add social distancing figure

README.md

@@ -171,14 +171,14 @@ For more info, run:
 **Examples** <br>
 An example from the Collective Activity Dataset is provided below.
 
-<img src="docs/frame0038.jpg" width="500"/>
+<img src="docs/frame0032.jpg" width="500"/>
 
 To visualize social distancing run the below, command:
 ```
-python -m monoloco.run predict docs/frame0038.jpg \
+python -m monoloco.run predict docs/frame0032.jpg \
 --social_distance --output_types front bird 
 ```
-<img src="docs/out_frame0038.jpg.front_bird.jpg" width="700"/>
+<img src="docs/out_frame0032_front_bird.jpg" width="700"/>
 
 
 ## C) Orientation and Bounding Box dimensions 

monoloco/predict.py

@@ -26,7 +26,8 @@ from .activity import show_social
 LOG = logging.getLogger(__name__)
 
 OPENPIFPAF_MODEL = 'https://drive.google.com/uc?id=1b408ockhh29OLAED8Tysd2yGZOo0N_SQ'
-MONOLOCO_MODEL = 'https://drive.google.com/uc?id=1krkB8J9JhgQp4xppmDu-YBRUxZvOs96r'
+MONOLOCO_MODEL_KI = 'https://drive.google.com/uc?id=1krkB8J9JhgQp4xppmDu-YBRUxZvOs96r'
+MONOLOCO_MODEL_NU = 'https://drive.google.com/uc?id=1BKZWJ1rmkg5AF9rmBEfxF1r8s8APwcyC'
 MONSTEREO_MODEL = 'https://drive.google.com/uc?id=1xztN07dmp2e_nHI6Lcn103SAzt-Ntg49'
 
 
@@ -54,18 +55,23 @@ def download_checkpoints(args):
 
     if args.mode == 'keypoints':
         return dic_models
-    elif args.model is not None:
+    if args.model is not None:
+        assert os.path.exists(args.model), "Model path not found"
         dic_models[args.mode] = args.model
         return dic_models
-    elif args.mode == 'mono':
-        model = os.path.join(torch_dir, 'monoloco_pp-201203-1424.pkl')
-        path = MONOLOCO_MODEL
-        dic_models[args.mode] = model
-    else:
-        model = os.path.join(torch_dir, 'monstereo-201202-1212.pkl')
+    if args.mode == 'stereo':
+        assert not args.social_distance, "Social distance not supported in stereo modality"
         path = MONSTEREO_MODEL
-        dic_models[args.mode] = model
+        name = 'monstereo-201202-1212.pkl'
+    elif args.social_distance:
+        path = MONOLOCO_MODEL_NU
+        name = 'monoloco_pp-201207-1350.pkl'
+    else:
+        path = MONOLOCO_MODEL_KI
+        name = 'monoloco_pp-201203-1424.pkl'
 
+    model = os.path.join(torch_dir, name)
+    dic_models[args.mode] = model
     if not os.path.exists(model):
         import gdown
         LOG.info(f'Downloading model (modality: {args.mode}) in {torch_dir}')

monoloco/run.py

@@ -46,7 +46,7 @@ def cli():
     predict_parser.add_argument('--monocolor-connections', default=False, action='store_true',
                                 help='use a single color per instance')
     predict_parser.add_argument('--instance-threshold', type=float, default=None, help='threshold for entire instance')
-    predict_parser.add_argument('--seed-threshold', type=float, default=None, help='threshold for single seed')
+    predict_parser.add_argument('--seed-threshold', type=float, default=0.5, help='threshold for single seed')
     predict_parser.add_argument('--disable-cuda', action='store_true', help='disable CUDA')
     predict_parser.add_argument('--focal',
                                 help='focal length in mm for a sensor size of 7.2x5.4 mm. Default nuScenes sensor',