Make demo of slim support COCO dataset. (#33)

slim/prune/compress.py

@@ -52,7 +52,7 @@ logging.basicConfig(level=logging.INFO, format=FORMAT)
 logger = logging.getLogger(__name__)
 
 
-def eval_run(exe, compile_program, reader, keys, values, cls, test_feed):
+def eval_run(exe, compile_program, reader, keys, values, cls, test_feed, cfg):
     """
     Run evaluation program, return program outputs.
     """
@@ -75,9 +75,16 @@ def eval_run(exe, compile_program, reader, keys, values, cls, test_feed):
                        feed=feed_data,
                        fetch_list=[values[0]],
                        return_numpy=False)
-        outs.append(data['gt_box'])
-        outs.append(data['gt_label'])
-        outs.append(data['is_difficult'])
+
+        if cfg.metric == 'VOC':
+            outs.append(data['gt_box'])
+            outs.append(data['gt_label'])
+            outs.append(data['is_difficult'])
+        elif cfg.metric == 'COCO':
+            outs.append(data['im_info'])
+            outs.append(data['im_id'])
+            outs.append(data['im_shape'])
+
         res = {
             k: (np.array(v), v.recursive_sequence_lengths())
             for k, v in zip(keys, outs)
@@ -195,7 +202,7 @@ def main():
         #place = fluid.CPUPlace()
         #exe = fluid.Executor(place)
         results = eval_run(exe, program, eval_reader, eval_keys, eval_values,
-                           eval_cls, test_data_feed)
+                           eval_cls, test_data_feed, cfg)
 
         resolution = None
         if 'mask' in results[0]: