test

app.py

@@ -195,8 +195,8 @@ def predict_pipeline(img_input,
     # pdb.set_trace()
     #path_to_DLCmodel = DLC_models[dlc_model_input_str]
     #pose_cfg_path = os.path.join(path_to_DLCmodel,'pose_cfg.yaml')        
-    path_to_DLCmodel = DownloadModel(dlc_model_input_str, '/model/')
-    pose_cfg_path = '/model/pose_cfg.yaml'          
+    path_to_DLCmodel = DownloadModel(dlc_model_input_str, './model/')
+    pose_cfg_path = './model/pose_cfg.yaml'          
     # extract map label ids to strings
     # pose_cfg_dict['all_joints'] is a list of one-element lists,
     with open(pose_cfg_path, "r") as stream:

model/models.py

@@ -33,7 +33,7 @@ def DownloadModel(modelname, target_dir):
                 member.path = member.path[l:]
                 yield member
 
-    neturls = read_plainconfig("/model/pretrained_model_urls.yaml") #FIXME
+    neturls = read_plainconfig("./model/pretrained_model_urls.yaml") #FIXME
     
     if modelname in neturls.keys():
         url = neturls[modelname]