[Feature] Save results to json file for kie. (#589)

* save results json for kie

* update config

* Fix KIE inference bug

Co-authored-by: gaotongxiao <gaotongxiao@gmail.com>

configs/kie/sdmgr/sdmgr_unet16_60e_wildreceipt.py

@@ -25,7 +25,10 @@ test_pipeline = [
     dict(
         type='Collect',
         keys=['img', 'relations', 'texts', 'gt_bboxes'],
-        meta_keys=['img_norm_cfg', 'img_shape', 'ori_filename'])
+        meta_keys=[
+            'img_norm_cfg', 'img_shape', 'ori_filename', 'filename',
+            'ori_texts'
+        ])
 ]
 
 dataset_type = 'KIEDataset'

mmocr/apis/inference.py

@@ -137,6 +137,8 @@ def model_inference(model,
                 img_prefix=None,
                 ann_info=ann,
                 bbox_fields=[])
+        if ann is not None:
+            data.update(dict(**ann))
 
         # build the data pipeline
         data = test_pipeline(data)

tools/kie_test_imgs.py

@@ -17,6 +17,38 @@ from mmocr.datasets import build_dataloader, build_dataset
 from mmocr.models import build_detector
 
 
+def save_results(model, img_meta, gt_bboxes, result, out_dir):
+    assert 'filename' in img_meta, ('Please add "filename" '
+                                    'to "meta_keys" in config.')
+    assert 'ori_texts' in img_meta, ('Please add "ori_texts" '
+                                     'to "meta_keys" in config.')
+
+    out_json_file = osp.join(out_dir,
+                             osp.basename(img_meta['filename']) + '.json')
+
+    idx_to_cls = {}
+    if model.module.class_list is not None:
+        for line in mmcv.list_from_file(model.module.class_list):
+            class_idx, class_label = line.strip().split()
+            idx_to_cls[int(class_idx)] = class_label
+
+    json_result = [{
+        'text':
+        text,
+        'box':
+        box,
+        'pred':
+        idx_to_cls.get(
+            pred.argmax(-1).cpu().item(),
+            pred.argmax(-1).cpu().item()),
+        'conf':
+        pred.max(-1)[0].cpu().item()
+    } for text, box, pred in zip(img_meta['ori_texts'], gt_bboxes,
+                                 result['nodes'])]
+
+    mmcv.dump(json_result, out_json_file)
+
+
 def test(model, data_loader, show=False, out_dir=None):
     model.eval()
     results = []
@@ -57,6 +89,10 @@ def test(model, data_loader, show=False, out_dir=None):
                     show=show,
                     out_file=out_file)
 
+                if out_dir:
+                    save_results(model, img_meta, gt_bboxes[i], result[i],
+                                 out_dir)
+
         for _ in range(batch_size):
             prog_bar.update()
     return results
@@ -69,7 +105,8 @@ def parse_args():
     parser.add_argument('checkpoint', help='Checkpoint file.')
     parser.add_argument('--show', action='store_true', help='Show results.')
     parser.add_argument(
-        '--show-dir', help='Directory where the output images will be saved.')
+        '--out-dir',
+        help='Directory where the output images and results will be saved.')
     parser.add_argument('--local_rank', type=int, default=0)
     parser.add_argument(
         '--device',
@@ -84,10 +121,10 @@ def parse_args():
 
 def main():
     args = parse_args()
-    assert args.show or args.show_dir, ('Please specify at least one '
-                                        'operation (show the results / save )'
-                                        'the results with the argument '
-                                        '"--show" or "--show-dir".')
+    assert args.show or args.out_dir, ('Please specify at least one '
+                                       'operation (show the results / save )'
+                                       'the results with the argument '
+                                       '"--show" or "--out-dir".')
     device = args.device
     if device is not None:
         device = ast.literal_eval(f'[{device}]')
@@ -117,7 +154,7 @@ def main():
     load_checkpoint(model, args.checkpoint, map_location='cpu')
 
     model = MMDataParallel(model, device_ids=device)
-    test(model, data_loader, args.show, args.show_dir)
+    test(model, data_loader, args.show, args.out_dir)
 
 
 if __name__ == '__main__':