = get_root_logger(
         log_file='benchmark_test_image.log', log_level=logging.ERROR)
 
@@ -40,25 +91,7 @@ def main(args):
                                   model_info['checkpoint'].strip())
             try:
                 # build the model from a config file and a checkpoint file
-                cfg = Config.fromfile(config_name)
-                if args.aug:
-                    if 'flip' in cfg.data.test.pipeline[1]:
-                        cfg.data.test.pipeline[1].flip = True
-                    else:
-                        logger.error(
-                            f'{config_name} " : Unable to start aug test')
-
-                model = init_detector(cfg, checkpoint, device=args.device)
-                # test a single image
-                result = inference_detector(model, args.img)
-                # show the results
-                if args.show:
-                    show_result_pyplot(
-                        model,
-                        args.img,
-                        result,
-                        score_thr=args.score_thr,
-                        wait_time=1)
+                inference_model(config_name, checkpoint, args, logger)
             except Exception as e:
                 logger.error(f'{config_name} " : {repr(e)}')